Job Description Job Description Locations: Athens, OH / New Albany, OH/Oklahoma City. OK/Plano, TX Schedule: 8-hour shifts Travel: Up to 100% Contract: Contract opportunity Job Overview We are looking for a hands-on Data Center Services Technician to support installation, maintenance, and operational activities in hyperscale and enterprise data center environments. This position is a good fit for candidates with experience in data center operations, structured cabling, telecommunications, field services, or Information Technology (IT) infrastructure . Key Responsibilities Install and deploy servers, network devices, storage equipment, and related infrastructure. Perform rack-and-stack activities and equipment installation. Install, route, terminate, label, and dress copper and fiber cabling. Install rack Power Distribution Units (PDUs) and connect equipment to power. Perform equipment provisioning and hardware component installation. Connect and support Out-of-Band (OOB) management systems. Perform continuity testing, fiber verification, and equipment turn-up. Perform Moves, Adds, Changes, and Disconnects (MACD) and Field-Replaceable Unit (FRU) replacements. Maintain installation records, test results, inventory, and as-built documentation. Identify and escalate technical, design, and safety issues. Required Qualifications High school diploma, technical certification, vocational training, or equivalent experience. 1+ year of experience in data centers, structured cabling, telecommunications, field services, or IT infrastructure. Hands-on experience with racks, servers, networking equipment, and cabling. Knowledge of copper and fiber cabling practices. Ability to read engineering drawings, installation documents, and Methods of Procedure (MOPs). Ability to work independently with minimal supervision. Valid state ID or driver's license. Ability to lift and move equipment up to 50 lbs. Comfortable working on ladders or elevated work platforms. Willingness to travel up to 100%. Preferred Experience Fiber verification and continuity testing. Optical networking. Equipment turn-up and provisioning. MACD activities. FRU replacement. Out-of-Band (OOB) management. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process.
09/25/2026
Full time
Job Description Job Description Locations: Athens, OH / New Albany, OH/Oklahoma City. OK/Plano, TX Schedule: 8-hour shifts Travel: Up to 100% Contract: Contract opportunity Job Overview We are looking for a hands-on Data Center Services Technician to support installation, maintenance, and operational activities in hyperscale and enterprise data center environments. This position is a good fit for candidates with experience in data center operations, structured cabling, telecommunications, field services, or Information Technology (IT) infrastructure . Key Responsibilities Install and deploy servers, network devices, storage equipment, and related infrastructure. Perform rack-and-stack activities and equipment installation. Install, route, terminate, label, and dress copper and fiber cabling. Install rack Power Distribution Units (PDUs) and connect equipment to power. Perform equipment provisioning and hardware component installation. Connect and support Out-of-Band (OOB) management systems. Perform continuity testing, fiber verification, and equipment turn-up. Perform Moves, Adds, Changes, and Disconnects (MACD) and Field-Replaceable Unit (FRU) replacements. Maintain installation records, test results, inventory, and as-built documentation. Identify and escalate technical, design, and safety issues. Required Qualifications High school diploma, technical certification, vocational training, or equivalent experience. 1+ year of experience in data centers, structured cabling, telecommunications, field services, or IT infrastructure. Hands-on experience with racks, servers, networking equipment, and cabling. Knowledge of copper and fiber cabling practices. Ability to read engineering drawings, installation documents, and Methods of Procedure (MOPs). Ability to work independently with minimal supervision. Valid state ID or driver's license. Ability to lift and move equipment up to 50 lbs. Comfortable working on ladders or elevated work platforms. Willingness to travel up to 100%. Preferred Experience Fiber verification and continuity testing. Optical networking. Equipment turn-up and provisioning. MACD activities. FRU replacement. Out-of-Band (OOB) management. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process.
Network Engineer DETAILS Location: Chesapeake, VA 23322 (onsite 5-days per week) Position Type: 6M Contract Hourly / Salary: to $60W2 JOB SUMMARY Vaco is currently seeking a Network Engineer for a 6M Contract that is located in Chesapeake, VA (onsite 5-days per week). The Network Engineer will support and enrich the enterprise network infrastructure within a large production environment. The Network Engineer will maintain and troubleshoot Layer 2 and foundational Layer 3 networking technologies, supporting switching, VLAN segmentation, trunking, wireless connectivity, and network access services while ensuring reliable day-to-day operations. The Network Engineer will work closely with existing network teams to assist with network implementation, configuration, troubleshooting, and operational support across wired and wireless environments. The ideal Network Engineer will possess strong switching fundamentals, practical networking experience, and the ability to support enterprise connectivity, security, and infrastructure initiatives while contributing to the overall stability and performance of the network environment. Enterprise Network Operations - Supporting / Maintaining Critical Network Infrastructure via Configuration / Monitoring / Troubleshooting / Resolution of Connectivity Issues Across Switching / Routing / Wireless / Access Layer Technologies Layer 2 Network Administration - Managing VLAN Architecture / Trunking / Spanning Tree / Authentication Services / Switch Configurations Ensuring Secure / Reliable Network Communications Network Troubleshooting / Incident Response - Investigating / Resolving Performance / Availability / Connectivity Issues via Systematic Analysis of Switching / Routing / Wireless / Endpoint Communication Paths Wireless / Access Network Support - Supporting WiFi Connectivity / Access Layer Deployments / Network Access Services Delivering Consistent User / Device Connectivity Across Enterprise Locations Network Implementation / Change Management - Supporting Network Upgrades / Equipment Deployments / Configuration Changes / Infrastructure Enhancements Following Established Change Control Processes Cross-Technology Infrastructure Support - Collaborating with Network / Security / Infrastructure Teams to Support Integrated Solutions Across Routing / Firewalls / Wireless Networking / Network Access Control (NAC) Technologies JOB REQUIREMENTS Enterprise Network Engineering (5+ years hands-on) - Supporting Enterprise Network Infrastructure Across Campus / Branch / Data Center Environments Layer 2 Networking Expertise (strong experience) - VLAN Design / Trunking / Spanning Tree / Port Security / Authentication Services / Switch Provisioning / Enterprise Access Layer Operations Routing / Layer 3 Fundamentals (working knowledge) - Routing Protocols / Technologies (Static Routing / OSPF / Default Routing / Inter-VLAN Routing / Route Redistribution Fundamentals) Cisco Switching Infrastructure - Configuring / Managing / Troubleshooting Cisco Catalyst Switching Platforms in Large Enterprise Environments Wireless Networking Support - Supporting Enterprise Wireless Infrastructure (WLAN Deployments / SSIDs / Authentication Services / Client Connectivity Troubleshooting / RF Fundamentals) Network Troubleshooting / Incident Resolution (advanced) - Troubleshooting Switching / Routing / Wireless / Client Connectivity Issues via Structured Root Cause Analysis Methodologies Network Access Control (NAC) - Supporting NAC Technologies (Authentication / Authorization / Device Access Policies / Endpoint Connectivity Management) Network Security Fundamentals (understanding) - Enterprise Security Concepts (ACLs / Segmentation / Network Access Controls / Secure Connectivity Best Practices) Infrastructure Monitoring / Operations - Utilizing Network Monitoring / Alerting / Performance Management Tools to Maintain Operational Stability / Resolve Infrastructure Issues Proactively Change Management / Network Implementations - Supporting Network Deployments / Hardware Refreshes / Configuration Changes / Infrastructure Upgrades Following Established Change Control Processes Documentation / Operational Standards - Creating / Maintaining Network Documentation (Diagrams / Runbooks / Configuration Standards / Support Procedures) Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/25/2026
Full time
Network Engineer DETAILS Location: Chesapeake, VA 23322 (onsite 5-days per week) Position Type: 6M Contract Hourly / Salary: to $60W2 JOB SUMMARY Vaco is currently seeking a Network Engineer for a 6M Contract that is located in Chesapeake, VA (onsite 5-days per week). The Network Engineer will support and enrich the enterprise network infrastructure within a large production environment. The Network Engineer will maintain and troubleshoot Layer 2 and foundational Layer 3 networking technologies, supporting switching, VLAN segmentation, trunking, wireless connectivity, and network access services while ensuring reliable day-to-day operations. The Network Engineer will work closely with existing network teams to assist with network implementation, configuration, troubleshooting, and operational support across wired and wireless environments. The ideal Network Engineer will possess strong switching fundamentals, practical networking experience, and the ability to support enterprise connectivity, security, and infrastructure initiatives while contributing to the overall stability and performance of the network environment. Enterprise Network Operations - Supporting / Maintaining Critical Network Infrastructure via Configuration / Monitoring / Troubleshooting / Resolution of Connectivity Issues Across Switching / Routing / Wireless / Access Layer Technologies Layer 2 Network Administration - Managing VLAN Architecture / Trunking / Spanning Tree / Authentication Services / Switch Configurations Ensuring Secure / Reliable Network Communications Network Troubleshooting / Incident Response - Investigating / Resolving Performance / Availability / Connectivity Issues via Systematic Analysis of Switching / Routing / Wireless / Endpoint Communication Paths Wireless / Access Network Support - Supporting WiFi Connectivity / Access Layer Deployments / Network Access Services Delivering Consistent User / Device Connectivity Across Enterprise Locations Network Implementation / Change Management - Supporting Network Upgrades / Equipment Deployments / Configuration Changes / Infrastructure Enhancements Following Established Change Control Processes Cross-Technology Infrastructure Support - Collaborating with Network / Security / Infrastructure Teams to Support Integrated Solutions Across Routing / Firewalls / Wireless Networking / Network Access Control (NAC) Technologies JOB REQUIREMENTS Enterprise Network Engineering (5+ years hands-on) - Supporting Enterprise Network Infrastructure Across Campus / Branch / Data Center Environments Layer 2 Networking Expertise (strong experience) - VLAN Design / Trunking / Spanning Tree / Port Security / Authentication Services / Switch Provisioning / Enterprise Access Layer Operations Routing / Layer 3 Fundamentals (working knowledge) - Routing Protocols / Technologies (Static Routing / OSPF / Default Routing / Inter-VLAN Routing / Route Redistribution Fundamentals) Cisco Switching Infrastructure - Configuring / Managing / Troubleshooting Cisco Catalyst Switching Platforms in Large Enterprise Environments Wireless Networking Support - Supporting Enterprise Wireless Infrastructure (WLAN Deployments / SSIDs / Authentication Services / Client Connectivity Troubleshooting / RF Fundamentals) Network Troubleshooting / Incident Resolution (advanced) - Troubleshooting Switching / Routing / Wireless / Client Connectivity Issues via Structured Root Cause Analysis Methodologies Network Access Control (NAC) - Supporting NAC Technologies (Authentication / Authorization / Device Access Policies / Endpoint Connectivity Management) Network Security Fundamentals (understanding) - Enterprise Security Concepts (ACLs / Segmentation / Network Access Controls / Secure Connectivity Best Practices) Infrastructure Monitoring / Operations - Utilizing Network Monitoring / Alerting / Performance Management Tools to Maintain Operational Stability / Resolve Infrastructure Issues Proactively Change Management / Network Implementations - Supporting Network Deployments / Hardware Refreshes / Configuration Changes / Infrastructure Upgrades Following Established Change Control Processes Documentation / Operational Standards - Creating / Maintaining Network Documentation (Diagrams / Runbooks / Configuration Standards / Support Procedures) Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/25/2026
Full time
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
If you're looking to learn from a winning information technology team and receive outstanding benefits that support your family- while working for a company that takes a people-first approach to business, we invite you to explore our IT Support Engineer position. This is an on-site position that requires traveling to and working at client locations in Boston, MA. Primary Purpose and Function The overall performance objective of the Support Engineer I is to provide the best possible support and customer service to our clients. They are responsible for handling requests that are submitted by our customers (typically by phone) and in all cases using good judgment and timeliness in responding to and resolving each issue to the customer's satisfaction. Success is defined by the timely resolution of requests in the best possible order based on priority. The position requires accurate documentation, tracking, and monitoring to ensure a timely resolution. Essential Functions and Responsibilities Customer Facing Provide front line phone coverage, and participate in various call center groups Provide on-site assistance to clients within your local geography Provide excellent customer service to Xantrion's client base. Provide technical support as assigned for issues related to computer systems, software, and hardware. Log and track support requests in ConnectWise. Prioritize and/or escalate tickets as required to ensure customer satisfaction. Brief customers, as well as management, on the status of current resolution efforts. Work with third party support providers when necessary. Follow up with customers to ensure an issue has been resolved. Administration Submit semi-monthly timesheet and expense reports. Attending scheduled training and meeting sessions. Meet with your manager regularly to discuss opportunities and achievements. Service Desk Duties Ability to work a variable shift any time during Xantrion's business hours. Perform audits of customer information and systems as necessary to ensure accuracy. Take support tickets from the dispatcher. Update and schedule service tickets until issues have been resolved or further escalated. Perform other duties or special projects as assigned. Position Requirements Formal Education & Certification Bachelor's degree from a four-year university or equivalent experience (not required) Technical certificates are a plus. Knowledge & Experience Minimum of 3 years of technical support experience required On-site technical support experience preferred. Basic diagnostic and analytical skills. Basic competency in the use and troubleshooting of MS Office products. Experience using Windows 7, 10, and/or Mac OS. Basic computer literacy across both hardware and software. Ability to be proactive and able to take direction and establish ownership of issues through resolution. Personal Attributes Positive attitude. Strong written, oral, and interpersonal communication skills. Strong telephone presence with organized follow-up skills. Ability to follow established operating procedures Strong, service-oriented, customer-focused. Strong attention to detail. Experience working constructively in a team-oriented, collaborative environment. Ability to effectively multitask, managing time, prioritizing and executing tasks in a high-pressure environment. Demonstrated interpersonal skills, able to foster strong relationships internally and externally. Can follow directions, as well as apply judgment and be flexible as the situation warrants. Performance Metrics Manager and peer review of goal achievement. Coachability, willingness to work as a member of a team. Detailed ticket notes at every step of the resolution. Appropriate amount of time is correctly coded per day. Ticket queue is properly scheduled. Assigned tasks do not "fall through the cracks". Internal and external customer satisfaction scores. Ticket closure rate relative to peers. Physical Demands Sitting or Standing for Long Periods: Ability to remain seated or standing at a workstation for extended durations, with regular breaks to prevent fatigue and maintain comfort. Viewing a Computer Monitor: Sustained ability to focus on a computer screen for tasks such as reading, typing, and data entry, with appropriate lighting and screen settings to reduce eye strain. Digital Dexterity and Hand/Eye Coordination: Proficient use of hands and fingers to operate office equipment, including frequent alpha/numeric keyboarding, mouse usage, and handling other peripherals with precision. Oral Communications: Engaging in clear and effective verbal communication over the phone, video calls, and occasionally in person, requiring strong speech and active listening skills. Use of Peripheral Devices: Handling and operating devices such as a mouse, headset, and other computer accessories with precision and ease. Basic Ergonomic Adjustments: Ability to adjust seating, monitor height, and other workstation elements to maintain comfort and reduce physical strain. Environmental Awareness: Maintaining a workspace free from excessive noise and distractions to ensure focus and productivity. Occasional Lifting and Moving: Ability to lift and move light objects, such as laptops, documents, and office supplies, as needed. Periodic Travel to Customer Offices: Willingness and ability to travel to customer offices as required, which may involve air travel, driving, ride-sharing, or using public transportation. Periodic Travel to Xantrion's Office: Willingness and ability to travel to Xantrion's office or shared workspace as needed, which may involve air travel, driving, ride-sharing, or using public transportation. Light Lifting and Carrying of Computers and Equipment: Ability to lift and carry computers and related equipment, typically weighing up to 20 pounds. Moving Heavy Equipment: Ability to move heavier items such as personal computers, servers, and battery backup systems, weighing up to 75 pounds, using proper lifting techniques and equipment to ensure safety. Company Policy and Procedure Compliance Follow and support company policies and procedures as well as all local, state, and federal laws. Always maintain confidentiality of company and customer records and information. Maintain a professional image, adhering to Xantrion's dress code. Must have an existing cell phone (running current Android or iOS). If applicable, Xantrion will provide a cell phone, internet connection, and home office equipment allowance. See the Xantrion Handbook for details. When Working Remote Must have a reliable, high-speed internet connection that effectively supports work responsibilities, including video conferencing. Must have a dedicated, secure, and private workspace. Unless arranged by Xantrion, shared work environments, such as coworking spaces, are unacceptable. Client information must always be kept private. Must use Xantrion-provided PC and headset to execute job functions. Benefits Salary range $60K - $70K; depending on experience. 100% of medical, dental, and vision for you and your family. 401K with company match up to 4% of salary. Certification reimbursement and annual training budget. 17 Days PTO per year in addition to paid training days. Bonuses for referring new clients or employees. Equal Opportunity Employer Xantrion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, age, color, sex, religion, sexual orientation, national origin, disability, medical condition, genetic information, pregnancy, military or veteran status, or any other protected characteristic as outlined by federal, state, or local laws. All employment is decided on the basis of qualifications, merit, and business needs at the time. We use AI to support our recruiting team, improve the candidate experiences, and allow our teams to spend more time on meaningful candidate interactions. Our use of AI is limited to administrative tasks such as organizing application information and taking or summarizing interview notes. AI does not screen, advance, or reject candidates, and it does not make hiring or any significant decisions. Applications and candidate qualifications are reviewed by our recruiting team, and all decisions about interviews, advancement, offers, and hiring are made by our recruiters and hiring managers.
09/25/2026
Full time
If you're looking to learn from a winning information technology team and receive outstanding benefits that support your family- while working for a company that takes a people-first approach to business, we invite you to explore our IT Support Engineer position. This is an on-site position that requires traveling to and working at client locations in Boston, MA. Primary Purpose and Function The overall performance objective of the Support Engineer I is to provide the best possible support and customer service to our clients. They are responsible for handling requests that are submitted by our customers (typically by phone) and in all cases using good judgment and timeliness in responding to and resolving each issue to the customer's satisfaction. Success is defined by the timely resolution of requests in the best possible order based on priority. The position requires accurate documentation, tracking, and monitoring to ensure a timely resolution. Essential Functions and Responsibilities Customer Facing Provide front line phone coverage, and participate in various call center groups Provide on-site assistance to clients within your local geography Provide excellent customer service to Xantrion's client base. Provide technical support as assigned for issues related to computer systems, software, and hardware. Log and track support requests in ConnectWise. Prioritize and/or escalate tickets as required to ensure customer satisfaction. Brief customers, as well as management, on the status of current resolution efforts. Work with third party support providers when necessary. Follow up with customers to ensure an issue has been resolved. Administration Submit semi-monthly timesheet and expense reports. Attending scheduled training and meeting sessions. Meet with your manager regularly to discuss opportunities and achievements. Service Desk Duties Ability to work a variable shift any time during Xantrion's business hours. Perform audits of customer information and systems as necessary to ensure accuracy. Take support tickets from the dispatcher. Update and schedule service tickets until issues have been resolved or further escalated. Perform other duties or special projects as assigned. Position Requirements Formal Education & Certification Bachelor's degree from a four-year university or equivalent experience (not required) Technical certificates are a plus. Knowledge & Experience Minimum of 3 years of technical support experience required On-site technical support experience preferred. Basic diagnostic and analytical skills. Basic competency in the use and troubleshooting of MS Office products. Experience using Windows 7, 10, and/or Mac OS. Basic computer literacy across both hardware and software. Ability to be proactive and able to take direction and establish ownership of issues through resolution. Personal Attributes Positive attitude. Strong written, oral, and interpersonal communication skills. Strong telephone presence with organized follow-up skills. Ability to follow established operating procedures Strong, service-oriented, customer-focused. Strong attention to detail. Experience working constructively in a team-oriented, collaborative environment. Ability to effectively multitask, managing time, prioritizing and executing tasks in a high-pressure environment. Demonstrated interpersonal skills, able to foster strong relationships internally and externally. Can follow directions, as well as apply judgment and be flexible as the situation warrants. Performance Metrics Manager and peer review of goal achievement. Coachability, willingness to work as a member of a team. Detailed ticket notes at every step of the resolution. Appropriate amount of time is correctly coded per day. Ticket queue is properly scheduled. Assigned tasks do not "fall through the cracks". Internal and external customer satisfaction scores. Ticket closure rate relative to peers. Physical Demands Sitting or Standing for Long Periods: Ability to remain seated or standing at a workstation for extended durations, with regular breaks to prevent fatigue and maintain comfort. Viewing a Computer Monitor: Sustained ability to focus on a computer screen for tasks such as reading, typing, and data entry, with appropriate lighting and screen settings to reduce eye strain. Digital Dexterity and Hand/Eye Coordination: Proficient use of hands and fingers to operate office equipment, including frequent alpha/numeric keyboarding, mouse usage, and handling other peripherals with precision. Oral Communications: Engaging in clear and effective verbal communication over the phone, video calls, and occasionally in person, requiring strong speech and active listening skills. Use of Peripheral Devices: Handling and operating devices such as a mouse, headset, and other computer accessories with precision and ease. Basic Ergonomic Adjustments: Ability to adjust seating, monitor height, and other workstation elements to maintain comfort and reduce physical strain. Environmental Awareness: Maintaining a workspace free from excessive noise and distractions to ensure focus and productivity. Occasional Lifting and Moving: Ability to lift and move light objects, such as laptops, documents, and office supplies, as needed. Periodic Travel to Customer Offices: Willingness and ability to travel to customer offices as required, which may involve air travel, driving, ride-sharing, or using public transportation. Periodic Travel to Xantrion's Office: Willingness and ability to travel to Xantrion's office or shared workspace as needed, which may involve air travel, driving, ride-sharing, or using public transportation. Light Lifting and Carrying of Computers and Equipment: Ability to lift and carry computers and related equipment, typically weighing up to 20 pounds. Moving Heavy Equipment: Ability to move heavier items such as personal computers, servers, and battery backup systems, weighing up to 75 pounds, using proper lifting techniques and equipment to ensure safety. Company Policy and Procedure Compliance Follow and support company policies and procedures as well as all local, state, and federal laws. Always maintain confidentiality of company and customer records and information. Maintain a professional image, adhering to Xantrion's dress code. Must have an existing cell phone (running current Android or iOS). If applicable, Xantrion will provide a cell phone, internet connection, and home office equipment allowance. See the Xantrion Handbook for details. When Working Remote Must have a reliable, high-speed internet connection that effectively supports work responsibilities, including video conferencing. Must have a dedicated, secure, and private workspace. Unless arranged by Xantrion, shared work environments, such as coworking spaces, are unacceptable. Client information must always be kept private. Must use Xantrion-provided PC and headset to execute job functions. Benefits Salary range $60K - $70K; depending on experience. 100% of medical, dental, and vision for you and your family. 401K with company match up to 4% of salary. Certification reimbursement and annual training budget. 17 Days PTO per year in addition to paid training days. Bonuses for referring new clients or employees. Equal Opportunity Employer Xantrion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, age, color, sex, religion, sexual orientation, national origin, disability, medical condition, genetic information, pregnancy, military or veteran status, or any other protected characteristic as outlined by federal, state, or local laws. All employment is decided on the basis of qualifications, merit, and business needs at the time. We use AI to support our recruiting team, improve the candidate experiences, and allow our teams to spend more time on meaningful candidate interactions. Our use of AI is limited to administrative tasks such as organizing application information and taking or summarizing interview notes. AI does not screen, advance, or reject candidates, and it does not make hiring or any significant decisions. Applications and candidate qualifications are reviewed by our recruiting team, and all decisions about interviews, advancement, offers, and hiring are made by our recruiters and hiring managers.
Xantrion is hiring a fully remote IT Support Engineer. If you're looking to learn from a winning team that takes a people-first approach and receive outstanding benefits that support your family, we invite you to explore our position! This role is hybrid, requiring onsites at client locations as needed. Shift time: 9am - 6pm Pacific-time. Work hours may vary. Primary Purpose and Function The overall performance objective of the Support Engineer I is to provide the best possible support and customer service to our clients. They are responsible for handling requests that are submitted by our customers (typically by phone) and in all cases using good judgment and timeliness in responding to and resolving each issue to the customer's satisfaction. Success is defined by the timely resolution of requests in the best possible order based on priority. The position requires accurate documentation, tracking, and monitoring to ensure a timely resolution. Essential Functions and Responsibilities Customer Facing Provide front line phone coverage, and participate in various call center groups Provide on-site assistance to clients within your local geography, if applicable Provide excellent customer service to Xantrion's client base. Provide technical support as assigned for issues related to computer systems, software, and hardware. Log and track support requests in ConnectWise. Prioritize and/or escalate tickets as required to ensure customer satisfaction. Brief customers, as well as management, on the status of current resolution efforts. Work with third party support providers when necessary. Follow up with customers to ensure an issue has been resolved. Administration Submit semi-monthly timesheet and expense reports. Attending scheduled training and meeting sessions. Meet with your manager regularly to discuss opportunities and achievements. Service Desk Duties Ability to work a variable shift any time during Xantrion's business hours. Perform audits of customer information and systems as necessary to ensure accuracy. Take support tickets from the dispatcher. Update and schedule service tickets until issues have been resolved or further escalated. Perform other duties or special projects as assigned. Position Requirements Formal Education & Certification Bachelor's degree from a four-year university or equivalent experience (not required) Technical certificates are a plus. Knowledge & Experience Minimum of 3 years of technical support experience required Some on-site technical support experience preferred. Basic diagnostic and analytical skills. Basic competency in the use and troubleshooting of MS Office products. Experience using Windows 7, 10, and/or Mac OS. Basic computer literacy across both hardware and software. Ability to be proactive and able to take direction and establish ownership of issues through resolution. Personal Attributes Positive attitude. Strong written, oral, and interpersonal communication skills. Strong telephone presence with organized follow-up skills. Ability to follow established operating procedures Strong, service-oriented, customer-focused. Strong attention to detail. Experience working constructively in a team-oriented, collaborative environment. Ability to effectively multitask, managing time, prioritizing and executing tasks in a high-pressure environment. Demonstrated interpersonal skills, able to foster strong relationships internally and externally. Can follow directions, as well as apply judgment and be flexible as the situation warrants. Performance Metrics Manager and peer review of goal achievement. Coachability, willingness to work as a member of a team. Detailed ticket notes at every step of the resolution. Appropriate amount of time is correctly coded per day. Ticket queue is properly scheduled. Assigned tasks do not "fall through the cracks". Internal and external customer satisfaction scores. Ticket closure rate relative to peers. Physical Demands Sitting or Standing for Long Periods: Ability to remain seated or standing at a workstation for extended durations, with regular breaks to prevent fatigue and maintain comfort. Viewing a Computer Monitor: Sustained ability to focus on a computer screen for tasks such as reading, typing, and data entry, with appropriate lighting and screen settings to reduce eye strain. Digital Dexterity and Hand/Eye Coordination: Proficient use of hands and fingers to operate office equipment, including frequent alpha/numeric keyboarding, mouse usage, and handling other peripherals with precision. Oral Communications: Engaging in clear and effective verbal communication over the phone, video calls, and occasionally in person, requiring strong speech and active listening skills. Use of Peripheral Devices: Handling and operating devices such as a mouse, headset, and other computer accessories with precision and ease. Basic Ergonomic Adjustments: Ability to adjust seating, monitor height, and other workstation elements to maintain comfort and reduce physical strain. Environmental Awareness: Maintaining a workspace free from excessive noise and distractions to ensure focus and productivity. Occasional Lifting and Moving: Ability to lift and move light objects, such as laptops, documents, and office supplies, as needed. Periodic Travel to Customer Offices: Willingness and ability to travel to customer offices as required, which may involve air travel, driving, ride-sharing, or using public transportation. Periodic Travel to Xantrion's Office: Willingness and ability to travel to Xantrion's office or shared workspace as needed, which may involve air travel, driving, ride-sharing, or using public transportation. Light Lifting and Carrying of Computers and Equipment: Ability to lift and carry computers and related equipment, typically weighing up to 20 pounds. Moving Heavy Equipment: Ability to move heavier items such as personal computers, servers, and battery backup systems, weighing up to 75 pounds, using proper lifting techniques and equipment to ensure safety. Company Policy and Procedure Compliance Follow and support company policies and procedures as well as all local, state, and federal laws. Always maintain confidentiality of company and customer records and information. Maintain a professional image, adhering to Xantrion's dress code. Must have an existing cell phone (running current Android or iOS). If applicable, Xantrion will provide a cell phone, internet connection, and home office equipment allowance. See the Xantrion Handbook for details. When Working Remote Must have a reliable, high-speed internet connection that effectively supports work responsibilities, including video conferencing. Must have a dedicated, secure, and private workspace. Unless arranged by Xantrion, shared work environments, such as coworking spaces, are unacceptable. Client information must always be kept private. Must use Xantrion-provided PC and headset to execute job functions. Benefits Salary range $60K - $65K; depending on experience. 100% of medical, dental, and vision for you and your family. 401K with company match up to 4% of salary. Certification reimbursement and annual training budget. 17 Days PTO per year in addition to paid training days. Bonuses for referring new clients or employees. Equal Opportunity Employer Xantrion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, age, color, sex, religion, sexual orientation, national origin, disability, medical condition, genetic information, pregnancy, military or veteran status, or any other protected characteristic as outlined by federal, state, or local laws. All employment is decided on the basis of qualifications, merit, and business needs at the time. We use AI to support our recruiting team, improve the candidate experiences, and allow our teams to spend more time on meaningful candidate interactions. Our use of AI is limited to administrative tasks such as organizing application information and taking or summarizing interview notes. AI does not screen, advance, or reject candidates, and it does not make hiring or any significant decisions. Applications and candidate qualifications are reviewed by our recruiting team, and all decisions about interviews, advancement, offers, and hiring are made by our recruiters and hiring managers.
09/25/2026
Full time
Xantrion is hiring a fully remote IT Support Engineer. If you're looking to learn from a winning team that takes a people-first approach and receive outstanding benefits that support your family, we invite you to explore our position! This role is hybrid, requiring onsites at client locations as needed. Shift time: 9am - 6pm Pacific-time. Work hours may vary. Primary Purpose and Function The overall performance objective of the Support Engineer I is to provide the best possible support and customer service to our clients. They are responsible for handling requests that are submitted by our customers (typically by phone) and in all cases using good judgment and timeliness in responding to and resolving each issue to the customer's satisfaction. Success is defined by the timely resolution of requests in the best possible order based on priority. The position requires accurate documentation, tracking, and monitoring to ensure a timely resolution. Essential Functions and Responsibilities Customer Facing Provide front line phone coverage, and participate in various call center groups Provide on-site assistance to clients within your local geography, if applicable Provide excellent customer service to Xantrion's client base. Provide technical support as assigned for issues related to computer systems, software, and hardware. Log and track support requests in ConnectWise. Prioritize and/or escalate tickets as required to ensure customer satisfaction. Brief customers, as well as management, on the status of current resolution efforts. Work with third party support providers when necessary. Follow up with customers to ensure an issue has been resolved. Administration Submit semi-monthly timesheet and expense reports. Attending scheduled training and meeting sessions. Meet with your manager regularly to discuss opportunities and achievements. Service Desk Duties Ability to work a variable shift any time during Xantrion's business hours. Perform audits of customer information and systems as necessary to ensure accuracy. Take support tickets from the dispatcher. Update and schedule service tickets until issues have been resolved or further escalated. Perform other duties or special projects as assigned. Position Requirements Formal Education & Certification Bachelor's degree from a four-year university or equivalent experience (not required) Technical certificates are a plus. Knowledge & Experience Minimum of 3 years of technical support experience required Some on-site technical support experience preferred. Basic diagnostic and analytical skills. Basic competency in the use and troubleshooting of MS Office products. Experience using Windows 7, 10, and/or Mac OS. Basic computer literacy across both hardware and software. Ability to be proactive and able to take direction and establish ownership of issues through resolution. Personal Attributes Positive attitude. Strong written, oral, and interpersonal communication skills. Strong telephone presence with organized follow-up skills. Ability to follow established operating procedures Strong, service-oriented, customer-focused. Strong attention to detail. Experience working constructively in a team-oriented, collaborative environment. Ability to effectively multitask, managing time, prioritizing and executing tasks in a high-pressure environment. Demonstrated interpersonal skills, able to foster strong relationships internally and externally. Can follow directions, as well as apply judgment and be flexible as the situation warrants. Performance Metrics Manager and peer review of goal achievement. Coachability, willingness to work as a member of a team. Detailed ticket notes at every step of the resolution. Appropriate amount of time is correctly coded per day. Ticket queue is properly scheduled. Assigned tasks do not "fall through the cracks". Internal and external customer satisfaction scores. Ticket closure rate relative to peers. Physical Demands Sitting or Standing for Long Periods: Ability to remain seated or standing at a workstation for extended durations, with regular breaks to prevent fatigue and maintain comfort. Viewing a Computer Monitor: Sustained ability to focus on a computer screen for tasks such as reading, typing, and data entry, with appropriate lighting and screen settings to reduce eye strain. Digital Dexterity and Hand/Eye Coordination: Proficient use of hands and fingers to operate office equipment, including frequent alpha/numeric keyboarding, mouse usage, and handling other peripherals with precision. Oral Communications: Engaging in clear and effective verbal communication over the phone, video calls, and occasionally in person, requiring strong speech and active listening skills. Use of Peripheral Devices: Handling and operating devices such as a mouse, headset, and other computer accessories with precision and ease. Basic Ergonomic Adjustments: Ability to adjust seating, monitor height, and other workstation elements to maintain comfort and reduce physical strain. Environmental Awareness: Maintaining a workspace free from excessive noise and distractions to ensure focus and productivity. Occasional Lifting and Moving: Ability to lift and move light objects, such as laptops, documents, and office supplies, as needed. Periodic Travel to Customer Offices: Willingness and ability to travel to customer offices as required, which may involve air travel, driving, ride-sharing, or using public transportation. Periodic Travel to Xantrion's Office: Willingness and ability to travel to Xantrion's office or shared workspace as needed, which may involve air travel, driving, ride-sharing, or using public transportation. Light Lifting and Carrying of Computers and Equipment: Ability to lift and carry computers and related equipment, typically weighing up to 20 pounds. Moving Heavy Equipment: Ability to move heavier items such as personal computers, servers, and battery backup systems, weighing up to 75 pounds, using proper lifting techniques and equipment to ensure safety. Company Policy and Procedure Compliance Follow and support company policies and procedures as well as all local, state, and federal laws. Always maintain confidentiality of company and customer records and information. Maintain a professional image, adhering to Xantrion's dress code. Must have an existing cell phone (running current Android or iOS). If applicable, Xantrion will provide a cell phone, internet connection, and home office equipment allowance. See the Xantrion Handbook for details. When Working Remote Must have a reliable, high-speed internet connection that effectively supports work responsibilities, including video conferencing. Must have a dedicated, secure, and private workspace. Unless arranged by Xantrion, shared work environments, such as coworking spaces, are unacceptable. Client information must always be kept private. Must use Xantrion-provided PC and headset to execute job functions. Benefits Salary range $60K - $65K; depending on experience. 100% of medical, dental, and vision for you and your family. 401K with company match up to 4% of salary. Certification reimbursement and annual training budget. 17 Days PTO per year in addition to paid training days. Bonuses for referring new clients or employees. Equal Opportunity Employer Xantrion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, age, color, sex, religion, sexual orientation, national origin, disability, medical condition, genetic information, pregnancy, military or veteran status, or any other protected characteristic as outlined by federal, state, or local laws. All employment is decided on the basis of qualifications, merit, and business needs at the time. We use AI to support our recruiting team, improve the candidate experiences, and allow our teams to spend more time on meaningful candidate interactions. Our use of AI is limited to administrative tasks such as organizing application information and taking or summarizing interview notes. AI does not screen, advance, or reject candidates, and it does not make hiring or any significant decisions. Applications and candidate qualifications are reviewed by our recruiting team, and all decisions about interviews, advancement, offers, and hiring are made by our recruiters and hiring managers.
About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together's platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities Design and build Together's systems and infrastructure for model customization, including user-facing features and internal improvements Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response Create and improve internal tooling for deployment, continuous integration, and observability Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together Requirements 3+ years of experience in building infrastructure or backend components of production services Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms Strong software engineering background in Python or Go Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise Comfortable operating across the stack, from cluster operations and infrastructure automation to backend service development Experience in any of the following will make you stand out: Developing large-scale production systems with high reliability requirements Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA's networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) Deployment of services for AI training or inference Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools Maintaining or contributing to open-source projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
09/25/2026
Full time
About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together's platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities Design and build Together's systems and infrastructure for model customization, including user-facing features and internal improvements Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response Create and improve internal tooling for deployment, continuous integration, and observability Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together Requirements 3+ years of experience in building infrastructure or backend components of production services Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms Strong software engineering background in Python or Go Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise Comfortable operating across the stack, from cluster operations and infrastructure automation to backend service development Experience in any of the following will make you stand out: Developing large-scale production systems with high reliability requirements Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA's networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) Deployment of services for AI training or inference Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools Maintaining or contributing to open-source projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary In your role as a Network Strategy Engineer, you'll design, deploy, and sustain the semiconductor centric LAN, WAN, datacenter, and cloud networking fabric. They own every layer of the network stack-routers, firewalls, switches, VPN appliances, cabling, and associated hardware-delivering high availability, security, and scalability that support rigorous silicon fabrication and research workloads. You'll also provide technical leadership to the operations team, reviewing design, development, and implementation proposals to keep day to day activities in sync with long term strategy. They construct multi year and annual capacity budgets, balancing performance, cost, and risk across all platforms. Also, you'll continually evaluate emerging networking technologies and develop a forward looking roadmap that aligns evolving capabilities with business objectives, ensuring the organization remains poised for next generation innovation. Role and Responsibilities Here's What You'll Be Responsible For: Architect, plan, and maintain the semiconductor environment LAN, WAN, datacenter, and cloud infrastructures-including routers, firewalls, switches, VPN appliances, cabling, and related hardware. Provide technical oversight to the operation team on the design, development, and implementation of solution proposals. Develop multi year and annual capacity budgets for all platforms. Lead projects that expand, replace, or upgrade network infrastructure, hardware, and software. Define network requirements, establish architectural frameworks, and specify detailed designs and standards that align with business objectives. Investigate emerging technologies, evaluate their potential impact, and craft a long term technology roadmap. Skills and Qualifications Here's what you'll need: BS in Computer Science or Computer Engineering; MS in Computer Science or Computer Engineering preferred. Certification or advanced expertise in Cisco, Palo Alto, Arista, F5 / A10, and other networking technologies. A minimum of 8 years of experience designing, implementing, and supporting network infrastructure in complex environments. A solid understanding of networking protocols and concepts such as BGP, OSPF, EIGRP, STP, BGP, VPC, HSRP, VRRP, mLACP, MLag, VRF, PBR, IPv4 Subnetting, VSS, IGMP, PIM, Anycast-RP, MSDP, 802.1x, EAP-TLS, PEAP-MSCHAPv2, TACACS+, SYSLOG, QoS, Cisco IOS and NX-OS, EVPN, Vxlan. Experience in large-scale network design tailored for critical environments, high availability, low latency, and performance. The current base salary range for this role is between $70,480 - $179,090. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
09/25/2026
Full time
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary In your role as a Network Strategy Engineer, you'll design, deploy, and sustain the semiconductor centric LAN, WAN, datacenter, and cloud networking fabric. They own every layer of the network stack-routers, firewalls, switches, VPN appliances, cabling, and associated hardware-delivering high availability, security, and scalability that support rigorous silicon fabrication and research workloads. You'll also provide technical leadership to the operations team, reviewing design, development, and implementation proposals to keep day to day activities in sync with long term strategy. They construct multi year and annual capacity budgets, balancing performance, cost, and risk across all platforms. Also, you'll continually evaluate emerging networking technologies and develop a forward looking roadmap that aligns evolving capabilities with business objectives, ensuring the organization remains poised for next generation innovation. Role and Responsibilities Here's What You'll Be Responsible For: Architect, plan, and maintain the semiconductor environment LAN, WAN, datacenter, and cloud infrastructures-including routers, firewalls, switches, VPN appliances, cabling, and related hardware. Provide technical oversight to the operation team on the design, development, and implementation of solution proposals. Develop multi year and annual capacity budgets for all platforms. Lead projects that expand, replace, or upgrade network infrastructure, hardware, and software. Define network requirements, establish architectural frameworks, and specify detailed designs and standards that align with business objectives. Investigate emerging technologies, evaluate their potential impact, and craft a long term technology roadmap. Skills and Qualifications Here's what you'll need: BS in Computer Science or Computer Engineering; MS in Computer Science or Computer Engineering preferred. Certification or advanced expertise in Cisco, Palo Alto, Arista, F5 / A10, and other networking technologies. A minimum of 8 years of experience designing, implementing, and supporting network infrastructure in complex environments. A solid understanding of networking protocols and concepts such as BGP, OSPF, EIGRP, STP, BGP, VPC, HSRP, VRRP, mLACP, MLag, VRF, PBR, IPv4 Subnetting, VSS, IGMP, PIM, Anycast-RP, MSDP, 802.1x, EAP-TLS, PEAP-MSCHAPv2, TACACS+, SYSLOG, QoS, Cisco IOS and NX-OS, EVPN, Vxlan. Experience in large-scale network design tailored for critical environments, high availability, low latency, and performance. The current base salary range for this role is between $70,480 - $179,090. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary As the Technical Lead on our Network Strategy team you will be the driving force behind the design, deployment, and ongoing sustainment of our semiconductor centric LAN, WAN, datacenter, and cloud networking fabric. You will own every layer of the network stack-from routers, firewalls, and switches to VPN appliances, cabling, and all associated hardware-ensuring that each element delivers the high availability, security, and scalability required to support our silicon fabrication and research workloads. Your role will also encompass providing technical leadership to the operations team, rigorously reviewing design, development, and implementation proposals to keep day to day activities in sync with our long term strategy. You will be accountable for constructing multi year and annual capacity budgets, balancing performance, cost, and risk across all platforms. By continuously evaluating emerging networking technologies, you will craft a forward looking roadmap that aligns evolving capabilities with business objectives, ensuring the organization remains positioned for next generation innovation. Role and Responsibilities Here's What You'll Be Responsible For: Define and steer the overarching architectural strategy for semiconductor LAN, WAN, data center, and cloud networks, ensuring alignment with business goals and security policies. Lead multi vendor operations teams, providing executive guidance on solution design, development, and deployment. Own multi year and annual capacity budgeting for all platforms, coordinating with finance to forecast spend and ROI. Champion large scale infrastructure initiatives-expansion, replacement, and upgrade projects-driving scope, milestones, and outcomes. Establish network requirements, architectural frameworks, and design standards that meet regulatory and operational expectations. Evaluate emerging technologies, assess impact, and craft a long term technology roadmap to future proof the organization. Skills and Qualifications Here's what you'll need: BS in Computer Science or Computer Engineering; MS in Computer Science or Computer Engineering preferred. Certification or advanced expertise in Cisco, Palo Alto, Arista, F5 / A10, and other networking technologies. 15+ years of experience in designing, implementing, and supporting enterprise and data center networking, with deep expertise in LAN/WAN, cloud, and semiconductor centric environments. In depth knowledge of networking protocols and concepts such as BGP, OSPF, EIGRP, STP, BGP, VPC, HSRP, VRRP, mLACP, MLag, VRF, PBR, IPv4 Subnetting, VSS, IGMP, PIM, Anycast-RP, MSDP, 802.1x, EAP-TLS, PEAP-MSCHAPv2, TACACS+, SYSLOG, QoS, Cisco IOS and NX-OS, EVPN, Vxlan. 5+ years of leading cross functional teams, steering large scale networking projects from concept through production. Strong financial acumen to build and manage multi year capacity budgets, demonstrating the ability to balance performance, cost, and risk. Excellent communication and stakeholder management skills, able to translate technical details into actionable business insights. The current base salary range for this role is between $70,480 - $179,090. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
09/25/2026
Full time
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary As the Technical Lead on our Network Strategy team you will be the driving force behind the design, deployment, and ongoing sustainment of our semiconductor centric LAN, WAN, datacenter, and cloud networking fabric. You will own every layer of the network stack-from routers, firewalls, and switches to VPN appliances, cabling, and all associated hardware-ensuring that each element delivers the high availability, security, and scalability required to support our silicon fabrication and research workloads. Your role will also encompass providing technical leadership to the operations team, rigorously reviewing design, development, and implementation proposals to keep day to day activities in sync with our long term strategy. You will be accountable for constructing multi year and annual capacity budgets, balancing performance, cost, and risk across all platforms. By continuously evaluating emerging networking technologies, you will craft a forward looking roadmap that aligns evolving capabilities with business objectives, ensuring the organization remains positioned for next generation innovation. Role and Responsibilities Here's What You'll Be Responsible For: Define and steer the overarching architectural strategy for semiconductor LAN, WAN, data center, and cloud networks, ensuring alignment with business goals and security policies. Lead multi vendor operations teams, providing executive guidance on solution design, development, and deployment. Own multi year and annual capacity budgeting for all platforms, coordinating with finance to forecast spend and ROI. Champion large scale infrastructure initiatives-expansion, replacement, and upgrade projects-driving scope, milestones, and outcomes. Establish network requirements, architectural frameworks, and design standards that meet regulatory and operational expectations. Evaluate emerging technologies, assess impact, and craft a long term technology roadmap to future proof the organization. Skills and Qualifications Here's what you'll need: BS in Computer Science or Computer Engineering; MS in Computer Science or Computer Engineering preferred. Certification or advanced expertise in Cisco, Palo Alto, Arista, F5 / A10, and other networking technologies. 15+ years of experience in designing, implementing, and supporting enterprise and data center networking, with deep expertise in LAN/WAN, cloud, and semiconductor centric environments. In depth knowledge of networking protocols and concepts such as BGP, OSPF, EIGRP, STP, BGP, VPC, HSRP, VRRP, mLACP, MLag, VRF, PBR, IPv4 Subnetting, VSS, IGMP, PIM, Anycast-RP, MSDP, 802.1x, EAP-TLS, PEAP-MSCHAPv2, TACACS+, SYSLOG, QoS, Cisco IOS and NX-OS, EVPN, Vxlan. 5+ years of leading cross functional teams, steering large scale networking projects from concept through production. Strong financial acumen to build and manage multi year capacity budgets, demonstrating the ability to balance performance, cost, and risk. Excellent communication and stakeholder management skills, able to translate technical details into actionable business insights. The current base salary range for this role is between $70,480 - $179,090. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you'll be doing: Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms. Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet). Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures. Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly. Strong understanding of PCIe virtualization and IOMMU. Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments. Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures. Skilled in complex system-level debugging, performance analysis, and test design. BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience. Ways to stand out from the crowd: Experience with GPU computing (CUDA), deep learning workloads Expertise in Out of Band and In-band management architectures Knowledge of Memory fabric and CXL architectures NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Technology and Solutions Architecture team is innovating at the intersection of hardware and software- Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads. You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains. What You Can Expect Develop Next-Gen Solutions: Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure. Foster Innovation: Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography. Architect and Execute: Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs. Represent in Standards Bodies: Advocate Marvell's leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests. Analyze Performance: Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization. Build Simulation Environments: Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain. Document and Visualize Insights: Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries. Stay at the Forefront: Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance. What We're Looking For PhD or Master's degree in computer science and engineering, electrical engineering, or related field HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows Experience with simulators & modeling, GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads Expected Base Pay Range (USD) 94,160 - 141,000, $ per annum The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at . Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
09/25/2026
Full time
About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Technology and Solutions Architecture team is innovating at the intersection of hardware and software- Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads. You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains. What You Can Expect Develop Next-Gen Solutions: Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure. Foster Innovation: Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography. Architect and Execute: Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs. Represent in Standards Bodies: Advocate Marvell's leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests. Analyze Performance: Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization. Build Simulation Environments: Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain. Document and Visualize Insights: Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries. Stay at the Forefront: Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance. What We're Looking For PhD or Master's degree in computer science and engineering, electrical engineering, or related field HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows Experience with simulators & modeling, GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads Expected Base Pay Range (USD) 94,160 - 141,000, $ per annum The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at . Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions SOFTWARE ENGINEER II - MES Based at Rocket Lab's Engine Development Center in Long Beach, CA the Software Engineer II - MES will collaborate with teams across Engineering, Manufacturing, Technicians, and Operations to develop full-stack software solutions that are used to improve the efficiency of critical Rocket Lab operations. This role focuses on the in-house Manufacturing Execution System (MES) platform, as well as tools that integrate with the Enterprise Resource Planning (ERP) system and related products. WHAT YOU'LL GET TO DO: Work on applications that utilize relational databases and REST APIs within service-oriented architecture, ensuring seamless upstream and downstream interactions Design and develop database schemas, back-end and front-end web applications, user interfaces, and machine-to-machine services Write software and unit tests, maintain documentation, and review and approve source code merge requests Apply engineering concepts and theories to solve challenges, execute provided solutions, and navigate daily tasks within your technical system Create, review, and approve technical documents relevant to your expertise, while supporting peers and cross-functional teams Independently plan and execute tasks, ensuring priorities are understood Collaborate with other teams and support tasks or projects as needed, ensuring alignment with leadership and team goals Lead demonstrations of software products, deliver training, and deploy and support operational software systems YOU'LL BRING THESE QUALIFICATIONS: A degree or diploma in Software Engineering, Computer Science, Electrical Engineering, or other technical discipline 2+ years of professional software development experience Proficiency in statically typed programming languages (e.g., C#) Experience with modern TypeScript frameworks (e.g., Angular) Strong knowledge of relational databases and REST APIs US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Experience with manufacturing and aerospace industries Familiarity with AWS and other cloud providers Experience with Docker and Kubernetes Knowledge of Elasticsearch This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $112,475-$158,425 USD Base Salary $102,400-$140,800 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.
09/25/2026
Full time
ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions SOFTWARE ENGINEER II - MES Based at Rocket Lab's Engine Development Center in Long Beach, CA the Software Engineer II - MES will collaborate with teams across Engineering, Manufacturing, Technicians, and Operations to develop full-stack software solutions that are used to improve the efficiency of critical Rocket Lab operations. This role focuses on the in-house Manufacturing Execution System (MES) platform, as well as tools that integrate with the Enterprise Resource Planning (ERP) system and related products. WHAT YOU'LL GET TO DO: Work on applications that utilize relational databases and REST APIs within service-oriented architecture, ensuring seamless upstream and downstream interactions Design and develop database schemas, back-end and front-end web applications, user interfaces, and machine-to-machine services Write software and unit tests, maintain documentation, and review and approve source code merge requests Apply engineering concepts and theories to solve challenges, execute provided solutions, and navigate daily tasks within your technical system Create, review, and approve technical documents relevant to your expertise, while supporting peers and cross-functional teams Independently plan and execute tasks, ensuring priorities are understood Collaborate with other teams and support tasks or projects as needed, ensuring alignment with leadership and team goals Lead demonstrations of software products, deliver training, and deploy and support operational software systems YOU'LL BRING THESE QUALIFICATIONS: A degree or diploma in Software Engineering, Computer Science, Electrical Engineering, or other technical discipline 2+ years of professional software development experience Proficiency in statically typed programming languages (e.g., C#) Experience with modern TypeScript frameworks (e.g., Angular) Strong knowledge of relational databases and REST APIs US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Experience with manufacturing and aerospace industries Familiarity with AWS and other cloud providers Experience with Docker and Kubernetes Knowledge of Elasticsearch This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $112,475-$158,425 USD Base Salary $102,400-$140,800 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.
About the Role We're looking for a detail-oriented Data Center Operations professional to manage and track all break/fix activities across multiple data center locations. This role acts as the central point of coordination for hardware incidents, vendor dispatches, ticket management, asset tracking, and operational reporting to ensure maximum uptime and fast issue resolution. Responsibilities Track and manage all break/fix incidents across multiple data centers Monitor ticket queues and ensure SLA compliance for incident response and resolution Coordinate with on-site technicians, remote hands teams, vendors, and engineering groups Maintain accurate records of failed hardware, replacements, RMAs, and repair status Escalate critical outages and recurring infrastructure issues to leadership and engineering teams Schedule and oversee maintenance windows and emergency repair activities Provide daily/weekly operational status reports and incident summaries Ensure all work follows data center operational procedures and change management policies Identify trends in hardware failures and recommend process improvements Requirements Experience working in data center operations, IT infrastructure, or hardware support Strong understanding of server, storage, and networking hardware Experience with ticketing systems such as ServiceNow, Jira, or Remedy Ability to manage multiple priorities across several sites simultaneously Excellent communication and organizational skills Familiarity with SLA management and incident escalation processes Proficiency with Excel, reporting dashboards, and inventory tracking tools Preferred Qualifications Experience supporting enterprise or hyperscale data centers Knowledge of remote hands operations and vendor management Understanding of ITIL processes and change management CompTIA Server+, Network+, or similar certifications About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000-200,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
09/25/2026
Full time
About the Role We're looking for a detail-oriented Data Center Operations professional to manage and track all break/fix activities across multiple data center locations. This role acts as the central point of coordination for hardware incidents, vendor dispatches, ticket management, asset tracking, and operational reporting to ensure maximum uptime and fast issue resolution. Responsibilities Track and manage all break/fix incidents across multiple data centers Monitor ticket queues and ensure SLA compliance for incident response and resolution Coordinate with on-site technicians, remote hands teams, vendors, and engineering groups Maintain accurate records of failed hardware, replacements, RMAs, and repair status Escalate critical outages and recurring infrastructure issues to leadership and engineering teams Schedule and oversee maintenance windows and emergency repair activities Provide daily/weekly operational status reports and incident summaries Ensure all work follows data center operational procedures and change management policies Identify trends in hardware failures and recommend process improvements Requirements Experience working in data center operations, IT infrastructure, or hardware support Strong understanding of server, storage, and networking hardware Experience with ticketing systems such as ServiceNow, Jira, or Remedy Ability to manage multiple priorities across several sites simultaneously Excellent communication and organizational skills Familiarity with SLA management and incident escalation processes Proficiency with Excel, reporting dashboards, and inventory tracking tools Preferred Qualifications Experience supporting enterprise or hyperscale data centers Knowledge of remote hands operations and vendor management Understanding of ITIL processes and change management CompTIA Server+, Network+, or similar certifications About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000-200,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for rack-scale system SW/FW, working with CSP engineering teams to ensure they can deploy, monitor, and operate these systems reliably at fleet scale. In this role, you will collaborate with NVIDIA's cross-functional rack-scale system SW/FW engineering teams with dedicated CSP-facing technical leadership. Your focus is on the system-level software that manages, monitors, and recovers the rack as a whole - fabric management, GPU/NVSwitch error handling and recovery, health telemetry APIs, firmware update orchestration, and SW-driven serviceability. You will drive work streams with CSP engineering teams to build shared understanding of the architecture, incorporate their operational feedback, and ensure integration readiness. What you'll be doing: Drive rack-scale SW/FW architecture alignment across CSP engagements - including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and multi-component firmware orchestration Drive technical work streams with CSP engineering teams on rack-scale system software - ensuring they deeply understand fabric management, NVSwitch behavior, error handling and recovery policies, health telemetry APIs, and SW/FW-controlled recovery operation Capture and synthesize CSP engineering feedback on rack-scale system software - health monitoring APIs, SW-driven serviceability workflows, firmware update orchestration, and error recovery behavior - champion that feedback into NVIDIA's architecture decisions Collaborate with multi-functional teams to ensure customer operational requirements are reflected in system software and firmware development Identify cross-CSP patterns in rack-scale SW/FW issues, error handling behavior, and system configuration practices - drive documentation, tooling, and test strategy improvements as a result Collaborate with execution teams on left-shift strategy - ensuring customer-side SW/FW integration work is identified early and completed ahead of hardware availability Make critical technical decisions on rack-scale system SW/FW tradeoffs and mitigate execution risks through early engagement with CSP engineering teams What we need to see: 15+ years of experience in system software, platform firmware, or large-scale distributed systems engineering. BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience) Deep understanding of rack-scale system software challenges: multi-component coordination, error propagation, health monitoring, and serviceability / reliability Experience with fabric management software, cluster management, or system-level orchestration frameworks. Familiarity with firmware architectures and update lifecycle management (multi-component update sequencing, rollback, recovery) Understanding of error handling and recovery design patterns in distributed systems - fault isolation, retry policies, graceful degradation Experience with health monitoring and telemetry systems: health scoring, event correlation, API design for fleet-level observability Understanding of GPU or accelerator system software (drivers, device management, power management) is a strong plus Customer obsession - genuine passion for understanding how CSPs operate sophisticated systems at fleet scale and simplifying their experience Proven success providing technical leadership across organizational boundaries and influencing system software design without direct authority. Strong communication - ability to translate complex system software architecture into actionable mentorship for customer engineering teams Ways to stand out from the crowd: Experience with NVIDIA NVSwitch, NVOS, or GPU fabric management software Background in system software for large-scale clusters at a hyperscaler (cluster management, fleet orchestration, health platforms) Experience crafting error handling and recovery frameworks for multi-component systems (hundreds or thousands of coordinating devices) Familiarity with GPU or accelerator fleet operations - driver lifecycle, firmware rollout strategies, health-based scheduling Understanding of how system software decisions impact serviceability, availability, and operational cost at fleet scale NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for rack-scale system SW/FW, working with CSP engineering teams to ensure they can deploy, monitor, and operate these systems reliably at fleet scale. In this role, you will collaborate with NVIDIA's cross-functional rack-scale system SW/FW engineering teams with dedicated CSP-facing technical leadership. Your focus is on the system-level software that manages, monitors, and recovers the rack as a whole - fabric management, GPU/NVSwitch error handling and recovery, health telemetry APIs, firmware update orchestration, and SW-driven serviceability. You will drive work streams with CSP engineering teams to build shared understanding of the architecture, incorporate their operational feedback, and ensure integration readiness. What you'll be doing: Drive rack-scale SW/FW architecture alignment across CSP engagements - including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and multi-component firmware orchestration Drive technical work streams with CSP engineering teams on rack-scale system software - ensuring they deeply understand fabric management, NVSwitch behavior, error handling and recovery policies, health telemetry APIs, and SW/FW-controlled recovery operation Capture and synthesize CSP engineering feedback on rack-scale system software - health monitoring APIs, SW-driven serviceability workflows, firmware update orchestration, and error recovery behavior - champion that feedback into NVIDIA's architecture decisions Collaborate with multi-functional teams to ensure customer operational requirements are reflected in system software and firmware development Identify cross-CSP patterns in rack-scale SW/FW issues, error handling behavior, and system configuration practices - drive documentation, tooling, and test strategy improvements as a result Collaborate with execution teams on left-shift strategy - ensuring customer-side SW/FW integration work is identified early and completed ahead of hardware availability Make critical technical decisions on rack-scale system SW/FW tradeoffs and mitigate execution risks through early engagement with CSP engineering teams What we need to see: 15+ years of experience in system software, platform firmware, or large-scale distributed systems engineering. BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience) Deep understanding of rack-scale system software challenges: multi-component coordination, error propagation, health monitoring, and serviceability / reliability Experience with fabric management software, cluster management, or system-level orchestration frameworks. Familiarity with firmware architectures and update lifecycle management (multi-component update sequencing, rollback, recovery) Understanding of error handling and recovery design patterns in distributed systems - fault isolation, retry policies, graceful degradation Experience with health monitoring and telemetry systems: health scoring, event correlation, API design for fleet-level observability Understanding of GPU or accelerator system software (drivers, device management, power management) is a strong plus Customer obsession - genuine passion for understanding how CSPs operate sophisticated systems at fleet scale and simplifying their experience Proven success providing technical leadership across organizational boundaries and influencing system software design without direct authority. Strong communication - ability to translate complex system software architecture into actionable mentorship for customer engineering teams Ways to stand out from the crowd: Experience with NVIDIA NVSwitch, NVOS, or GPU fabric management software Background in system software for large-scale clusters at a hyperscaler (cluster management, fleet orchestration, health platforms) Experience crafting error handling and recovery frameworks for multi-component systems (hundreds or thousands of coordinating devices) Familiarity with GPU or accelerator fleet operations - driver lifecycle, firmware rollout strategies, health-based scheduling Understanding of how system software decisions impact serviceability, availability, and operational cost at fleet scale NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.