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Job Description Job Description Vexterra Group is currently searching for a TS/SCI cleared Hardware Exploitation Engineer to provide the following engineering support: Conduct technical hardware exploitation and examination of various digital media devices. Conduct reverse engineering, failure analysis, and vulnerability analysis of hardware to identify exploitation opportunities Modify hardware to either enable forensic analysis of the media or to change the functionality of the hardware for desired purposes Perform inspection, imaging, decapsulation, deprocessing, and other activities related to hardware reverse engineering and exploitation in a state of-the-art microelectronics exploitation laboratory Development and maintain frameworks, processes, design patterns, techniques, tools, and standards for conducting hardware exploitation of digital media Serve as a subject matter expert for IC/DOD customers Prepare clear and concise technical reports to a wide range of audiences Using knowledge gained through the application of reverse engineering and other research techniques, engineer low-level C and assembly. Position Requirements: Bachelor's degree in a Science, Technology, Engineer, and Mathematics (STEM) discipline and at least (5) five years of related experience. Must be Department of Defense (DoD) 8570 Compliant, IAT Level II. Solid understanding of programming language and operating system concepts and experience with assembly languages, such as, C, C++, Python, Perl, etc. Experience requiring skills in reverse engineering of embedded systems with proprietary operating systems for the purpose of introducing functionally to a fielded system. Experience requiring knowledge of C and Assembler software engineering for embedded platforms that run commercial and/or custom operating systems. Working experience in Microprocessors/Architectures: ARM, MIPS, RISC, PowerPC, XScale, StrongARM, x86. Contractor personnel shall be required to complete and pass a written test, prior to beginning work on the contract. Security Requirements: Must possess an active TS/SCI clearance w/ a Counterintelligence (CI) Polygraph. Highly Desired Experience: Experience Operating Systems: VxWorks, Integrity, Embedded Linux, JunOS, Linux, Unix, Windows Embedded. Experience with RTOS desired. Experience IDEs: Tornado, Workbench, VxSim, MULTI, TirneMachine, TraceEdge, Eagle CAD Experience in Hardware Tools and Debuggers: Green Hills Probe, SuperTrace Probe, Slingshot, spectrum analyzer, logic analyzer, JTAG, Agilent Technologies equipment. Working experience in Software Tools and Debuggers: Wireshark, IDA Pro, OllyDbg, pcap, gdb, make, hex editor. Powered by JazzHR XMrtXYDHJD

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are Deep understanding of server hardware, components, and management technologies. Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization . click apply for full job details

Job Description Job Description ABOUT ORGANOX: OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metra , is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfil its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions. Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data engineers, data product managers, and business stakeholders. The ideal candidate will be an organized, detail-oriented collaborator with strong communication. Listed below are the major responsibilities of the role and a brief description of some of the key tasks to be performed. This list is not totally exhaustive. This is an on-site position in Madison, NJ. The position is responsible for overseeing our complaint and servicing data systems and reporting frameworks, ensuring the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement. Major Responsibilities Under direction from the Director, Complaints Management, the Senior Data Analyst will be responsible for the following tasks: Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights Identify opportunities for process improvements Engage with managers to specify data requirements for analysis projects tailored to their unique business processes Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability Detect, examine, and decode trends or patterns within intricate datasets Employ statistical techniques to scrutinize data and produce actionable business insights Develop data dashboards, charts, and visual aids to support decision-making across departments Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights Manage and update databases to ensure they are secure, accessible, and functioning properly Coordinate with management to align business and informational priorities Adhere to the letter and spirit of OrganOx's Code of Conduct and all other company policies Requirements Skills & Experience Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R Proficient at create presentations and data visualizations within PowerPoint Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. Capable of critically evaluating data to derive meaningful, actionable insights Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background Experience in medical device or pharmaceutical industries preferred Ability to work independently Qualifications Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred. Minimum of two years of experience in a senior analytical role Ability to travel 10% Quality Management System process knowledge preferred Expertise with Databricks preferred A job description does not imply that the duties stated are the only ones to be performed by the job holder. Job holder will be required to follow any other job-related instruction as reasonably requested by their line manager or their designate. Benefits We offer competitive compensation and comprehensive benefits available from day one, including health, dental, vision, disability coverage, and flexible spending accounts. Additionally, we offer a 401(k)-retirement plan with company matching after 90 days, paid time off, holidays, and additional leave benefits, as well as employee discounts and access to our onsite wellness facility. OrganOx supports work-life balance and provides opportunities for ongoing professional development.

Job Description Job Description Description: About Central Semiconductor Central Semiconductor LLC, an AEM company, is a leading manufacturer of high-quality discrete semiconductor solutions, including surface mount and bare die devices. With a strong reputation for innovation and reliability, Central serves a broad range of industries requiring both advanced technology and continued support for legacy systems. Headquartered in Hauppauge, NY, and founded in 1974, Central maintains its position as a trusted partner by delivering tailored semiconductor solutions for today's most demanding applications. Position Summary The Field Applications Engineer supports Central Semiconductor's sales and customer engagement efforts by serving as a technical resource for customers, sales representatives, distributors, and internal teams. This role is responsible for understanding customer design requirements, recommending appropriate Central products and solutions, supporting pre- and post-sales technical discussions, and helping drive design activity, design wins, and long-term sales growth. This position works directly with customers to evaluate applications, resolve technical questions, support component selection, and communicate customer requirements back to internal engineering, quality, operations, and sales teams. The role requires strong semiconductor product knowledge, application awareness, communication skills, and the ability to travel domestically and internationally to support customer meetings, trade shows, and technical engagements. Essential Duties & Responsibilities: Identifies, develops, and maintains relationships with key customer technical decision makers, engineers, and influencers. Works directly with customers to understand system-level and component-level design requirements and recommend appropriate Central products or solutions. Provides pre- and post-sales technical support, including product selection, application guidance, component evaluation, board-level testing support, and troubleshooting. Collaborates with sales, engineering, quality, operations, and production teams to address customer design challenges, technical questions, and product requirements. Supports design-in and design-win activity by promoting Central products, tracking customer opportunities, and helping move technical opportunities through the sales cycle. Develops and presents customer-facing technical materials, including presentations, application notes, design guides, technical papers, product documentation, and training materials. Provides product and application-level training to sales teams, representatives, distributors, and customers. Represents the company at customer visits, trade shows, symposiums, and other technical or industry events. Other duties as assigned. Benefits of working with our team: This role is full-time, exempt Based in Hauppauge, NY this is an onsite role with domestic and international travel required We offer competitive compensation based on knowledge, skills, and relevant experience Discretionary bonus eligible Benefits for eligible employees include medical, dental, vision, life insurance, 401K with company match Organizational Overview AEM, headquartered in San Diego, California, (change based on company & location) is a portfolio company of Industrial Growth Partners (IGP), a private equity firm focused exclusively on middle-market industrial manufacturing and niche services businesses. Through its industry leading brands AEM, Renaissance Electronics, and Central Semiconductor, AEM serves niche applications across a diverse array of attractive markets including satellite, aerospace, defense, industrial, medical, EV/Battery, and telecom. AEM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Requirements: Minimum Qualifications: Education: Bachelor's degree in Electrical Engineering, Electronics Engineering, or a related technical field; equivalent directly related experience may be considered. Years of experience: Five to seven years of experience in applications engineering, field applications engineering, product engineering, design engineering, or a related technical role. Travel: This position requires both domestic and international travel approximately 30-50% of the time Must be a US Person Familiarity with and ability to interpret detailed customer specifications (electrical and mechanical) Ability to perform basic electronic circuit analysis in order to determine component selection Strong verbal and written communication skills, including the ability to explain technical concepts to both technical and non-technical audiences Experience preparing and delivering technical presentations Preferred Qualifications Experience in the discrete semiconductor industry, including diodes, rectifiers, transistors, MOSFETs, protection devices, or related components. Prior customer-facing engineering experience in a field applications, technical sales, or sales engineering role. Experience supporting design-in/design-win activity with OEMs, distributors, representatives, or strategic accounts. Familiarity with failure analysis, quality investigations, corrective action support and customer product qualifications Experience developing technical papers, application notes, training materials, product guides, or customer-facing technical documentation. Experience presenting at trade shows, symposiums, technical conferences, or customer training events. Experience dealing with customers in the Aerospace and Defense industry.

Job Description Job Description Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview. DISH Business requires streamlined, high-quality data reporting to empower key stakeholders, including executive leadership, sales, and marketing, with actionable insights. This role addresses the challenge of consolidating diverse data streams from multiple sources into cohesive, automated dashboards that highlight critical business trends and financial performance. By identifying reporting gaps and establishing robust quality assurance measures, this position ensures absolute data integrity across the department and drives proactive business decisions. What Success Looks Like (Objectives): Build, improve, and maintain meaningful dashboards for upper management, sales, and supporting teams to drive strategic decision-making Collaborate cross-departmentally to identify emerging reporting needs and translate stakeholder requirements into scalable data solutions Automate recurring and ad-hoc reporting processes, utilizing modern tools to reduce manual processing time and enhance department efficiency Analyze complex queries and scripts to uncover trends, investigate outliers, and provide actionable business impact suggestions Coordinate department quality assurance efforts, identifying and correcting account or data errors to maintain high-quality outputs Leverage AI-driven tools and automation techniques to streamline repetitive data querying and reporting tasks Skills, Experience and Requirements Core Skills and Competencies (What you'll bring): Strong analytical skills, with a proven ability to manage competing stakeholder requests and synthesize complex datasets Critical experiences in executing advanced SQL queries and developing insightful Tableau dashboards Excellent communication and collaboration abilities, allowing for seamless cross-functional interactions with all levels of management Strong attention to detail combined with a problem-solving mindset to identify data trends, discrepancies, and immediate business impacts Adaptability and curiosity, featuring a willingness to take risks, learn from failures, and adopt innovative reporting methodologies Foundational AI literacy, including the ability to apply AI tools for data exploration and prompt engineering to optimize workflows Additional Qualifications: Proficiency in or knowledge of programming languages such as Python or R Familiarity with cloud platforms such as AWS to support advanced data initiatives Minimum Requirements: Bachelor's Degree in Business, Finance, Computer Science, or a related field 2-4 years of experience in data analysis, business intelligence, or reporting SQL, Tableau, Microsoft Excel, and G-Suite Visa sponsorship not available for this role Benefits We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Job Description Job Description Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Wireless Technology team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model-combining our advanced, cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful, designed to satisfy the social, economic, and transformative needs of the changing world. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. Mobile devices require rigorous validation to eliminate performance degradation, dropped calls, and throughput failures prior to market launch. This role resolves device hardware and software defects through systematic manual and automated testing across LTE and 5G networks. The position bridges technical gaps between internal engineering teams and external OEM vendors to ensure pre-release hardware meets strict operational standards. Root-cause log analysis and precise defect reporting ensure seamless network integration and optimal device performance. What Success Looks Like (Objectives) Conduct manual and automated test suites across iOS and Android smartphones, tablets, and wearables to verify compliance with technical requirements and industry standards Analyze device logs using chipset vendor diagnostics and custom software to identify root causes of call failures, throughput bottlenecks, and network handovers Leverage AI-assisted log analysis tools to accelerate anomaly detection and automate defect classification during testing cycles Document hardware and software bugs in tracking platforms with clear replication steps to drive timely resolution with OEM vendors Maintain physical lab environments, flash pre-release firmware, and configure network simulators for specific call and data scenarios Skills, Experience and RequirementsCore Skills and Competencies (What You'll Bring) Strong foundational knowledge of wireless protocols and network technologies, including 4G LTE, 5G NR, Wi-Fi, and Bluetooth Hands-on technical proficiency with iOS and Android operating systems, developer configurations, firmware flashing, and command-line interfaces such as Android Debug Bridge (ADB) Expertise in operating network diagnostic software and interpreting complex technical log files to isolate intermittent performance issues AI literacy and application skills to enhance data interpretation, streamline defect triage, and optimize engineering workflows Strong written communication and decision-making skills to articulate complex engineering issues through structured test reports Critical experience collaborating with cross-functional technical teams and external hardware vendors to validate performance benchmarks Minimum Requirements Minimum Education: Bachelor's Degree in Electrical Engineering, Computer Science, Telecommunications, or a related technical field Minimum Experience: 1-3 years of experience in mobile device testing or wireless technical verification Required Technical Skills: Must have at least 1-3 years of experience with: iOS and Android platforms, developer options, and ADB tools Network protocol log capture and analysis tools (4G LTE / 5G NR) Bug tracking systems (e.g., Jira) and test case execution Visa sponsorship not available for this role Benefits We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: We are seeking a Hardware Production / Sustaining Engineer to strengthen Crusoe's Hardware Systems Engineering team and close critical skill gaps in debugging, validation, and production support of high-performance compute systems. In this role, you will take ownership of the full hardware lifecycle-from prototype bring-up to large-scale production-while driving automation, deep issue resolution, and reliability across Crusoe Cloud's GPU- and CPU-based infrastructure. You will work closely with cross-functional teams to support, debug, and improve hardware platforms at scale, with a particular focus on PCIe, InfiniBand, and NVMe/storage, which have been identified as essential areas for deeper expertise. Your work will directly impact Crusoe's ability to deploy and operate sustainable, AI-first compute systems with world-class performance and reliability. What You'll Be Working On: Drive the full hardware development and sustaining lifecycle, including feasibility, bring-up, validation, deployment, and ongoing production support. Develop and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability improvements. Lead deep troubleshooting and debugging across: PCIe (link training, topology, performance issues) InfiniBand (fabric debugging, throughput, connectivity issues) NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) Conduct rigorous system validation and characterization for GPU, CPU, and high-performance compute platforms. Support E2E integration and solution testing to ensure Crusoe Cloud products meet performance, reliability, and scalability expectations. Collaborate with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level issues and enable stable production operation. Drive prototyping, qualification, and readiness for high-volume manufacturing with both internal teams and external vendors. Identify opportunities for new hardware technologies, testing methods, and sustainability improvements aligned with Crusoe's long-term objectives. Provide data-driven insights to influence Crusoe's hardware roadmap and reliability strategy. What You'll Bring to the Team: 8-10+ years of experience in hardware development, validation, sustaining engineering, or production engineering. Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development. Deep proficiency in hardware bring-up, board-level debugging, and system-level validation. Ability to design and implement automation frameworks for hardware testing (Python, Shell, or similar). Technical background in digital and analog design, server architecture, and high-performance compute hardware. Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments. Strong analytical and problem-solving skills with a data-driven approach. Excellent communication and collaboration skills for working with internal teams and external partners. Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience. Bonus Points: Experience designing or optimizing GPU-to-GPU communication architectures for AI/ML workloads. Direct experience integrating NVLink or other next-generation GPU interconnect technologies. Familiarity with cutting-edge GPU architectures and how to leverage them in AI/HPC environments. Expertise supporting or designing systems across both ARM and x86 server architectures. Background in sustainable or energy-efficient hardware design practices. Advanced certifications or coursework in AI/HPC hardware systems. Compensation Range: Compensation will be paid in the range of $215,000 - $260,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description Description TrueNAS is redefining enterprise storage by delivering proven data resilience, performance, and flexibility without the complexity or constraints of legacy solutions. As the most deployed storage platform in the world, TrueNAS already powers critical data storage infrastructure for businesses, research institutions, and government agencies across 140+ countries and millions of users. Our mission is simple: to become the most trusted name in data storage. Originally founded in Silicon Valley in 2002 under the name iXsystems, TrueNAS is a profitable, independent company with a culture rooted in trust, curiosity, technical excellence, and continuous improvement. Whether you work remotely or on-site, you'll be part of a team that values collaboration and meaningful impact - where people come before profit, and bold ideas drive the future of data infrastructure. If you're ready to help shape the future of enterprise storage, we'd love to connect. Position Overview: As a Server Hardware Engineer IV, you serve as a subject matter expert in hardware evaluation, qualification, and optimization for TrueNAS Enterprise storage appliances. With typically 5-7+ years of hands-on experience in storage systems (including Linux / ZFS-based platforms), you lead and critically evaluate multiple concurrent projects, from new product introductions to sustaining and qualifying cutting-edge hardware components (e.g., high-capacity QLC drives, enclosures, firmware updates). You set the technical direction to enhance performance, reliability, and capabilities across diverse hardware configurations. Your work involves advanced hardware analysis, performance optimization for emerging technologies, close vendor collaboration to resolve critical issues, and seamless integration into enterprise-grade storage solutions. You maintain strong vendor relationships, stay ahead of industry trends in storage hardware, and provide deep technical mentorship to team members and cross-functional groups, delivering high-impact, enterprise solutions without formal people management responsibilities. This is an in-office position in Campbell, CA Base Pay Range The base pay range of this position is $130,000 to $180,000 USD annually. In addition to base salary, this position is eligible to participate in the Company's bonus program with a target bonus opportunity of 10% of base salary annually, subject to the achievement of individual and Company performance objectives and the terms of the applicable Company bonus plan. Please note that the provided range reflects the pay spectrum for positions within the same job category as the one to which this position belongs. The final offer will consider various factors, such as location, education, and prior experience, to ensure a comprehensive and fair compensation assessment. TrueNAS offers a comprehensive package of benefits including health, dental, vision, disability, and life insurance, paid time-off, 401(k), health and flexible spending accounts, stock purchase plan and more. Expected Posting Timelines This position will be open for a minimum of 5 days, a maximum of 90 days. The Day-to-Day The essential functions and responsibilities for this position include, but are not limited to, the following. Other duties may be assigned as needed. Lead hardware qualification and testing for TrueNAS Enterprise appliances, including new platform launches, drive qualifications (e.g., high-capacity QLC), enclosure firmware updates, and related investigations. Drive vendor partnerships to expedite fixes for essential bugs, provide detailed feedback on hardware issues, and ensure timely resolution of critical problems. Provide continual expert-level support for existing products, including root-cause analysis and resolution of complex customer deployments, failure analysis, and creation of clear fix plans. Act as a go-to technical resource across departments (Support, Operations, Product, Docs, etc.) for TrueNAS internals, hardware/firmware changes, and complex troubleshooting. Share deep knowledge through mentorship, technical enablement, and clear documentation (e.g., JIRA tickets, Confluence articles, instructions), accelerating company wide problem-solving. Maintain exceptional organization and ownership to keep critical projects on track. Contribute to cross-team programs (e.g., Change Control, NPI) by delivering prepared, knowledgeable input and proactive communication on hardware/firmware impacts. Education and Experience We have identified the following programs, experience, and knowledge that have helped others find success in this role at TrueNAS. We understand, though, that knowledge comes from many forms of learning and experiences. Above all, we consider a person's potential impact in the role and value their unique path to this point in their career. An undergraduate degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline is expected, with comparable work experience as an alternative. Deep technical expertise in TrueNAS internals, storage hardware qualification, ZFS / Linux-based systems, drive/enclosure technologies, Intel / AMD server processors, PCIe, networking, and firmware troubleshooting. Appliance Design - Understanding of combined hardware/software solutions as a unified appliance. Commonly seen in NAS/SAN/CDN space. Vendor management and collaboration - building relationships, providing actionable feedback, and driving expedited resolutions for hardware/firmware issues. Problem-solving - handling complex technical challenges while maintaining composure, ownership, and clear fix plans. Knowledge sharing and mentorship - freely sharing expertise, enabling team members/cross-functional groups, writing clear/concise instructions/documentation, and building long-term team capability. Technical leadership and ownership - leading projects autonomously, maintaining organization amid diverse workloads, and empowering others. Communication - providing thorough, helpful feedback; proactive updates on hardware changes; and clear, concise written instructions. Strategic thinking and innovation - balancing new platform development with sustaining existing products, identifying opportunities to improve quality and efficiency. Analytical thinking - conducting advanced analysis, root-cause investigations, and performance optimizations. Personal effectiveness and delivery - consistently delivering high-impact results and demonstrating exceptional reliability. Collaboration - working cross-functionally, contributing to team syncs/programs, and supporting organizational goals through technical enablement. Leading people (informally) - mentoring, knowledge transfer, and influencing positively without direct reports. Equal Employment Opportunity: iXsystems DBA TrueNAS, Inc provides equal employment opportunities to all employees and applicants in all company facilities without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer-related or HIV/AIDS-related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Job Description Job Summary Our Internal Acceleration team's mandate is to build agents to accelerate the production of frontier tokens. You'll work directly with our founders and embed with our production team to build new agentic harnesses and operating systems to transform the way hardware is built in an AI native world. You'll work on harnesses, tool use, context, and memory, execution environments, and evals that let agents conduct long-running engineering work that is useful. This role is for engineers who thrive on ambiguity, have real product sense, and want to own problems end to end. It's a whiteboard for future founders. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that. You may be a good fit if you Have at least 1-5+ years of experience building and shipping software end to end, ideally at a fast-moving startup Have built agents for complex, multi-step tasks that people depend on, beyond calling an API: tool design, long-context management, evals, and failure analysis. Are a strong software engineer who has built reliable systems others depend on, such as distributed systems, experiment infrastructure, or developer tooling. Use coding agents heavily, read their transcripts closely, and change the system when an agent is confidently wrong. Have high agency in unfamiliar domains. You find the real problem and drive it forward. Have product sense, design taste, and extreme attention to detail Key Responsibilities Embed with our production team to find the highest-leverage bottlenecks, and own each one from first idea to a tool engineers rely on every day. Build and deploy LLM agents wired into our engineering workflows via tool-calling and MCP. Build execution environments where agents can verify their own work, with sandboxed access to simulators, EDA flows, compilers, profilers, and real hardware. Ship full-stack internal products from zero to one: the interfaces, data pipelines, and infrastructure that define how Etched builds. Measure what works. Design evals and track adoption so we double down on the tools that matter and kill the ones that don't. Take on special projects directly with the founders, surfacing problems across the company and doing whatever it takes to hit critical milestones. Strong candidates may also have Exposure to chip development, kernels, hardware, or manufacturing. Infrastructure, data engineering, or DevOps experience Fine-tuning, RAG over proprietary technical data, or multi-agent orchestration Startup experience, especially through hypergrowth Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2,500 per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch and dinner in our office Unlimited compute budget subject to ROI justification Base Compensation Range $150K - $400K+ Plus Significant Equity How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Compensation Range: $150K - $400K

Job Description Job Description Job Summary Our Internal Acceleration team's mandate is to build agents to accelerate the production of frontier tokens. You'll work directly with our founders and embed with our ASIC team to build new agentic harnesses and operating systems to transform the way hardware is built in an AI native world. You'll work on harnesses, tool use, context, and memory, execution environments, and evals that let agents conduct long-running engineering work that is useful. This role is for engineers who thrive on ambiguity, have real product sense, and want to own problems end to end. It's a whiteboard for future founders. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that. You may be a good fit if you Have at least 1-5+ years of experience building and shipping software end to end, ideally at a fast-moving startup Have built agents for complex, multi-step tasks that people depend on, beyond calling an API: tool design, long-context management, evals, and failure analysis. Are a strong software engineer who has built reliable systems others depend on, such as distributed systems, experiment infrastructure, or developer tooling. Use coding agents heavily, read their transcripts closely, and change the system when an agent is confidently wrong. Have high agency in unfamiliar domains. You find the real problem and drive it forward. Have product sense, design taste, and extreme attention to detail Key Responsibilities Embed with our ASIC team to find the highest-leverage bottlenecks, and own each one from first idea to a tool engineers rely on every day. Build and deploy LLM agents wired into our engineering workflows via tool-calling and MCP. Build execution environments where agents can verify their own work, with sandboxed access to simulators, EDA flows, compilers, profilers, and real hardware. Ship full-stack internal products from zero to one: the interfaces, data pipelines, and infrastructure that define how Etched builds. Measure what works. Design evals and track adoption so we double down on the tools that matter and kill the ones that don't. Take on special projects directly with the founders, surfacing problems across the company and doing whatever it takes to hit critical milestones. Strong candidates may also have Exposure to chip development, kernels, hardware, or manufacturing. Infrastructure, data engineering, or DevOps experience Fine-tuning, RAG over proprietary technical data, or multi-agent orchestration Startup experience, especially through hypergrowth Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2,500 per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch and dinner in our office Unlimited compute budget subject to ROI justification Base Compensation Range $150K - $400K+ Plus Significant Equity How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Compensation Range: $150K - $400K

Job Description Job Description Job Summary Our Internal Acceleration team's mandate is to build agents to accelerate the production of frontier tokens. You'll work directly with our founders and embed with our ASIC team to build new agentic harnesses and operating systems to transform the way hardware is built in an AI native world. Your work will vary widely, and your success is measured by how much faster Etched moves, not by the lines of code you write. This role is for engineers who thrive on ambiguity, have real product sense, and want to own problems end to end. It's a whiteboard for future founders. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that. You may be a good fit if you Have at least 1-5+ years of experience building and shipping software end to end, ideally at a fast-moving startup Have strong full-stack skills. We care less about whether you write every line yourself and more about whether what you ship works Have built LLM agents or AI tooling that real users depend on, which means more than calling an API: context engineering, tool integration, evals, and failure analysis Use AI to ramp fast on unfamiliar domains. Agentic coding tools and frontier models are how you work, not an add-on Have product sense, design taste, and extreme attention to detail Have extreme agency: you find the real problem, not just the stated one Key Responsibilities Embed with our ASIC team to find the highest-leverage bottlenecks, and own each one from first idea to a tool engineers rely on every day. Build and deploy LLM agents wired into our engineering workflows via tool-calling and MCP. Ship full-stack internal products from zero to one: the interfaces, data pipelines, and infrastructure that define how Etched builds. Measure what works. Design evals and track adoption so we double down on the tools that matter and kill the ones that don't. Take on special projects directly with the founders, surfacing problems across the company and doing whatever it takes to hit critical milestones. Strong candidates may also have Exposure to chip development, kernels, hardware, or manufacturing. Infrastructure, data engineering, or DevOps experience Fine-tuning, RAG over proprietary technical data, or multi-agent orchestration Startup experience, especially through hypergrowth Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2,500 per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch and dinner in our office Unlimited compute budget subject to ROI justification Base Compensation Range $150K - $400K+ Plus Significant Equity How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Compensation Range: $150K - $400K

Job Description Job Description: Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today. We're looking for people who want to build, solve, and operate at that level. Join us and let's shape the future of data.Job Description This posting supports current and anticipated early-career hiring needs. Applying allows our recruiting team to consider you for opportunities that align with your qualifications, preferences, and availability. An immediate opening or interview is not guaranteed. Where are these roles located? You'll have the opportunity to work with teams in: Colorado Springs, Colorado Irvine, California Longmont, Colorado Fremont, California Rochester, Minnesota San Jose, California ASIC Engineering Design the silicon powering the future of data storage. As an ASIC Engineer, you'll help create the custom chips that power next-generation hard disk drives (HDDs). Working alongside experienced engineers, you'll contribute to digital design, verification, simulation, and optimization to deliver high-performance, energy-efficient products at global scale. What you'll do Design and verify ASIC architectures and digital logic Build simulations and validate complex hardware designs Support the ASIC development lifecycle-from architecture through synthesis, place-and-route, and timing closure Optimize performance, power, and reliability Collaborate across hardware, firmware, and systems engineering teams Technologies you'll use ASIC Design • RTL • Verilog/SystemVerilog • Digital Logic • Verification • Simulation • Timing Analysis • Low-Power Design Why you'll love this role Help build technology that stores the world's data. Learn from experienced semiconductor engineers. Work on cutting-edge silicon development. Solve challenging engineering problems with cross-functional teams. Build highly transferable chip design skills. Hardware Development Engineering Build the hardware behind the world's data. As a Hardware Development Engineer, you'll help develop the technologies that make modern data storage faster, more reliable, and higher capacity. You'll design, prototype, validate, and improve hardware while solving real engineering challenges alongside multidisciplinary teams. What you'll do Design and develop electronic hardware and magnetic recording systems Create validation strategies and automated test solutions Perform reliability, stress, and performance testing Analyze circuit boards, processors, sensors, and other hardware components Improve products from prototype through manufacturing Technologies you'll use Electronics • PCB Design • Signal Integrity • Hardware Validation • Reliability Engineering • Test Engineering • Data Analysis Why you'll love this role Design products used around the world. Work with advanced recording technologies. Gain hands-on laboratory experience. Collaborate with experts across multiple engineering disciplines. See your designs move from concept to production. Firmware Engineering Bring hardware to life through software. As a Firmware Engineer, you'll develop the embedded software that controls advanced storage devices. You'll work at the intersection of hardware and software, building reliable, high-performance firmware that enables world-class products. What you'll do Design, develop, and debug embedded firmware Write software in C, C++, Assembly, and other low-level languages Integrate firmware with analog and digital hardware Troubleshoot hardware-software interactions Improve system performance, functionality, and reliability Technologies you'll use Embedded Systems • C • C++ • Assembly • RTOS • Hardware Interfaces • Firmware Validation • Debugging Why you'll love this role Build software that directly controls hardware. Solve complex engineering challenges. Work closely with both hardware and software engineers. Learn how products operate at the lowest level. Develop highly sought-after embedded systems skills. Systems Design & Integration Engineering Connect hardware and software into complete products. As a Systems Design & Integration Engineer, you'll bring together hardware, firmware, and software to create reliable, high-performing storage systems. You'll solve integration challenges and ensure every subsystem works seamlessly together. What you'll do Define system requirements and technical specifications Integrate hardware, firmware, and software components Coordinate subsystem development across engineering teams Troubleshoot complex system-level issues Improve product performance, compatibility, and reliability Technologies you'll use Systems Engineering • Integration • Validation • Root Cause Analysis • Product Development • Cross-Functional Engineering Why you'll love this role Work across multiple engineering disciplines. Understand how complete products come together. Solve challenging integration problems. Gain broad technical exposure. Build systems-level engineering expertise. Mechanical Design Engineering Engineer the mechanics behind breakthrough technology. As a Mechanical Design Engineer, you'll design the precision mechanical systems that support advanced storage products. From concept through manufacturing, you'll help create innovative, reliable, and manufacturable solutions. What you'll do Design mechanical components, assemblies, and packaging Develop prototypes and evaluate new concepts Perform engineering analysis and design validation Conduct testing to improve performance and reliability Partner with manufacturing teams to prepare products for production Technologies you'll use CAD • Mechanical Design • Product Development • Prototype Testing • Design Validation • Manufacturing Engineering Why you'll love this role Turn ideas into real products. Design precision mechanical systems. Build and test prototypes. Collaborate across engineering teams. See your designs manufactured at scale. Equipment Engineering Build smarter manufacturing. As an Equipment Engineer, you'll optimize the advanced manufacturing equipment used to build world-class storage technology. You'll improve equipment performance, increase reliability, and help solve complex production challenges. What you'll do Install, upgrade, and optimize manufacturing equipment Improve equipment uptime, reliability, and process performance Investigate equipment failures and implement corrective actions Develop preventive maintenance strategies Partner with manufacturing and process engineers to drive continuous improvement Technologies you'll use Automation • Manufacturing Engineering • Preventive Maintenance • Root Cause Analysis • Reliability Engineering • Continuous Improvement Why you'll love this role Work with advanced manufacturing technology. Solve real-world production challenges. Improve efficiency through engineering. Learn automation and industrial systems. Help build products used around the world. System-on-Chip (SoC) Engineering Design the brains behind next-generation storage technology. As a System-on-Chip (SoC) Engineer, you'll help develop the intelligent controllers that power advanced storage products. Working at the intersection of hardware, firmware, and silicon, you'll design, integrate, verify, and validate complex SoC solutions that deliver high performance, reliability, and efficiency. What you'll do Design, integrate, and validate SoC components and subsystems Develop and verify digital logic, interfaces, and IP blocks Support simulation, debugging, and hardware bring-up Analyze system performance, power, timing, and reliability Collaborate with ASIC, firmware, hardware, and systems engineering teams Technologies you'll use SoC Architecture • RTL • Verilog/SystemVerilog • FPGA • Digital Design • Verification • Embedded Systems • Hardware Validation • Performance Optimization Why you'll love this role Build the controllers that power modern storage technology. Work across silicon, firmware, hardware, and systems engineering. Experience the complete chip development lifecycle. Solve complex semiconductor design challenges. Develop highly marketable SoC engineering skills. This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career. Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0-2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply.Qualifications Required: Currently pursuing or recently completed a Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Software Engineering, Manufacturing Engineering, Industrial Engineering, Mechatronics, Materials Engineering, Data Science, or a related engineering or technical discipline. Experience developing technical skills through coursework, internships, co-ops, research, laboratory work, capstone projects, hackathons, or personal projects in one or more areas such as software development, embedded systems, firmware, ASIC/SoC design, hardware development, systems engineering, mechanical design, manufacturing, automation, data analysis, testing, validation . click apply for full job details

Job Description Job Description Join the Team That's Redefining Wireless TechnologyAt Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible.About the Role Tarana is scaling field deployments 5 , and we're looking for a senior engineer to own the technical execution and continuous improvement of hardware failure analysis and diagnostics. You will lead investigations from the returned unit through root cause, disposition, and corrective action, while building the automation, data, and cross-functional processes that allow HW QA to scale with the fleet. As a Staff Hardware QA & Diagnostics Engineer you will have broad technical influence and ownership across multiple components. You'll lead ambiguous investigations, propose clear next steps, and partner closely with Hardware, Firmware, Software, Manufacturing, Customer Support, and Field teams; turn ambiguous field and production failures into evidence-based conclusions; and help define validation strategy for new hardware. You'll also help mentor engineers and raise the quality and consistency of the team's diagnostic practices. What You'll Own Lead end-to-end RMA and failure-analysis investigations: review field evidence, reproduce failures, isolate root cause, determine disposition, propose clear next steps, coordinate follow-through, and drive corrective actions to closure. Own the technical quality and timeliness of hardware diagnostic results, including clear separation of hardware, firmware/software, configuration, and no-fault-found cases Define and improve diagnostic methods, test plans, acceptance criteria, lab procedures, and data-collection standards. Design and maintain production-quality Python/Bash automation and reusable tools for bench testing, log analysis, test-station workflows, and trend detection. Lead complex investigations involving RF, memory, power, serial interfaces, Linux boot, GPS, and timing subsystems. Partner with Hardware, Firmware, Software, Manufacturing, and Customer Support to resolve issues and communicate evidence-based recommendations. Identify systemic trends across returned units, manufacturing data, and field reports; quantify recurrence, recommend preventive actions, track corrective actions through verification, and monitor results to ensure issues do not resurface. Lead power-on verification, subsystem qualification, Linux boot validation, and diagnostic readiness for new hardware revisions. Lead process improvements that reduce failure-analysis cycle time and no-fault-found rate, increase automation coverage, improve final unit dispositions, and create roadmaps for diagnostic capabilities and feature support. Mentor other engineers and contribute to technical standards, documentation, and team operating practices. What you'll be doing: Receive returned field units and develop an efficient investigation plan based on the reported symptoms and available evidence. Use oscilloscopes, logic analyzers, multimeters, serial consoles, network tools, and other lab equipment to validate hypotheses. Analyze embedded Linux logs, firmware behavior, telemetry, test output, and hardware measurements together rather than in isolation. Build focused experiments that distinguish intermittent, environmental, hardware, and software-related failure modes. Document findings so that another engineer can reproduce the reasoning, results, and recommended disposition. Represent HW QA in design reviews, failure reviews, bring-up planning, and cross-functional issue reviews. Evaluate and apply AI-assisted diagnostic tools where they improve investigation speed, consistency, or fleet-scale pattern recognition. What You'll Need: Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent. 9+ years of hands-on experience in hardware QA, failure analysis, embedded systems, electronics troubleshooting, or a comparable role; equivalent depth of experience is also considered. Demonstrated ownership of complex hardware investigations from symptom through root cause and corrective action, including proposing next steps, tracking action items, and verifying that fixes remain effective over time. Strong practical proficiency with lab equipment, including oscilloscopes, logic analyzers, multimeters, and serial/console tools. Ability to isolate hardware faults from firmware, software, configuration, and test-environment issues. Strong Python and/or Bash skills for automation, data extraction, log parsing, and diagnostic tooling. Experience working in embedded Linux environments and interpreting system, kernel, boot, and application logs. Experience developing test plans, defining acceptance criteria, improving QA or failure-analysis processes, and creating practical roadmaps for new diagnostic features and capabilities. Excellent technical writing, organization, and communication skills, including the ability to influence cross-functional decisions with evidence. Ability to work independently in ambiguous situations, prioritize competing investigations, and drive issues to closure. Preferred areas of expertise: Experience with RF or wireless systems, GPS/GNSS, timing, high-speed digital interfaces, memory, or power systems. Experience with new-board bring-up, subsystem qualification, automated test stations, or production test integration. Familiarity with hardware/software traceability, manufacturing data, RMA systems, and fleet-level quality metrics. Experience mentoring engineers or leading cross-functional technical projects without direct authority. Familiarity with automated test frameworks, CI pipelines, data visualization, or statistical failure analysis. How Success Is Measured Staff-level ownership of ambiguous, multi-component investigations from problem definition through verified corrective-action closure. Predictable delivery of 2-6 month diagnostic and process-improvement work, with risks, dependencies, deadlines, and documentation actively managed. Reduced failure-analysis cycle time, no-fault-found rate, recurring failures, and escapes, using baseline-to-target metrics. Production-quality automation and diagnostic methods adopted across the team, with increased coverage, reuse, and maintainability. Cross-functional HW/FW/SW/Manufacturing alignment on priorities, decisions, and corrective actions, with verified follow-through and monitoring. Technical leadership and mentoring that raise team-wide diagnostic quality, consistency, and ability to execute without a single-person bottleneck. Why This Role Own work that directly affects field quality, customer experience, and product reliability at scale Work across the full lifecycle-from returned units and manufacturing data to new-hardware bring-up and validation. Have broad technical influence without being limited to a single subsystem or test station. Build the automation and diagnostic capabilities that will shape how Tarana supports a rapidly growing fleet. Join a hands-on team where rigorous bench evidence leads directly to engineering action. Compensation and Benefits: What we offer: We don't just build next-gen wireless technology - we build people.

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: We are seeking a Hardware Production / Sustaining Engineer to strengthen Crusoe's Hardware Systems Engineering team and close critical skill gaps in debugging, validation, and production support of high-performance compute systems. In this role, you will take ownership of the full hardware lifecycle-from prototype bring-up to large-scale production-while driving automation, deep issue resolution, and reliability across Crusoe Cloud's GPU- and CPU-based infrastructure. You will work closely with cross-functional teams to support, debug, and improve hardware platforms at scale, with a particular focus on PCIe, InfiniBand, and NVMe/storage, which have been identified as essential areas for deeper expertise. Your work will directly impact Crusoe's ability to deploy and operate sustainable, AI-first compute systems with world-class performance and reliability. What You'll Be Working On: Drive the full hardware development and sustaining lifecycle, including feasibility, bring-up, validation, deployment, and ongoing production support. Develop and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability improvements. Lead deep troubleshooting and debugging across: PCIe (link training, topology, performance issues) InfiniBand (fabric debugging, throughput, connectivity issues) NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) Conduct rigorous system validation and characterization for GPU, CPU, and high-performance compute platforms. Support E2E integration and solution testing to ensure Crusoe Cloud products meet performance, reliability, and scalability expectations. Collaborate with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level issues and enable stable production operation. Drive prototyping, qualification, and readiness for high-volume manufacturing with both internal teams and external vendors. Identify opportunities for new hardware technologies, testing methods, and sustainability improvements aligned with Crusoe's long-term objectives. Provide data-driven insights to influence Crusoe's hardware roadmap and reliability strategy. What You'll Bring to the Team: 8-10+ years of experience in hardware development, validation, sustaining engineering, or production engineering. Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development. Deep proficiency in hardware bring-up, board-level debugging, and system-level validation. Ability to design and implement automation frameworks for hardware testing (Python, Shell, or similar). Technical background in digital and analog design, server architecture, and high-performance compute hardware. Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments. Strong analytical and problem-solving skills with a data-driven approach. Excellent communication and collaboration skills for working with internal teams and external partners. Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience. Bonus Points: Experience designing or optimizing GPU-to-GPU communication architectures for AI/ML workloads. Direct experience integrating NVLink or other next-generation GPU interconnect technologies. Familiarity with cutting-edge GPU architectures and how to leverage them in AI/HPC environments. Expertise supporting or designing systems across both ARM and x86 server architectures. Background in sustainable or energy-efficient hardware design practices. Advanced certifications or coursework in AI/HPC hardware systems. Compensation Range: Compensation will be paid in the range of $215,000 - $260,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description About Voltai Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits. About the Team Backed by Silicon Valley's top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents. About this Role You'll collaborate with customers and partners to integrate Voltai's hardware and design systems into their workflows. You'll provide deep technical support, debug complex issues across software and hardware boundaries, and translate customer requirements into feedback for design and product teams. You might thrive if you have 5+ years of experience in Hardware design , simulation , or EDA tools Customer support , debug , and design validation Schematic review , board-level analysis , and failure investigation Communicating complex technical concepts clearly and concisely

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: We are seeking a Hardware Production / Sustaining Engineer to strengthen Crusoe's Hardware Systems Engineering team and close critical skill gaps in debugging, validation, and production support of high-performance compute systems. In this role, you will take ownership of the full hardware lifecycle-from prototype bring-up to large-scale production-while driving automation, deep issue resolution, and reliability across Crusoe Cloud's GPU- and CPU-based infrastructure. You will work closely with cross-functional teams to support, debug, and improve hardware platforms at scale, with a particular focus on PCIe, InfiniBand, and NVMe/storage, which have been identified as essential areas for deeper expertise. Your work will directly impact Crusoe's ability to deploy and operate sustainable, AI-first compute systems with world-class performance and reliability. What You'll Be Working On: Drive the full hardware development and sustaining lifecycle, including feasibility, bring-up, validation, deployment, and ongoing production support. Develop and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability improvements. Lead deep troubleshooting and debugging across: PCIe (link training, topology, performance issues) InfiniBand (fabric debugging, throughput, connectivity issues) NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) Conduct rigorous system validation and characterization for GPU, CPU, and high-performance compute platforms. Support E2E integration and solution testing to ensure Crusoe Cloud products meet performance, reliability, and scalability expectations. Collaborate with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level issues and enable stable production operation. Drive prototyping, qualification, and readiness for high-volume manufacturing with both internal teams and external vendors. Identify opportunities for new hardware technologies, testing methods, and sustainability improvements aligned with Crusoe's long-term objectives. Provide data-driven insights to influence Crusoe's hardware roadmap and reliability strategy. What You'll Bring to the Team: 4-8 years of experience in hardware development, validation, sustaining engineering, or production engineering. Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development. Deep proficiency in hardware bring-up, board-level debugging, and system-level validation. Ability to design and implement automation frameworks for hardware testing (Python, Shell, or similar). Technical background in digital and analog design, server architecture, and high-performance compute hardware. Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments. Strong analytical and problem-solving skills with a data-driven approach. Excellent communication and collaboration skills for working with internal teams and external partners. Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience. Bonus Points: Experience designing or optimizing GPU-to-GPU communication architectures for AI/ML workloads. Direct experience integrating NVLink or other next-generation GPU interconnect technologies. Familiarity with cutting-edge GPU architectures and how to leverage them in AI/HPC environments. Expertise supporting or designing systems across both ARM and x86 server architectures. Background in sustainable or energy-efficient hardware design practices. Advanced certifications or coursework in AI/HPC hardware systems. Compensation Range: Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description About Arycs Technologies Arycs delivers power-efficient, coherent-class optical connectivity based on silicon photonics, coherent DSP, and advanced optical architectures. Our solutions provide industry-leading bandwidth per watt, deterministic performance, and flexible network evolution for AI, cloud, telecom, and edge infrastructure. Designed for real-world deployment, Arycs Technologies enables networks to scale with growing AI demand without disruptive redesign or hardware replacement. Role Overview The Production Test Engineer serves as Arycs' production test engineering expert, bridging R&D and manufacturing to ensure advanced optical modules meet performance, quality, and reliability requirements. This role designs and deploys scalable test systems, automates production test processes, analyzes yield and cycle-time data, and supports the transition from pilot builds to high-volume manufacturing. Key Responsibilities Design and implement production test infrastructure: Develop and deploy production test setups for optical transceivers, including electrical and optical testing at wafer, module, and final assembly levels. Automate and scale test processes: Create and maintain test automation scripts using tools such as Python and NI TestStand, scaling from engineering builds to volume manufacturing. Analyze and optimize production performance: Use test data, SPC, process capability studies, and failure trend analysis to improve yield, reduce cycle time, and eliminate production bottlenecks. Lead debug and root-cause investigations: Drive hands-on troubleshooting for test failures and collaborate with hardware, photonics, and electrical engineering teams to resolve component- and system-level issues. Support NPI-to-production transition: Work closely with design, reliability, and operations teams to ensure smooth product transfer into manufacturing and provide input on design-for-test requirements. Qualifications Bachelor's or Master's degree in Electrical Engineering, Optical Engineering, Physics, or a related technical discipline. 5+ years of hands-on experience in optical module testing, preferably in a high-speed transceiver, coherent optics, or photonics-focused environment. Strong understanding of optical components and systems, including lasers, modulators, photodiodes, transceivers, and high-speed interconnects. Proficiency with optical and electrical test equipment such as BERTs, optical spectrum analyzers, power meters, tunable lasers, and high-speed oscilloscopes. Strong scripting and automation skills, particularly in Python; NI TestStand experience is a plus. Proven ability to bring up test systems in fast-paced, resource-constrained environments. Startup-ready mindset with a proactive, collaborative approach and comfort operating through ambiguity. Preferred experience with coherent optics, integrated photonics, silicon photonics, contract manufacturing, overseas production ramp-up, or previous startup environments. Benefits & Perks Competitive compensation and incentive plan 401(k) plan with 3% company matching contributions Robust medical, dental, and vision benefits that promote your health and wellness Flexible Paid Time Off (PTO) policy to support work-life balance Flexible work environment Opportunity to make a meaningful impact in a growing organization High visibility across the company with exposure to executive leadership Collaborative, innovative, and execution-focused culture Powered by JazzHR fK9alglnN3

Job Description Job Description About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right. Key Responsibilities Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews. Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions. Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift. Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput. Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred. Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms. Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling. Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking. Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes. Minimum Qualifications BS in Electrical Engineering, Mechanical Engineering, Physics, or related, and 3 or more years of hands-on sensor and engineering experience. Test automation, scripting, and data analysis experience. Field of view and coverage analysis experience, including geometric modeling of sensor placement on a vehicle or robot. Experience with at least two of camera, lidar, radar, or INS/GNSS. Strong grasp of the underlying physics: optics and photometry, lidar range equation and reflectivity, radar RCS and antenna patterns, inertial error models and GNSS/INS fusion behavior. Proven cross-functional collaboration with autonomy, perception, software, and hardware teams. Fluent in Python for test automation and data analysis. Comfortable on a vehicle and in the shop Experience writing test reports and procedures someone else can execute. Preferred Qualifications Prior experience at an AV, robotaxi, autonomous trucking, or ADAS program at an OEM or Tier 1. Commissioned sensor suites across multiple vehicle builds or program phases. Took a sensor from evaluation through supplier qualification onto a production vehicle. Heavy-duty truck or large articulated platform experience. Working knowledge of, GMSL, Automotive Ethernet, CAN/CAN FD, and PTP. Sensor modeling or simulation for placement trade studies. Exposure to functional safety and SOTIF as applied to sensor performance and degradation. Compensation Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. We also offer competitive equity compensation and benefits. As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Company Description You'll collaborate with teams around the world, mentor rising talent, and participate in global forums. SAP's growth culture gives you the autonomy to explore new methods and the support to scale your impact internationally. Job Description You'll architect end-to-end solutions that unlock new product capabilities and operational efficiencies. You'll drive roadmap decisions with evidence, lead complex analyses, and ensure models are interpretable, reliable, and aligned to business outcomes. Your insights will influence strategy across functions. Summary SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team's mission is to develop Foundation Models for structured data. We will start by launching and continuously improving SAP-RPT-1, the first version of our relational model portfolio. This is part of our commitment to lead research in a field where SAP's expertise in enterprise data provides us with a solid competitive advantage. As a Senior AI Researcher, you will improve Relational Foundation Models (RFMs). These models are general-purpose. They learn, reason, and make predictions from complex, multi-table enterprise data. They operate without the need for manual feature engineering or task-specific pipelines. Your work will span fundamental research and scalable system development, from initial hypothesis through production-ready methods that operate over real enterprise databases. We are looking for innovators ready to bridge the gap between cutting-edge AI research and the complex, structured reality of global enterprise data. What You'll Do Lead original research into Relational Foundation Models. These models are architectures that learn from many multi-table enterprise databases. They can also adjust to different schemas and prediction tasks. Design and develop novel model architectures, pretraining strategies, learning objectives, and inference methods for relational and structured data. Run large-scale distributed GPU experiments; build rigorous baselines, ablation studies, and evaluation benchmarks. Contribute to datasets, synthetic data generators, and evaluation frameworks for relational learning. Translate research findings into scalable prototypes ready for integration with engineering and product teams. Mentor researchers and engineers and provide technical leadership on research projects. Publish at top-tier venues (NeurIPS, ICML, ICLR, KDD, or equivalent) and contribute to the broader AI research community. Stay current with the latest advances in foundation models, tabular learning, graph learning, and large-scale machine learning. What You Bring Required PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a closely related field - or equivalent demonstrated research experience. Strong publication record at leading venues such as NeurIPS, ICML, ICLR, KDD, AAAI, or AISTATS. You should have deep expertise in modern foundation-model techniques. This includes Transformer architectures and attention mechanisms. It also includes large-scale pretraining, in-context learning, and transfer learning. Hands-on experience in at least one of: tabular machine learning, graph neural networks, relational learning, or structured prediction. Excellent Python and PyTorch skills with the ability to independently implement, debug, and evaluate research ideas end-to-end. Rigorous experimental practice: strong baselines, controlled ablations, honest failure analysis, and awareness of data leakage and evaluation artifacts. Ability to operate with substantial research independence - from identifying problems through validated results. Preferred Experience with relational deep learning, graph neural networks, or heterogeneous graph learning. In-context learning is not limited to natural-language tasks. It also covers meta-learning and amortized Bayesian inference. Create synthetic data for model pretraining. Conduct large-scale pretraining with several datasets. Knowledge with relational database systems, SQL, or data-warehouse architectures. Distributed training and large-scale GPU experimentation. Benchmark development or contributions to open-source machine learning libraries. Meet the Team SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging the gap between cutting-edge AI research and the complex, structured reality of global enterprise data. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Qualifications architectural thinking and hands-on coding skills. You design secure, scalable systems, reason about data structures and APIs, and use observability, CI/CD and automated testing to ship safely and fast. You can dive deep on performance tuning, apply secure-by-default patterns, and mentor others in writing clean, maintainable code. Additional Information All your information will be kept confidential according to EEO guidelines. About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people's lives. As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Compensation Range Transparency SAP believes pay transparency is essential to fostering an honest, supportive, and inclusive culture and is an important part of our commitment to pay equity. The salary range for this position is included in the job posting. The actual compensation offered to the successful candidate will fall within that range and will depend on factors such as education, skills, experience, location, and scope of the role, as determined through the selection process. Where applicable, SAP may also provide variable incentive opportunities and additional benefits, subject to the terms of the relevant plans and policies. Any variable incentive amount is target-based, with actual payouts dependent on company and individual performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.

Job Description Job Description Failure Analysis Engineer (FAE) Location: San Jose/Sunnyvale (EDP II) Business Unit: CESBG Job Classification: Exempt Summary As a Failure Analysis Engineer (FAE), you will troubleshoot and perform failure analysis on motherboards, GPU computing cards, and servers. You will identify root causes, analyze customer - reported issues, document findings, and collaborate with cross - functional teams to resolve product issues and improve system performance, stability, and reliability. Key Responsibilities Conduct failure analysis and repairs for products such as motherboards, GPU computing cards, and servers. Analyze customer complaint issues and provide detailed solutions. Perform root cause analysis on defects, deliver feedback, and prepare comprehensive reports. Identify, document, and track bugs and issues, and work with development teams to resolve them. Monitor server performance and stability during testing. Analyze test results and provide detailed reports on server performance and issues. Work closely with software developers, system administrators, and other stakeholders to ensure seamless integration and functionality of server systems. Participate in design reviews and provide feedback on system architecture and design. Maintain detailed documentation of test procedures, results, and any issues encountered. Create and update user manuals and technical documentation as needed. Collaborate with cross - functional teams for comprehensive test plans and test cases for server systems. Basic Qualifications Self-motivated with a strong desire to learn and adapt to new technologies and processes. A strong customer service and satisfaction mindset. Flexibility and the ability to work effectively in a dynamic, high-pressure manufacturing environment. Strong commitment to meeting deadlines and achieving production goals. Strong analytical and problem-solving skills. Experience in handling electronic products or related hardware is a plus. Excellent communication skills for collaboration with cross-functional teams and reporting findings. Fluent in English; proficiency in Mandarin is a plus but not required. Helpful to have familiarity with Linux/Unix/Python. Must be able to lift up to 50lbs. Education and Experience Bachelor's degree in Electrical & Computer Engineering, Computer Science or related study. Ideal to have minimum 3 years of experience with system level test in manufacturing test environments in terms of architecture/design, execution, data collection, analysis, correlations. Why Join Us Comprehensive benefits package including medical, dental, and vision insurance coverage. Basic life insurance and short-term disability coverage provided by employer. Supplemental life insurance and long-term disability coverage options available. 401K with employer contribution. Personal, Vacation, and Holiday paid time off for all full-time employees. Pay Range : $90,000 - $125,000 Our company is an Equal Opportunity Employer (EOE). All qualified candidates will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or marital status in accordance with applicable federal, state and local laws. Our company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Powered by JazzHR WVJUuPAzTB