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Job Description Job Description Hi, Greetings I am Lokesh from SRI Tech Solutions. Regarding below Job requirement. Kindly have a look at it and please revert me with your updated resume if interested. Role: Data Center Technical lead Location: 5000 Like Way, Fort Worth, TX 76177 Duration: 6 months (Might extend) What You'll Own A team of 4-8 technicians executing terminal deployments, transponder installs, optical migrations, and cross-connects The execution plan for every project at your site - from kickoff through QC completion Site-level quality: Right First-Time rate, audit pass rate, workmanship standards SLA performance at your site - projects delivered within contractual timeframes Technical problem resolution: you are the first and primary escalation point when work stalls Key Responsibilities Planning & Execution (40%) Plan project execution: cable runs, material pathways, labor allocation, sequencing Develop and maintain project execution timelines aligned to SLA targets Validate Engineering Deployment Plans (EDPs) and Bills of Material (BOMs) before work begins Estimate labor hours for projects and limited assignments Identify dependencies, blockers, and critical path items BEFORE they become problems Make real-time execution decisions within project scope without waiting for OM approval Coordinate with Meta DCPMs, network engineers, and cross-functional partners at site level Technical Leadership & Problem Solving (25%) Serve as the primary technical escalation point for all L1 and L2 issues at your site Troubleshoot complex Layer 1 fiber and copper issues that exceed L2 capability Conduct root-cause analysis on failed audits, rework items, and installation defects Validate cable paths, patch schedules, port maps, and rack diagrams for accuracy Authorize material substitutions per approved equivalents Resolve BOM discrepancies, EDP conflicts, and material shortages through field engineering judgment Make technical go/no-go decisions for project phases (field installation, audit, QC) People Development & Site Leadership (20%) Assign daily work to technicians based on skill level, project priority, and SLA position Coach and mentor L1 and L2 technicians through on-the-job training and constructive feedback Conduct informal skill assessments - identify who is ready to advance and who needs support Enforce productivity, quality, and safety standards consistently Hold team members accountable for workmanship, timeliness, and professional conduct Build a team culture of ownership: we don't leave problems for the next person Serve as technical buddy/mentor for new hires during their first 2 weeks on site Quality & Compliance (10%) Conduct pre-QC inspections on ALL installations before customer audit - catch issues before they are found Own Right First Time at your site: if QC finds defects, that is your accountability Write and maintain Point-to-Point (PTP) documentation, ladder safety forms, and technical progress reports Verify completed work against EDP specifications, cable schedules, and port maps Ensure all work meets Meta Division 27 installation standards and dressing requirements Communication & Reporting (5%) Report daily/weekly progress to Operations Manager: what is done, what is blocked, what is next Escalate blockers proactively WITH recommendations (not just flags) Participate in project kickoffs Interface professionally with Meta site contacts (DCPMs, engineers, NOC technicians) Represent client competence and professionalism in all customer-facing interactions Provide timely, accurate progress updates suitable for executive-level consumption when required Required Qualifications Experience 5+ years in structured cabling, fiber optic installation, or data center infrastructure deployment 2+ years in a lead, foreman, or supervisory role directing crews of 3+ technicians Demonstrated experience planning and executing Division 27 installation projects from design to completion Experience reading and interpreting engineering drawings, cable schedules, rack diagrams, and port maps Technical Skills Expert-level fiber optic termination, testing, and troubleshooting (single-mode and multi-mode) Proficient with: VFL, OTDR, optical power meter, fiber scope, Cat6 tester, LC/MTP-12/MTP-24 connectors, IR card, OneClick and Cletop cleaners Effective Layer 1 troubleshooting methodology - can isolate and resolve connectivity issues systematically Knowledge of SLA structures and prioritization logic Proficiency in productivity tools: Excel/Sheets, Word/Docs, project tracking software Leadership & Communication Strong written and verbal communication - can produce professional progress reports, escalation summaries, and client-facing updates Demonstrated ability to coach and develop junior team members (not just direct them) Comfortable representing the team in meetings with client representatives Professional demeanor: composed under pressure, solutions-oriented, accountable Other Requirements Pass customer background verification (BGV) Willing and able to travel domestically to other ENSD sites (up to 25% travel) Meet physical requirements: regularly carry 20 lbs, lift 50 lbs, work from ladders, move frequently between work areas Thanks & Regards, Nagavamsapu Lokesh US IT Recruiter SRI Tech Solutions

Job Description Job Description Description: Company Description: ASG is a Minority- and Woman-Owned, Physician-Owned small business with over 15 years of experience in federal government contracting. We deliver a wide range of technology services, including software development, mobile apps, AI/ML, analytics, data science, big data, DevSecOps, digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified and holds ISO 9001:2015, 20000-1:2018, and 27001:2022 certifications . Job Description: ASG is seeking an experienced Security Lead to own the Program security posture, compliance artifacts, and coordination with Program Security Oversight leadership. This role shares leadership of the security team with a Co-Lead and directs the work of the Information Security Specialist team, ensuring compliance documentation, vulnerability management, and ATO artifacts are complete, current, and defensible in a complex federal healthcare IT environment. The ideal candidate brings deep federal cybersecurity experience, a track record of leading security teams, and the judgment to represent the program's security posture to executive and government stakeholders. What You Will Do: Own Task 3 security management deliverables, including compliance documentation, risk register maintenance, and coordination with the Program Security Oversight Leader. Direct and coordinate the Information Security Specialist team, including workload distribution and quality oversight of security deliverables, alongside the Sr. Information Security Specialist (Co-Lead). Support Authorization to Operate (ATO) maintenance, continuous Assessment & Authorization (A&A) activities, and FISMA/FedRAMP compliance documentation for Client-managed systems. Author and review security documentation, including System Security Plans (SSPs), Risk Assessments, and Security Impact Analyses (SIA), prior to submission to Program Security Oversight leadership. Oversee vulnerability scanning, remediation tracking, and security findings reporting across enterprise tools; review results and recommended corrective actions from the Information Security Specialist team. Serve as the primary security point of contact with Program Security Oversight Leadership, and maintain collaborative relationships with federal ISSOs, CSPs (e.g., AWS, Azure), system owners, and vendors. Coordinate with the Tools Management team through the combined Security/Tools scrum cadence. Track and maintain the centralized Security Risk Register, map vulnerabilities to POA&Ms, and support FISMA/FedRAMP compliance efforts across the program. Provide guidance and privacy/security insight to Agile teams across projects, and support Privacy and Security Compliance through all stages of the systems development lifecycle (SDLC). Work within Client system repositories such as CFACTS and BOX. Oversee declared game day events, ensuring after-action reports and other required game day artifacts are completed by the security team. Develop and maintain standard operating procedures (SOPs) for repeatable security processes across the team. Perform additional duties as assigned by the Program Security Oversight Leader. Perform additional duties assigned. Requirements: What We Need : Bachelor's degree or higher in Computer Science, Information Technology, Cybersecurity, Systems Engineering, or a related field (or equivalent professional experience). 8+ years of information security experience in a federal or enterprise environment, including team leadership. Experience with FISMA compliance, ATO processes, and continuous Assessment & Authorization (A working understanding of NIST 800-53/37. Experience co-leading or managing a multi-person security team, including workload distribution and quality oversight of deliverables. Working knowledge of vulnerability scanning and compliance/POA&M platforms, Jira, Confluence, and FISMA/ATO documentation standards and processes. Ability to obtain and maintain Program EUA access and required Public Trust clearance. Strong communication skills and ability to coordinate across multi-disciplinary teams and government stakeholders. Even Better: Prior Program or HHS security program experience strongly preferred. Relevant security certification (CISSP, CISM, CEH, CCNA Security, or Security+). Familiarity with federal control tracking systems (e.g., CFACTS and BOX). Working knowledge of cloud environments (AWS, Azure) and associated security controls. Exposure to pen testing, application security, and CDN security services (e.g., Akamai). Experience providing security and privacy input within Agile development environments. Knowledge about emerging industry or technology trends such as Artificial Intelligence (AI) frameworks. Clearance Requirement: Ability to obtain and maintain public trust background investigation/clearance per client requirements. Additional Information: At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to . We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks: At ASG, we want you to be well and thrive. Our benefits package includes: Healthcare Benefits Life Disability Paid Time Off 401k Matching Employee Referral Bonus Education Assistance Learning and Development resources EOE, including Disability/Veterans

Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain SEC Public Trust (or higher if required) Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Technical Skills: AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: Palo Alto Firewall Engineer Location: Springfield, VA Type: Contract To Hire Compensation: $80/hr. W2 Benefits available Conversion Salary: $150,000 annually plus benefits Work Model: Onsite Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph Responsibilities Lead the design, requirements analysis, testing, integration, and implementation of secure network architectures centered on the Palo Alto Networks ecosystem. Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto Networks Next-Generation Firewalls (NGFWs) across a hybrid enterprise environment. Engineer and implement solutions for customer Change Requests (CRQs); assess impacts on enterprise transport and security activities and provide technically sound recommendations. Serve as the technical representative for assigned projects and coordinate issues with the appropriate owners, organizations, contract leadership, and customer leadership. Manage the full lifecycle of Palo Alto hardware and software, including complex hardware refreshes, PAN-OS upgrades, legacy-platform sustainment, physical troubleshooting, and line-card replacements. Develop, oversee, and maintain configuration-management processes, network architecture diagrams, technical documentation, integration and test plans, and Standard Operating Procedures (SOPs) for Palo Alto security platforms. Use Panorama for centralized policy management, including templates, device groups, inheritance, and consistent configuration across a diverse fleet of physical and virtual firewalls. Configure and maintain advanced security capabilities and profiles, including App-ID, User-ID, Content-ID, SSL Decryption, WildFire, NAT, IPSec VPNs, and threat prevention. Oversee security-incident reporting, documentation, investigation, and corrective-action development. Act as a liaison to contract/customer management and the government Designated Approving Authority (DAA) regarding network-security status, policies, procedures, and risks. Evaluate and report on new and emerging network-security and communications technologies to improve network capacity, performance, reliability, standardization, and security. Provide mentorship and technical oversight to junior engineers and serve as an escalation point for complex troubleshooting. Follow all customer network-security processes and procedures, maintain compliance with Government and QA standards, and ensure service-performance indicators are met or exceeded. Requirements Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph. A minimum of 7+ years of hands-on experience administering, configuring, and troubleshooting Palo Alto Networks NGFWs in large-scale enterprise/global environments. Active Palo Alto Networks Certified Network Security Engineer (PCNSE) certification. DoD 8140.01 and DoD 8570.01-M IAT Level II compliance (for example, Security+ CE). Ability to obtain and maintain a CSSP Infrastructure Support certification within 120 days of the start date. Deep practical knowledge of legacy Gen 2/Gen 3 Palo Alto hardware, including PA-3000 and PA-5000 series platforms, legacy CLI, hardware troubleshooting, and line-card replacements. Experience deploying and managing modern PAN-OS architectures, including Prisma Access (SASE), Prisma SD-WAN, and VM-Series virtual firewalls in cloud environments such as AWS, Azure, GCP, or private-cloud. Proven expertise with Panorama for centralized policy management, template/device-group inheritance, and configuration deployment across a hybrid firewall fleet. Advanced understanding of BGP, OSPF, IPSec VPNs, NAT, TLS/SSL, mutual TLS (mTLS), HTTP, SAML, OAuth, OCSP revocation, DoD PKI, Kerberos, LDAP, and Active Directory. Experience with F5 technologies, including APM, AFM, and SSL Orchestrator (SSLO), and troubleshooting TLS/SSL handshake/connection issues. Strong network design, engineering, implementation, and troubleshooting skills, including ROM equipment lists and cost estimates. Knowledge of DISA and Intelligence Community security standards and requirements. Excellent interpersonal skills and technical judgment with the ability to work independently and support weekend/evening work if needed. Bachelor's degree in IT, Cybersecurity, Computer Science, or a related field, with additional relevant experience considered in lieu of a degree. Desired Qualifications Active Palo Alto Networks Certified Network Security Consultant (PCNSC) or Prisma Certified SASE Professional (PCSAE). F5 Networks Certified Technology Specialist (CTS). Cisco CCNP, CCVP, CCNA, CCDP, or equivalent. ITIL v3 Foundations and/or ISC2 CISSP Certification. Proficiency in Python and automation tools such as Ansible, Terraform, or Palo Alto XML/REST APIs. Hands-on experience with Cortex XDR or Cortex XSOAR. Experience with Palo Alto Networks Expedition for migration and rule consolidation. Knowledge of Zero Trust Network Access (ZTNA) architectures and additional security platforms (e.g., Juniper SRX, Cisco FTD/ASA). Master's degree in related fields is a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Baltimore

Job Description Job Description Palo Alto Firewall Engineer / SME (PCNSE) Cyber Security Engineering Specialist III - Firewall Services Location: Springfield, VA - on site Time Type: Full time, Exempt Clearance Required to Start: Active TS/SCI (U.S. citizenship required) Additional Requirement: Must be able to obtain and maintain a U.S. Government polygraph Travel: Up to 15%, local and CONUS Salary Range: $117,000 - $128,000 Own the Palo Alto estate - legacy iron through Prisma and Panorama. RISA is hiring a Palo Alto SME to be the focal point for every Palo Alto task, operation, and project on the Network Security Services team supporting an Intelligence Community customer. The work spans both ends of the estate: PA-3000 and PA-5000 hardware refreshes and legacy CLI on one side, Prisma Access, VM-Series, and Cortex on the other. You will talk to the owner here, not a recruiting queue. What You Will Do Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto NGFWs across a hybrid enterprise. Lead the design, analysis, testing, and implementation of secure network architectures on the Palo Alto stack. Manage the full hardware and software lifecycle, including complex refreshes and PAN-OS upgrades on legacy platforms. Run Panorama for centralized policy management across a fleet of physical and virtual firewalls. Configure master-level security profiles - App-ID, User-ID, Content-ID, SSL Decryption, and WildFire. Own configuration management processes and SOPs for all Palo Alto platforms. Mentor junior engineers and act as the escalation point for complex troubleshooting. Liaise with contract, customer, and government DAA on network security status, policies, and procedures. What You'll Bring S. citizenship and an active TS/SCI. Ability to successfully obtain and maintain a U.S. Government polygraph. Education and experience, per the contract labor category criteria: Bachelor's degree in a field applicable to the position plus 6 years of relevant experience. Equivalents accepted - Master's plus 4, Associate's plus 8, or High School diploma/GED plus 10. 7+ years hands-on administering, configuring, and troubleshooting Palo Alto NGFWs in large-scale enterprise or global environments. Active PCNSE certification. DoD 8140.01 and 8570.01-M IAT Level II (e.g. Security+ CE), and CSSP Infrastructure Support within 120 days of start. Deep practical knowledge of legacy Gen 2/Gen 3 hardware - PA-3000 and PA-5000 series, legacy CLI, physical troubleshooting, line-card replacement. Prisma Access (SASE), Prisma SD-WAN, and VM-Series in AWS, Azure, or GCP. Panorama template and device-group inheritance across a hybrid fleet. Advanced BGP, OSPF, IPSec VPN, and NAT. Nice to Have PCNSC or Prisma Certified SASE Professional (PCSAE). Python, plus firewall automation with Ansible, Terraform, or the Palo Alto XML/REST APIs. Cortex XDR or XSOAR; Expedition for legacy rule migration to App-ID policy. Zero Trust Network Access architecture; F5 (APM, AFM), Juniper SRX, or Cisco FTD/ASA. About RISA Rolston Information Systems Assurance (RISA) is a Service-Disabled Veteran-Owned Small Business that has supported federal defense and intelligence cybersecurity missions for more than seventeen years. We are small on purpose: direct access to leadership, a real say in how the work gets done, and none of the layers that slow large primes down. Benefits Medical, dental, and vision insurance; 401(k) and Roth; Paid Time Off; and 11 paid Federal Holidays. RISA is an Equal Opportunity Employer. Upon receiving an offer of employment, all applicants will be required to do a background check, including a criminal record check and employment/education verification.

Job Description Job Description Hi, Greetings I am Lokesh from SRI Tech Solutions. Regarding below Job requirement. Kindly have a look at it and please revert me with your updated resume if interested. Role: Data Center Technical lead Location: 5000 Like Way, Fort Worth, TX 76177 Duration: 6 months (Might extend) What You'll Own A team of 4-8 technicians executing terminal deployments, transponder installs, optical migrations, and cross-connects The execution plan for every project at your site - from kickoff through QC completion Site-level quality: Right First-Time rate, audit pass rate, workmanship standards SLA performance at your site - projects delivered within contractual timeframes Technical problem resolution: you are the first and primary escalation point when work stalls Key Responsibilities Planning & Execution (40%) Plan project execution: cable runs, material pathways, labor allocation, sequencing Develop and maintain project execution timelines aligned to SLA targets Validate Engineering Deployment Plans (EDPs) and Bills of Material (BOMs) before work begins Estimate labor hours for projects and limited assignments Identify dependencies, blockers, and critical path items BEFORE they become problems Make real-time execution decisions within project scope without waiting for OM approval Coordinate with Meta DCPMs, network engineers, and cross-functional partners at site level Technical Leadership & Problem Solving (25%) Serve as the primary technical escalation point for all L1 and L2 issues at your site Troubleshoot complex Layer 1 fiber and copper issues that exceed L2 capability Conduct root-cause analysis on failed audits, rework items, and installation defects Validate cable paths, patch schedules, port maps, and rack diagrams for accuracy Authorize material substitutions per approved equivalents Resolve BOM discrepancies, EDP conflicts, and material shortages through field engineering judgment Make technical go/no-go decisions for project phases (field installation, audit, QC) People Development & Site Leadership (20%) Assign daily work to technicians based on skill level, project priority, and SLA position Coach and mentor L1 and L2 technicians through on-the-job training and constructive feedback Conduct informal skill assessments - identify who is ready to advance and who needs support Enforce productivity, quality, and safety standards consistently Hold team members accountable for workmanship, timeliness, and professional conduct Build a team culture of ownership: we don't leave problems for the next person Serve as technical buddy/mentor for new hires during their first 2 weeks on site Quality & Compliance (10%) Conduct pre-QC inspections on ALL installations before customer audit - catch issues before they are found Own Right First Time at your site: if QC finds defects, that is your accountability Write and maintain Point-to-Point (PTP) documentation, ladder safety forms, and technical progress reports Verify completed work against EDP specifications, cable schedules, and port maps Ensure all work meets Meta Division 27 installation standards and dressing requirements Communication & Reporting (5%) Report daily/weekly progress to Operations Manager: what is done, what is blocked, what is next Escalate blockers proactively WITH recommendations (not just flags) Participate in project kickoffs Interface professionally with Meta site contacts (DCPMs, engineers, NOC technicians) Represent client competence and professionalism in all customer-facing interactions Provide timely, accurate progress updates suitable for executive-level consumption when required Required Qualifications Experience 5+ years in structured cabling, fiber optic installation, or data center infrastructure deployment 2+ years in a lead, foreman, or supervisory role directing crews of 3+ technicians Demonstrated experience planning and executing Division 27 installation projects from design to completion Experience reading and interpreting engineering drawings, cable schedules, rack diagrams, and port maps Technical Skills Expert-level fiber optic termination, testing, and troubleshooting (single-mode and multi-mode) Proficient with: VFL, OTDR, optical power meter, fiber scope, Cat6 tester, LC/MTP-12/MTP-24 connectors, IR card, OneClick and Cletop cleaners Effective Layer 1 troubleshooting methodology - can isolate and resolve connectivity issues systematically Knowledge of SLA structures and prioritization logic Proficiency in productivity tools: Excel/Sheets, Word/Docs, project tracking software Leadership & Communication Strong written and verbal communication - can produce professional progress reports, escalation summaries, and client-facing updates Demonstrated ability to coach and develop junior team members (not just direct them) Comfortable representing the team in meetings with client representatives Professional demeanor: composed under pressure, solutions-oriented, accountable Other Requirements Pass customer background verification (BGV) Willing and able to travel domestically to other ENSD sites (up to 25% travel) Meet physical requirements: regularly carry 20 lbs, lift 50 lbs, work from ladders, move frequently between work areas Thanks & Regards, Nagavamsapu Lokesh US IT Recruiter SRI Tech Solutions

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: The Tiger Team, Technical Deployment Lead, will support the expansion of our Data Centers across the U.S and Canada. The Technician must work well with others and will help ensure overall availability and reliability to meet or exceed the defined service levels of the hybrid travel data center operations. This position involves infrastructure delivery on all CoreWeave data centers, training on-site teams, and hardware and network diagnostics. This is a 100% onsite role at one of our West coast region U.S. data centers , with up to 60% of travel required on a rotational basis. What You'll Do: Nationwide travel to data centers to build and deploy new and ongoing sites Implementation and documentation of a global data center standard Troubleshoot hardware and networks Root cause analysis of hardware and software failures Train internal teams Perform on-site audits through our set QA/QC process Provide technical support to global data center teams Develop tools and scripts to update server and networking hardware Perform maintenance of test and tools equipment Follow-up project support Who You Are: You are a skilled and motivated technician with the ability to influence others who thrives in a fast-paced, hands-on environment. You are passionate about technology and possess the following qualifications: You have hands-on experience troubleshooting and assembling computer hardware. You are proficient with the Linux operating system. You possess a comprehensive knowledge of data center cut sheets and technical documentation. You have a strong understanding of best practices for cable management and hardware orientation. You are an effective communicator who collaborates seamlessly with network engineers and project managers. You excel at time management and take full ownership of your projects to meet demanding deadlines. You are flexible, with the ability to travel and work in a 24/7 operational environment. You can lift up to 50 lbs and are comfortable working in elevated locations. (All physical requirements are subject to reasonable accommodations.) The base salary range for this role is $90,000 to $102,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 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, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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: The Tiger Team, Technical Deployment Lead, will support the expansion of our Data Centers across the U.S and Canada. The Technician must work well with others and will help ensure overall availability and reliability to meet or exceed the defined service levels of the hybrid travel data center operations. This position involves infrastructure delivery on all CoreWeave data centers, training on-site teams, and hardware and network diagnostics. This is a 100% on-site role at one of our Central region, U.S. data centers , with up to 60% of travel required on a rotational basis. What You'll Do: Nationwide travel to data centers to build and deploy new and ongoing sites Implementation and documentation of a global data center standard Troubleshoot hardware and networks Root cause analysis of hardware and software failures Train internal teams Perform on-site audits through our set QA/QC process Provide technical support to global data center teams Develop tools and scripts to update server and networking hardware Perform maintenance of test and tools equipment Follow-up project support Who You Are: You are a skilled and motivated technician with the ability to influence others who thrives in a fast-paced, hands-on environment. You are passionate about technology and possess the following qualifications: You have hands-on experience troubleshooting and assembling computer hardware. You are proficient with the Linux operating system. You possess a comprehensive knowledge of data center cut sheets and technical documentation. You have a strong understanding of best practices for cable management and hardware orientation. You are an effective communicator who collaborates seamlessly with network engineers and project managers. You excel at time management and take full ownership of your projects to meet demanding deadlines. You are flexible, with the ability to travel and work in a 24/7 operational environment. You can lift up to 50 lbs and are comfortable working in elevated locations. (All physical requirements are subject to reasonable accommodations.) Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $90,000 to $102,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 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, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Sr. Release Train Engineer Location: Hybrid role in Atlanta, GA 30328 Duration: 12 Months Contract Payrate: $69.00 - $69.71/ Hour Job Description: The Release Train Engineer (RTE) has primary purpose of supporting an Agile Release Train (ART) by steering it to success and navigating the complexity of delivering software in large environments. The RTE helps resolve and escalate impediments, manages risk, helps assure value delivery, and drives program level continuous improvement. The RTE is accountable for the overall coordination, execution and delivery of value through the program while ensuring alignment with company strategy, commitments and goals. Responsibilities: Active membership in the RTE Community of Practice helping the organization to maintain alignment, learn new techniques, and improve technical and quality practices. Assists the ART to relentlessly improve through the facilitation of ART Retrospectives quarterly, or more as often as needed, to improve backlog management, ART reviews, sprint reviews, or ART coordination and higher-level function. Work with RTE community to determine ways to help ARTs across the company improve cross-train and solution group coordination and collaboration. Facilitates the coordinated preparation and execution of release planning for the ART. Will have Scrum Masters reporting to them directly. Facilitates the coordination of initiatives that cross multiple release trains. Coaches the Agile release train to improve in the implementation of Agile processes, practices, and mindset. The RTE may be called upon to lead projects that impact the ART but may not require work being added to team backlogs. Assisting in the execution of product vision. Support teams commitments and continuous growth. Empower teams to be owners of their products and processes. Qualifications: Bachelor's Degree 4+ years experience OR 8 years relevant experience. 4 years experience as Release Train Engineer, Scrum Master, or Agile Project/Program Manager. Must have experience with presenting and interacting collaboration and influence with Director level stakeholders. Must understand the difference between being Agile and doing Agile. Understands Lean thinking and implementation. Strong technical aptitude and experience leading teams in delivering quality software. Experience applying Lean Thinking and Systems Thinking in large organizations. Experience with Lean Portfolio Management facilitation for program, portfolio, or executive level. Experience working in an Agile organization using Scrum, XP, Kanban, Scaled Agile Framework (SAFe), or other scaling model. Desirable : Agile Certification (A-CSM, PSM, or PMI-ACP) Project Management Professional (PMP) Advanced degree in industry related subject SAFe Program Consultant (SPC) or other SAFe certifications preferred About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.

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's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 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 . click apply for full job details

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's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 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 . click apply for full job details

Job Description Job Description About Radiant Radiant is an El Segundo, CA-based startup building the world's first mass-produced, portable nuclear microreactors. The company's first reactor, Kaleidos, is a 1-megawatt, fail-safe microreactor that can be transported anywhere power is needed and run for up to 5 years without refueling. Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and provide critical asset support for hospitals, data centers, remote sites, and military bases. Radiant's unique, practical approach to nuclear development leverages modern software engineering to rapidly deliver safe, factory-built microreactors that use existing, well-qualified materials. Founded in 2020, Radiant is on track to test its first reactor at the Idaho National Laboratory this summer, with initial customer deliveries beginning in 2028. About the Role We are seeking a Reactor Operations Engineer to design and implement mission-critical procedures for reactor operators managing our groundbreaking nuclear microreactor technology. This role offers a rare opportunity to bridge engineering, operations, and human factors in a highly technical and fast-paced environment. You will collaborate with a multidisciplinary team to translate complex hardware and software designs into clear, executable, and DOE or NRC compliant procedures. Your work will ensure that Reactor Operators (ROs) and Senior Reactor Operators (SROs) can efficiently and safely execute test, commissioning, and operational activities. This position goes beyond traditional systems engineering - you will also gain hands-on experience as a Reactor Operator (RO), directly influencing the development of operational software, procedures, and future reactor designs. Responsibilities & Duties: Qualify as an operator to gain firsthand experience, ensuring procedures align with real-world execution. Collaborate closely with engineers to improve operator interfaces, procedural workflows, and software tools. Support testing and iterative improvements of digital twin scenarios, operator systems, and human-machine interfaces. Ensure compliance with DOE and NRC standards, maintaining strict formatting, clarity, and usability in procedural documentation. Develop and refine operational procedures that integrate both software and hardware-in-the-loop testing. Required Qualifications & Skills: 4+ years of full-time professional experience in engineering problem-solving, including system design, analysis, or testing. Proficiency in managing or optimizing complex hardware and software processes for testing and operations. Ability to apply first principles thinking to solve problems and make decisions in uncertain or ambiguous situations. Background in highly regulated industries (e.g., nuclear, aerospace, aviation, maritime). Desired Qualifications & Skills: Prior experience working as an operator in nuclear environments (e.g., nuclear energy, naval reactors, or radiation-controlled facilities), with familiarity in safety protocols, regulatory compliance, and high-reliability operations 2+ years of full-time nuclear operations experience. Licensed as Senior Reactor Operator or Naval equivalent. Hands-on experience in developing technical procedures, human factors engineering, or operational interface design. Prior operations background such as mission control room operator. Proficiency in Python, UNIX, for procedure testing within the simulator environments. Experience with human factors and user-centered instructions for operational workflows. Additional Requirements: Must be willing to work extended hours and weekends as necessary to accomplish our mission. Must work 100% onsite at El Segundo HQ. Willingness to travel 50% - 60% of the time as needed for projects. Benefits and Perks Stock: Substantial incentive stock plan for all full-time employees. Medical: 100% up to base silver level plan for employee + 50% dependents, offers up to Platinum plans. One Medical: Sponsored memberships for employees and their dependents. Vision: 100% top tier plan coverage + 50% for dependents. Dental: 100% top tier plan coverage, orthodontia extra, 50% for dependents. Voluntary life, accident, hospital, critical illness, commuter and FSA/HSA are offered as employee contributed benefits. 8-weeks of paid parental leave for all parents. Additional paid pregnancy leave for CA employees. Daily catered lunch. Free snacks and drinks. Flexible PTO policy. Remote workday allocation. Company and team-bonding events, happy hours and in-person camaraderie. Beautiful El Segundo headquarters close to the Pacific Ocean. Total Compensation and Benefits Radiant compensates people for impact and invests in those who continue to raise the bar. Radiant's new hire compensation package includes base salary, substantial equity grants, and comprehensive health benefits. Total compensation and level are determined through a rigorous evaluation of interview performance, experience, education, and qualifications, and are designed to support continued growth as scope, responsibility, and impact expand at Radiant. The best of today's advanced reactor builders don't wait for job postings. They join the winning team. If that's you, contact us directly for immediate opportunities: . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. Compensation Range: $106,500 - $146,475

Job Description Job Description About Radiant Radiant is an El Segundo, CA-based startup building the world's first mass-produced, portable nuclear microreactors. The company's first reactor, Kaleidos, is a 1-megawatt, fail-safe microreactor that can be transported anywhere power is needed and run for up to 5 years without refueling. Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and provide critical asset support for hospitals, data centers, remote sites, and military bases. Radiant's unique, practical approach to nuclear development leverages modern software engineering to rapidly deliver safe, factory-built microreactors that use existing, well-qualified materials. Founded in 2020, Radiant is on track to test its first reactor at the Idaho National Laboratory this summer, with initial customer deliveries beginning in 2028. Radiant is seeking a highly motivated Reactor Operations Engineer to join the team. Responsibilities: Develop and refine operational procedures that integrate both software and hardware-in-the-loop testing. This role offers a rare opportunity to bridge engineering, operations, and human factors in a highly technical and regulated environment. You will collaborate with a multidisciplinary team to translate complex hardware and software designs into clear, executable, and DOE or NRC compliant procedures. Your work will ensure that Reactor Operators (ROs) and Senior Reactor Operators (SROs) can efficiently and safely execute test, commissioning, and operational activities. Collaborate closely with engineers to improve operator interfaces, procedural workflows, and software tools. Gain firsthand experience, ensuring procedures align with real-world execution. Support testing and iterative improvements of digital twin scenarios, operator systems, and human-machine interfaces. Ensure compliance with DOE and NRC standards, maintaining strict formatting, clarity, and usability in procedural documentation. Qualifications: BS or MS in Mechanical Engineering, Nuclear Engineering, Aerospace Engineering, or a related discipline. Graduating in December 2026 or Spring 2027. Proficiency in managing or optimizing complex hardware and software processes for testing and operations. Ability to apply first principles thinking to solve problems and make decisions in uncertain or ambiguous situations. Desired Qualifications: Hands-on experience in developing technical procedures, human factors engineering, or operational interface design. Proficiency in Python, UNIX, for procedure testing within the simulator environments. Experience with human factors and user-centered instructions for operational workflows. Benefits and Perks Stock: Substantial incentive stock plan for all full-time employees. Medical: 100% up to base silver level plan for employee + 50% dependents, offers up to Platinum plans. One Medical: Sponsored memberships for employees and their dependents. Vision: 100% top tier plan coverage + 50% for dependents. Dental: 100% top tier plan coverage, orthodontia extra, 50% for dependents. Voluntary life, accident, hospital, critical illness, commuter and FSA/HSA are offered as employee contributed benefits. 8-weeks of paid parental leave for all parents. Additional paid pregnancy leave for CA employees. Daily catered lunch. Free snacks and drinks. Flexible PTO policy. Remote workday allocation. Company and team-bonding events, happy hours and in-person camaraderie. Beautiful El Segundo headquarters close to the Pacific Ocean. Total Compensation and Benefits Radiant compensates people for impact and invests in those who continue to raise the bar. Radiant's new hire compensation package includes base salary, substantial equity grants, and comprehensive health benefits. Total compensation and level are determined through a rigorous evaluation of interview performance, experience, education, and qualifications, and are designed to support continued growth as scope, responsibility, and impact expand at Radiant. The best of today's advanced reactor builders don't wait for job postings. They join the winning team. If that's you, contact us directly for immediate opportunities: . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. Compensation Range: $105K - $130K

BASIC QUALIFICATIONS - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Bachelor's degree in computer science, engineering, mathematics or equivalent - Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration) PREFERRED QUALIFICATIONS - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).