Technical Compute Qualification Manager Jobs

About the Role As Head of First Party Chip Finance, you will be the finance leader for OpenAI’s custom silicon efforts. You will partner with teams across chip design, engineering, infrastructure, supply chain, and finance to turn technical roadmaps into sound investment decisions and financially disciplined execution. This role spans the full chip development lifecycle: evaluating design and roadmap choices, building investment cases, forecasting development and production costs, and supporting manufacturing and deployment at scale. You will give leadership a clear view of program economics, funding requirements, and risks as we build first-party compute capabilities. In this role, you will: Lead financial evaluation of custom silicon programs, including development investment, production economics, deployment assumptions, and expected returns. Assess first-party chips against alternative compute options. Build and own program-level models and multiyear forecasts that connect engineering milestones, development spending, manufacturing volumes, supplier commitments, and cash requirements. Partner closely with chip-design and engineering leaders on technical decisions that affect performance, power consumption, cost, and time to deployment. Translate complex design tradeoffs into clear financial recommendations. Develop a detailed view of chip and system costs, including wafers, manufacturing yields, packaging, memory, testing, and integration. Identify opportunities to improve economics as programs move from development into production. Partner with Supply Chain and Procurement on supplier strategy and commercial negotiations, including capacity reservations, volume commitments, prepayments, and contractual risk. Work with Treasury, Corporate Finance, Accounting, Tax, and Legal to evaluate financing and payment structures, manage financial exposure, and support program execution. Support commercial deployment and pricing decisions through analysis of unit economics,

We are seeking a highly technical Infrastructure Security Engineer to join our Public Sector Infrastructure & Security team. Our Infrastructure Security Engineers ensure the security and integrity of our platform. You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture. You will: Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP). Implement and maintain robust security configurations and policies for cloud environments. Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement. Develop and enforce security best practices for infrastructure automation and orchestration. Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle. Review and secure infrastructure as code (e.g., Terraform, CloudFormation). Educate and mentor team members on infrastructure security best practices and emerging threats. Must have: At least an active Top Secret clearance. This is a requirement and candidates will not be considered who do not hold at least a Top Secret clearance. Ideally, you’d have: Proven experience as a Security Engineer with a focus on infrastructure security. Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes. Strong understanding of modern Javascript application design. Production experience with Kubernetes backed services Hands-on experience with SAST and DAST tools and methodologies. Familiarity with terraform orchestration for infrastructure management. You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input. Excellent communication skills, with the

About The Role Together AI is scaling its own data center infrastructure to power the next generation of AI workloads. We are looking for a Program Manager, Data Center Delivery to serve as our representative across our physical infrastructure builds. In this role, you will manage critical data center builds, coordinate infrastructure deployment, and drive projects from contract negotiation through commissioning and data center fit out with vendors and strategic partners. You will own the full deployment lifecycle, ensuring builds are delivered on time, on budget, and to the quality standards required for high-density AI compute environments. Responsibilities Serve as Together’s representative on data center construction and expansion projects, managing data center providers, sub-contractors, compute integration partners, and strategic infrastructure alliances with cloud providers and technology partners from inception through deployment. Oversee full-stack deployment, from MEP installation, white space commissioning, facility readiness, white space fit out, and turnover to operations teams. Manage the performance of integration partners (VARs/CI’s) regarding staging and validation. Manage partner contracts and collaborative technical partners, service level agreements (SLAs), schedules, and change orders; track progress against milestones and hold partners accountable to performance, cost, and timeline commitments. Conduct diligence on vendor and partner operational readiness. Coordinate with external partners, including data center providers, owner’s reps, GCs, design consultants, and commissioning agents, to resolve field issues and keep builds on track. Track equipment deliveries from vendors, coordinating delivery schedules with construction milestones to ensure materials arrive on time. Provide regular project status reporting to leadership, including schedule updates, risk registers, budget forecasts, and key decision points. Drive process improvements

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands. What you'll be doing: Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable Contribute to operational standards, documentation, and best practices to improve consistency across sites Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: Bachelor’s degree in Computer Science or related field, or equivalent experience Minimum 5+ years of experience operating and supporting large-scale Linux-based

About the Team We partner with technical and business leaders to turn advances in AI into useful products and sustainable businesses. Strategic Finance supports complex infrastructure programs by evaluating investment choices, commercial opportunities and operating performance. About the Role We are looking for a hands-on finance professional with direct experience supporting silicon design or semiconductor development programs. You will own financial models, deal analysis, forecasts and operating reviews, working with engineering, research and commercial teams to translate technical milestones and investment needs into clear business decisions. You will partner with the finance leader on priorities, resource allocation and significant decisions. In this role, you will: Own financial models, budgets, forecasts and performance reporting for priority programs, including headcount and investment tracking. Translate silicon development milestones, cost drivers and infrastructure requirements into investment and pricing recommendations. Evaluate customer and partner economics, including engineering support, compute, tooling, licensing and contingent commitments. Build and maintain customer- and program-level revenue, cost of goods sold, gross margin and cash reporting with Engineering, Finance Operations and Accounting. Support deal negotiations and renewals with scenario analysis, proposed terms and clear financial guardrails. Present actionable recommendations, coordinate inputs across teams and escalate material risks or unresolved tradeoffs. You might thrive in this role if you have: Direct finance experience supporting silicon design or semiconductor development, including ownership of development investment, program costs, pricing or commercialization models. Practical understanding of silicon design and validation milestones, PPA, die and manufacturing economics, and the risks that affect program value. Demonstrated ownership of complex financial models, forecasts

About the Team We partner with technical and business leaders to turn advances in AI into useful products and sustainable businesses. Strategic Finance supports complex infrastructure programs by evaluating investment choices, commercial opportunities and operating performance. About the Role We are looking for a hands-on finance professional with direct experience supporting silicon design or semiconductor development programs. You will own financial models, deal analysis, forecasts and operating reviews, working with engineering, research and commercial teams to translate technical milestones and investment needs into clear business decisions. You will partner with the finance leader on priorities, resource allocation and significant decisions. In this role, you will: Own financial models, budgets, forecasts and performance reporting for priority programs, including headcount and investment tracking. Translate silicon development milestones, cost drivers and infrastructure requirements into investment and pricing recommendations. Evaluate customer and partner economics, including engineering support, compute, tooling, licensing and contingent commitments. Build and maintain customer- and program-level revenue, cost of goods sold, gross margin and cash reporting with Engineering, Finance Operations and Accounting. Support deal negotiations and renewals with scenario analysis, proposed terms and clear financial guardrails. Present actionable recommendations, coordinate inputs across teams and escalate material risks or unresolved tradeoffs. You might thrive in this role if you have: Direct finance experience supporting silicon design or semiconductor development, including ownership of development investment, program costs, pricing or commercialization models. Practical understanding of silicon design and validation milestones, PPA, die and manufacturing economics, and the risks that affect program value. Demonstrated ownership of complex financial models, forecasts

About the job Shape the power-delivery architecture behind Graphcore’s high-performance AI compute systems, from voltage regulation through package, PCB and silicon. As Staff Power Integrity Engineer, you will provide technical leadership on Graphcore’s most complex power-delivery challenges. Your analysis and judgement will directly influence architecture and product decisions. You will define modelling strategies, optimise decoupling and analyse PDN impedance, voltage droop, transient response and regulator interactions. You will turn complex results into clear engineering decisions, requirements and sign-off approaches. You will lead significant PI issues through resolution and create alignment across silicon, package, board, power, systems and validation teams. You will also develop reusable methods and mentor engineers, raising power-integrity capability across Graphcore. The team and culture The Signal and Power Integrity team sits at the centre of Graphcore’s hardware development. We work across disciplines to understand electrical behaviour and guide consequential architecture decisions. You will own complex PI problems and drive them through to resolution. Decisions are grounded in modelling, first-principles reasoning, hardware evidence and clear assessment of uncertainty. You will challenge assumptions, communicate risk clearly and help teams make pragmatic trade-offs. Technical influence matters more than reporting lines. What we’re looking for Deep practical expertise in power integrity and complex power-delivery network design. Strong understanding of PDN impedance, transient behaviour, voltage droop, resonance, stability and decoupling across high-current digital systems. Ability to reason across silicon, package, PCB, voltage regulation and system boundaries. Strong capability in electromagnetic modelling, circuit simulation, model extraction and selecting appropriate abstraction methods. Engineering judgement to assess model validity, uncertainty an

About the Team OpenAI’s Industrial Compute organization is responsible for building and scaling the infrastructure that powers our most advanced AI systems. Through a combination of strategic partnerships and self-built campuses, we are developing data center infrastructure at unprecedented scale and speed. The Data Center Delivery organization works across design, construction, commissioning, operations, vendors, and equipment suppliers to turn infrastructure plans into operational capacity. As projects progress from construction through commissioning and turnover, maintaining accurate equipment information, asset records, schedules, and documentation is critical to ensuring infrastructure is ready to operate and maintain. About the Role We are seeking a Maintenance Analyst to support the build, commissioning, and turnover of large-scale data center infrastructure. This role sits within the build organization and serves as a key connection point between equipment vendors, construction teams, commissioning teams, and the systems used to manage physical infrastructure. The Maintenance Specialist will ensure vendor equipment information is accurately captured, validated, and assigned to the appropriate equipment records, logs, and asset tags as infrastructure is installed and commissioned. In addition to equipment and maintenance data management, this person will provide real-time coordination and scheduling support as construction and commissioning activities progress. This role is well suited for someone who is highly organized, comfortable working with technical equipment information, and able to operate effectively in a fast-moving field environment. Key Responsibilities Own the collection, validation, and entry of vendor equipment information into equipment logs, asset registers, tagging systems, and infrastructure management tools. Maintain accurate equipment records, including manufacturer information, model and serial numbers, location, system association, war

About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of AI at unprecedented scale. Through a combination of strategic partnerships and self-built campuses, we are developing and operating large-scale data center infrastructure across power, cooling, networking, compute, construction, and site operations. The scale and complexity of this infrastructure introduces a broad range of environmental, health, and safety considerations across site development, design, construction, equipment deployment, commissioning, and ongoing operations. EHS is a critical part of how we build infrastructure that is safe, resilient, compliant, and capable of operating at scale. About the Role We are seeking an EHS Lead to establish and drive environmental, health, and safety strategy across OpenAI’s rapidly expanding compute infrastructure portfolio. This role will develop the EHS framework for large-scale data center development and operations, partnering closely with engineering, construction, infrastructure delivery, facilities, operations, security, legal, environmental, and external development partners. The EHS Lead will help ensure that safety and environmental considerations are embedded into projects from early design and site development through construction, commissioning, and operations. The role will establish standards and operating mechanisms, assess and mitigate risks, oversee EHS performance across internal teams and third-party partners, and provide technical leadership on complex or high-consequence safety issues. Success requires the ability to operate strategically while maintaining strong technical depth and executional rigor in fast-moving, highly complex infrastructure environments. In this role, you will: Develop and own EHS strategy, standards, programs, and operating mechanisms across OpenAI’s data center and compute infrastructure portfolio. Establish scalable EHS requirements for site de

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security a

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Global Sourcing Manager – Rack & Mechanicals to lead sourcing strategy and supplier engagement for rack infrastructure and mechanical hardware components supporting Graphcore’s AI infrastructure platforms. This role partners closely with engineering, supply chain, and finance teams to secure best-in-class capacity, cost, and delivery performance for critical hardware technologies. The successful candidate will translate technical product roadmaps into sourcing strategies, negotiate complex commercial agreements, and ensure resilient supply chains supporting global infrastructure deployment. The Team The Global Sourcing Management (GSM) team defines and executes supplier strategies across Graphcore’s hardware and infrastructure ecosystem. The team works closely with engineering and supply chain functions to identify, develop, and manage suppliers that support Graphcore’s product roadmap and operational scale. Responsibilities and Duties Own strategic sourcing activities for rack and mechanical hardware components. Develop and execute multi-year commodity strategies aligned with engineering roadm

About the job Own the manufacturing performance behind advanced AI compute systems in volume production. As, Senior Manufacturing Product Engineer you will connect product design, test, quality and supply chain with manufacturing execution. You will support volume production across PCB assembly with our build partners in Taiwan. Your work will improve yield, quality and manufacturability across complex products. You will link manufacturing process performance to the product metrics that matter most. You will manage partner engineering relationships, resolve manufacturing issues and drive continuous improvement. You will also shape DfM feedback, production data requirements and next generation manufacturing technologies. This role suits someone who combines practical manufacturing judgement with strong data thinking. You will work close to suppliers, product teams and the decisions that shape production outcomes. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to wafer foundry, package assembly and PCBA subcontractors. Work happens through direct ownership at partner sites and clear technical engagement with internal teams. You will move quickly on production issues, using data and engineering judgement to guide action. The team values people who speak up, take responsibility and build strong supplier relationships. Decisions are grounded in evidence, product impact and the need to keep manufacturing improving. What we're looking for · Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug · Thorough understanding of automated SMT assembly processes and lean manufacturing methodologies · Working knowledge of L10 mechanical design and system build, ideally for HPC products · Experienced in statistical analysis tools (e.g JMP, SQL, Python) · Ability to connect silicon, package and PCB interactions into clear DfM

About the job Shape the power delivery that will make Graphcore’s next-generation AI compute systems reliable. As a Power Integrity Engineer, you will analyse power-delivery networks across silicon, package and PCB, turning complex behaviour into practical design recommendations. You will build PDN models, investigate parasitics, and use frequency-domain and time-domain analysis to understand stability, droop, resonances and transient response. Your work will directly inform decoupling, layout, and power and ground distribution choices. You will use electromagnetic simulation to understand resistance, inductance, coupling and impedance. You will also validate assumptions, identify technical risks, and connect simulation results with hardware measurements. You will start with clearly scoped PI problems, supported by experienced engineers when wider decisions are involved. As your capability grows, you will own larger parts of the PDN. The team and culture You will work alongside experienced PI engineers and colleagues across hardware disciplines, connecting analysis with real design decisions and measurements. You will own defined technical problems and move quickly from modelling to recommendations. Decisions are grounded in evidence, physical understanding and clear communication of uncertainty. You will contribute to design reviews, speak up when results expose risk, and take responsibility for the quality of your analysis. What we’re looking for Build, integrate and analyse PDN models for defined power rails, package structures, PCB designs or subsystems. Use frequency-domain impedance analysis and time-domain simulation to investigate voltage stability, droop, resonances and transient response. Evaluate decoupling choices and placement, considering capacitance, parasitics and the interaction between silicon, package and PCB. Use electromagnetic simulation to extract and understand resistance, inductance, coupling and impedance in power and ground structures. Che

About the job Shape the power delivery foundations behind advanced AI compute systems built for real-world reliability. As a Power Integrity Engineer, you will deliver robust power integrity solutions across Graphcore silicon and system designs. Your work will help advanced compute platforms operate reliably across complex packages, PCBs and hardware systems. You will develop and analyse power delivery networks across silicon, package and PCB designs. You will use simulation, measurement and lab correlation to turn power behaviour into clear design improvements. This role gives you ownership across the full system path. You will influence decoupling strategy, stack-up decisions, bring-up debug and best practice for future platforms. The team and culture You will join the Signal and Power Integrity team within Systems Engineering Hardware Motherboard. The team works across chip, package, board and system engineering to solve problems end to end. Work moves through modelling, simulation, validation and lab evidence. You will collaborate closely with hardware teams and third parties to improve power and signal performance. You will be trusted to guide technical decisions, review peer work and speak up when designs need challenge. Ownership sits close to the engineering detail. What we’re looking for · Strong understanding of power integrity principles, including PDN design and analysis · Proficiency with PI simulation tools such as PowerDC, PowerSI, HFSS/SiWave, Simplis, Spice, ADS or similar · Experience working across chip, package or board-level design · Ability to interpret simulation results and translate them into design improvements · Knowledge of electromagnetic simulation techniques and lab measurement using equipment such as VNAs and oscilloscopes · Strong analytical skills, clear communication and the ability to work cross-functionally While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our

High Performance Workstation Business Development Manager- AMD Description - Sales and Technical Consultant, High-Performance Workstation Segment We are seeking a customer-facing AI and Acquisition subject matter expert role on the HPI Advanced Compute Solutions (ACS) sales team and will focus on growing HP’s Z high-performance workstation Total Addressable Market (TAM) within the AI PC market. This individual will be responsible for working with customers and partners in support of attracting new customers and growth in HP’s high performance compute solutions . The role analyzes market competition, gathers customer feedback, and shares insights with internal teams for improvement. The ideal candidate will possess a breadth of abilities and skills, including client hardware knowledge, AI and machine learning applications and solutions, strong marketing and presentation skills, solid understanding of customers’ business and decision makers, and strong team leadership to drive growth with an emphasis on Advanced Micro Devices (AMD) platforms with customers and partners. Most importantly, the role offers the opportunity to be a business leader in support of the sales teams nationally - contributing to the strategy, setting direction, and achieving success in AMD and HP. The role requires someone to be self-driven, capable of operating autonomously through ambiguity, and constantly striving for excellence. THE PERSON: We seek an individual with exceptional technical & business knowledge and familiarity with AI trends in the PC market. This individual should be comfortable working: Dynamic environment and have experience with PC client and AI hardware, software and systems. Work independently within a core team is important, and you will rely upon your excellent communication and relat