Graphcore Logo

Graphcore

Server CPU Systems Engineer

Reposted 2 Days Ago
Be an Early Applicant
Hybrid
Austin, TX
Expert/Leader
Hybrid
Austin, TX
Expert/Leader
Lead server and blade rack bring-up, install and configure servers, manage inventory via DCIM, run post-silicon validation and debug for CPU/GPU/HBM/IO, develop lab validation tools and scripts, coordinate data center projects and vendors, and drive technical improvements in system validation.
The summary above was generated by AI
About us

We are looking for a disciplined and dynamic Systems Engineer with focus on server CPU based system to join our growing compute rack validation team. Candidate we are seeking should have demonstrated work-experience in leading server rack and blade hardware systems deployment, hardware installation, and inventory management activities in the Austin, TX area. As a diligent leader in Systems Engineering, you will drive multiple aspects of post-silicon validation throughout the life cycle of the program. In this high visibility position, you will be part of a technical team chartered to innovate and improve system bring-up and enablement capabilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, systems engineering and hardware bring-up, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc).

The ideal candidate will be driving key areas around at-scale system validation including ARM based server and rack level systems bring-up (nodes and rack level systems). Candidate will be immersed in challenging system enablement work, ramp-up post-silicon capabilities in engineering lab environments, validation tests execution/triage. The candidate will be leading contributor towards state-of-the-art HW bring-up and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture.


Primary Responsibilities:

  • Install, configure, commission (and decommission if needed) blade servers, chassis, switches, and supporting infrastructure.
  • Lead rack and stack activities, including mounting equipment, cable management, and labelling. Execute hardware upgrades, replacements, and troubleshooting of server and network components.
  • Maintain accurate asset records within DCIM platforms and inventory management systems.
  • Conduct physical audits and reconcile inventory discrepancies.
  • Track hardware movements, deployments, and decommissions through established change management processes.
  • Document installation procedures, rack layouts, cabling diagrams, and inventory updates.
  • Support data center migration, expansion, and refresh projects.
  • Collaborate with engineering, operations, logistics, and project management teams.
  • Adhere to all data center safety, security, and operational standards.
  • Develop, setup and scale key methodologies for at-scale test execution, lab HW and system SW capabilities as well as system visibilities and debug tools necessary for successful system (HW/SW/FW) bring-up and system validation at blade and rack level for AI compute rack.
  • Ability to work independently in a production ready environment, and a commitment tomaintaining accurate inventory and asset records.
  • Triage issues found during server rack validation bring-up, Post-Silicon Validation, and production phases of the program. Ensure issues are solved on time with quality.
  • Lead test execution of key domains within AI compute solutions like CPU, GPU, memory, HBM, IO etc.
  • Drive technical innovation to improve capabilities across system validation, including tools, script development, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives.

Qualifications:

  • Strong analytical/problem-solving skills and pronounced attention to details
  • Experience in Blade server installation and maintenance (Cisco UCS, HPE Synergy, Dell MX, or similar).
  • Rack and stack deployments in enterprise or hyperscale environments.
  • Copper and fiber cabling installation and management.
  • DCIM and asset management platforms.
  • Strong understanding of server, storage, and networking hardware.
  • Experience performing inventory audits and maintaining asset accuracy.
  • Ability to read rack elevation diagrams, cabling schematics, and deployment documentation.
  • Familiarity with ticketing and change management systems.
  • Exposure to Linux (ubuntu) OS bootable images and system firmware basics for image building, provisioning and firmware flashing.
  • Exposure to automation testing, to enable execution of hardware acceptance tests, best-known-config testing etc.
  • Exposure to python script development and execution.
  • Proven experience in understanding, defining and enabling storage (storage rack), networking capabilities (network rack, DNS, DHCP etc) in a lab environment to help add end-to-end validation and debug capabilities for rack and blade validation.
  • Excellent communication and coordination skills.
  • Detailed oriented, highly organized, able to prioritize, and juggle multiple work streams to tight deadlines.
  • Technical leadership: capable of championing new tools, methods, and capabilities to drive platform validation improvements in schedule, quality, or coverage.
  • Experience working with data center technical staff, 3rd party vendors, ODMs etc throughout the life cycle of server system product development.
  • Must be a self-starter, and able to independently drive tasks to completion

Preferred Qualifications:

  • Masters or PhD in Electrical Engineering, Computer Engineering or a related field.
  • 10+ years of work experience demonstrating working on complex systems engineering challenges to validate and debug HW-FW-SW challenges in a server compute rack or data center blade environment.
  • Experience designing and deploying modern AI/ML rack scale systems
  • Knowledge of industry standards and best practices for hardware development
  • Familiarity with emerging technologies in AI and Data Center infrastructure.
  • Comfortable meeting, engaging and collaborating with ODM partners and staffing vendors across the globe.

USA Benefits
In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.


Similar Jobs at Graphcore

Expert/Leader
Artificial Intelligence • Semiconductor
Lead post-silicon functional validation for AI SoCs: plan, develop and debug bare-metal tests on FPGA/emulator and first silicon, build Python automation and regression suites, analyse failures, collaborate across hardware, firmware and platform teams, and improve test infrastructure and methodologies.
Top Skills: AmbaArm CpusAsicBare-Metal DevelopmentCC++DdrDebug ToolsEmulatorEthernetFpgaHbmHigh-Speed PhysI2CI3CLinuxLpddrPciePllsPythonSocSpi
Yesterday
Hybrid
Senior level
Senior level
Artificial Intelligence • Semiconductor
Develop, deploy and maintain system-level test (SLT) content, automation, diagnostics and characterization for AI processors. Execute margining, reliability screening and performance correlation; debug failures and perform root-cause analysis across lab, ATE and manufacturing. Build SLT hardware and automation tools, support manufacturing transfer and ramp, and mentor junior engineers to improve test coverage and manufacturability.
Top Skills: AteBistBoundary ScanDftJtagMbistOsatPower DeliveryPythonScanShellSignal IntegritySltTcl
2 Days Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Semiconductor
Lead systems engineer for blade and rack validation of ARM/x86 server compute racks. Drive first-silicon bring-up, firmware integration, lab and debug tool development, test plan ownership, triage and resolution of HW/FW/SW issues, and cross-functional coordination to meet program milestones and improve validation capabilities.
Top Skills: ArmCpuCxlDevice DriversDhcpDnsGpuHbmHyper-VKvmLinuxPciePower ManagementRasRevision Control SystemsSocStorageSystem BiosVMwareWindowsX86

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account