Server CPU Systems Engineer

Graphcore•Austin, TX

13h•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.
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