We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, 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 technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW 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:
- Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec.
- Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions.
- Develop key methodologies, lab HW and system SW capabilitiesas 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.
- Triageissues found during server rack validation bring-up, Post-Silicon Validation, and production phases of the program. Ensure issues are solved on time with quality.
- Develop and own test plans,lead test case development and execution of key domains within AI compute solutions like CPU, GPU, memory, HBM, IO etc.
- Drive technical innovation to improve capabilities acrosssystem validation, including tool, 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
- Extensive experience in validation roles involvingfirst silicon and system bring up, OS, FW, Silicon, and HW
- Understanding of PC industry standardbuses and their software stack, such as PCIe, CXL.
- 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.
- Strong knowledge ofARM CPU or X86 architecture, SoC design, memory, RAS & power management as well as HW/SW based tools, and revision control systems.
- Extensive knowledge of system architecture, technical debug, and validation strategy
- Good understanding and experience in platform/ system level debug, Operating System, DeviceDrivers and System BIOS interactions.
- Excellent communication and coordination skills.
- Detailed oriented, highly organized, able to prioritize, and juggle multiple workstreams to tight deadlines.
- Technical leadership: capable of championing new tools, methods, and capabilities to drive platform validation improvements in schedule, quality, or coverage.
- Deep experience with Linux and Windows Operating Systems, Hypervisors (VMware, KVM, Hyper-V, etc.), and development and certification processes of these environments
- Experience in technical program management.
- A thorough understanding of datacenter industry technologies and their software stack.
- Must be a self-starter, and able to independently drive tasks to completion
Preferred Qualifications:
- Mastersor PhD in Electrical Engineering, Computer Engineering or a related
- 14+ 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 hardwaredevelopment
- Familiarity with emerging technologies in AI andData Center
- Comfortable meeting,engaging and collaborating with ODM partners 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.
Skills Required
- Extensive experience in validation roles involving first silicon and system bring-up, OS, FW, silicon, and HW
- Understanding of PC industry standard buses and their software stack such as PCIe and CXL
- Proven experience enabling storage and networking capabilities (storage rack, network rack, DNS, DHCP) in a lab environment for end-to-end validation
- Strong knowledge of ARM CPU or x86 architecture, SoC design, memory, RAS and power management, HW/SW based tools, and revision control systems
- Extensive knowledge of system architecture, technical debug, and validation strategy
- Experience in platform/system level debug, operating systems, device drivers and system BIOS interactions
- Deep experience with Linux and Windows Operating Systems, hypervisors (VMware, KVM, Hyper-V) and their development/certification processes
- Technical leadership capability to champion new tools, methods, and capabilities for platform validation
- Experience in technical program management
- Excellent communication, coordination, organizational skills, and ability to prioritize multiple workstreams
- Self-starter able to independently drive tasks to completion
- Masters or PhD in Electrical Engineering, Computer Engineering or related
- 14+ years of work experience on complex systems engineering challenges validating HW-FW-SW in server compute rack or data center blade environments
- Experience designing and deploying modern AI/ML rack scale systems
- Familiarity with industry standards and best practices for hardware development and emerging AI/data center technologies
- Comfortable engaging and collaborating with ODM partners globally
What We Do
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Why Work With Us
Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.
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