Graphcore
GPU Architect
US - Milpitas
Sponsorship not specifiedDetected 36 days ago
PythonC++Machine LearningLLMs
About the role
- We are seeking a highly accomplished experienced GPU Architect to define the next generation of AI accelerators and multi-GPU cluster architecture.
- As the demand for trillion-parameter LLM training and high-throughput localized inference accelerates, the role of GPU architecture has never been more critical.
- Influence long-term silicon architecture roadmaps with our GPU SoC teams.
Responsibilities
- Influence long-term silicon architecture roadmaps with our GPU SoC teams. Mentor engineering teams and drive strict engineering standards from feasibility to tape-out and post-silicon validation.
- You will collaborate deeply across hardware, firmware, and AI silicon teams to build GPU infrastructure capable of pushing the absolute limits of parallel processing and hardware efficiency.
- Performance Modeling: Build and analyze cycle-accurate simulators and analytical models to identify bottlenecks, forecast workload performance, and guide architectural trade-offs.
- Direct experience qualifying Rack-scale GPU designs including but not limited to NPI manufacturing, testing, quality and reliability calculations.
- 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.
Requirements
- 10+ years of deep experience in GPUs, AI accelerators, or highly parallel computer systems in areas of qualification, manufacturing, and programming.
- Proficiency in C++, Python, or similar languages for performance modeling, GPU technology characterization, and workload profiling.
- Exceptional ability to characterize complex AI mathematical operations into efficient hardware implementations.
- Programming & Tooling: Proficiency in C++, Python, or similar languages for performance modeling, GPU technology characterization, and workload profiling.
- Analytical Rigor: Exceptional ability to characterize complex AI mathematical operations into efficient hardware implementations.
Skills
- Candidate Profile
Compensation
- In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.
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.
- We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Company info
- 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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing!.
- 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.
- In this role, you will lead the technology characterization, reliability, and interconnect performance strategies that ensure our compute fabrics scale flawlessly.
- 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.
- We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing!.
- 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.
- and Duties
Equal opportunity
- We offer an equal opportunity process and understand that there are visible and invisible differences in all of us.
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This listing is sourced directly from Graphcore's careers page and normalized into a canonical job model.