Graphcore

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.

This listing is sourced directly from Graphcore's careers page and normalized into a canonical job model.