About us
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.
Job Summary
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. In this role, you will lead the technology characterization, reliability, and interconnect performance strategies that ensure our compute fabrics scale flawlessly. 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.
Responsibilities and Duties
- Hardware-Software Co-Design: Collaborate with software engineering to ensure the AI compute and Rack level hardware architectures fundamentally accelerate lower-level ML frameworks and localized inference engines (e.g., vLLM, Ollama, TensorRT).
- Performance Modeling: Build and analyze cycle-accurate simulators and analytical models to identify bottlenecks, forecast workload performance, and guide architectural trade-offs.
- 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.
- Reliability: As a Platform level GPU architect, the role requires the candidate to have extensive knowledge in Reliability and Quality including but not limited to the ability to calculate MTBF, FIT rates, IEFR, IFR, and lifecycle bath-tub curves to understand repair rates, SLAs, uptime curves.
- NPI Manufacturing: The role requires a deep knowledge with manufacturing processes to detect and correct any inadequate manufacturing frameworks that can impact the overall quality of the products we deploy in our Datacenters.
Candidate Profile
Essential:
- Experience: 10+ years of deep experience in GPUs, AI accelerators, or highly parallel computer systems in areas of qualification, manufacturing, and programming.
- Microarchitecture Expertise: Understanding of SIMD/SIMT execution models, instruction scheduling, and hardware acceleration for machine learning algorithms.
- Manufacturing: Deep knowledge of advanced manufacturing techniques for build of AI compute units and Rack level L11 liquid cooled solutions.
- Systems Interconnects: Extensive hands-on experience characterizing data pathways across RDMA environments, and hardware clustering protocols.
- 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.
- Education: BS or MS or equivalent experience in Computer Engineering or Electrical Engineering.
Desirable
- Specific Topology Experience: 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 and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Skills Required
- 10+ years of deep experience in GPUs, AI accelerators, or highly parallel computer systems
- Understanding of SIMD/SIMT execution models and instruction scheduling
- Proficiency in C++, Python, or similar languages
- Education BS or MS in Computer Engineering or Electrical Engineering
What the Team is Saying
Graphcore Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical and dental insurance, with US plans through Cigna and Kaiser, HDHP options with employer‑funded HSA contributions, a health cash plan, EAP access, and dedicated mental‑health support. These provisions extend to family options in some regions, reinforcing broad medical and wellbeing support.
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Retirement Support — Retirement programs include a UK pension match up to 5% and a US 401(k) with a 100% company match up to 6% (with a true‑up). This pairing signals strong, predictable long‑term savings support across key locations.
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Leave & Time Off Breadth — Time‑off policies feature “unlimited” holiday in the UK and flexible, generous PTO with paid US holidays. Paid family leave for birthing parents and bonding further broadens time‑away support.
Graphcore Insights
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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Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
