Graphcore Logo

Graphcore

Principal AI Performance Engineer

Posted 6 Days Ago
Be an Early Applicant
Hybrid
Austin, TX
Expert/Leader
Hybrid
Austin, TX
Expert/Leader
Lead performance strategy for large-scale AI training and inference systems. Investigate workload behavior, profiling, benchmarking, modeling, distributed communication, and multi-node scaling across hardware and software. Define measurement standards, guide optimization roadmaps, review C++ and Python tools, and influence system architecture and engineering priorities across teams.
The summary above was generated by AI
About the Job

Set the performance direction behind large-scale AI systems built for real deployment.

As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture.

You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities.

You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete.

This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas.

The team and culture

The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior.

Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization.

Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area.

What we’re looking for

· Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale.
· Proven technical leadership across complex performance-engineering or system-architecture initiatives.
· Expert C++ and Python skills, including reliable tools or performance-sensitive software.
· Expert understanding of compute, memory, communication and scaling behavior in distributed systems.
· Ability to define benchmarks, measurement practices or optimization standards across teams.
· Experience with MPI, NCCL, UCX, libfabric, MLPerf, accelerated architectures or high-performance interconnects.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.

Benefits

Graphcore offers competitive compensation and benefits designed to support employees' health, financial well-being, work-life needs, and professional growth. Benefits and programs for eligible U.S. employees may include: 

• Medical, dental, and vision coverage, with options that may extend to eligible dependents.
• Mental health, wellness, and employee assistance resources.
• Retirement savings benefits and company contributions where applicable.
• Paid vacation, sick time, company holidays, and parental or family leave in accordance with applicable plans and policies.
• Life insurance and short-term or long-term disability coverage.
• Flexible working hours and hybrid working arrangements where compatible with the role and team requirements.
• Professional-development resources, learning programs, office amenities, and team-led activities. 

Benefits vary by work location, employment status, scheduled hours, and plan eligibility and are subject to the terms of the applicable plans and company policies. This overview is not a contract or guarantee of benefits. 

Graphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law. 

Graphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know. 

Personal information submitted during the recruiting process will be handled in accordance with Graphcore's applicable candidate privacy notices.

Join the Team at Graphcore

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. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Ready to set the performance direction for AI systems at data center scale? Apply now to join Graphcore in Austin.

Similar Jobs at Graphcore

Yesterday
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Develop system-level diagnostics, stress-testing software, and validation utilities for next-generation AI SoCs. The role involves extending Arm diagnostics, testing CPUs, memory, PCIe, storage, firmware, and accelerators, debugging hardware-software interactions, automating validation across platforms, analyzing failures, and improving observability and fault isolation. Collaboration with hardware, firmware, software, and validation teams is central to supporting silicon bring-up and platform reliability.
Top Skills: ArmBmcCC++DdrHbmLinuxNumaPciePythonRas
Yesterday
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Validate signal and power integrity for advanced compute platforms through hands-on measurement, electrical compliance testing, troubleshooting, and simulation correlation. Develop measurement plans and fixtures, measure high-speed interconnect performance, perform calibration and de-embedding, correlate results with simulations, collaborate with silicon, package, board, system, and vendor teams, and produce validation and compliance reports.
Top Skills: Bit Error Rate Testers (Berts)DdrEthernetHigh-Speed OscilloscopesI²CMatlabPcbPciePerformance Network Analyzers (Pnas)PythonS-ParametersSerdesSpiTime-Domain Reflectometers (Tdrs)Vector Network Analyzers (Vnas)
6 Days Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Semiconductor
Analyze and optimize AI training and inference workloads across distributed systems. Design benchmarks, profile performance, identify bottlenecks, and optimize communication software using MPI, NCCL, UCX, libfabric, and RDMA. Translate modeling and benchmarking results into validated system improvements while coordinating technical work across hardware, software, networking, and architecture teams.
Top Skills: C++LibfabricMlperfMpiNcclPythonRdmaUcx

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account