Graphcore
AI & Machine LearningDirect Greenhouse career site

Principal AI Performance Engineer

Location
Austin, TX · Hybrid
Job type
Full-time
Level
Executive
Listed
30 days ago

Skills & highlights for this role

  • C++
  • Python
  • MPI
  • NCCL
  • distributed communication scaling

Also useful

  • UCX
  • libfabric
  • MLPerf

Stated benefits & perks

  • Medical
  • Dental
  • Vision
  • Parental leave

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.

Additional information

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.
  • 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.

Read the original posting

From Graphcore's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Principal AI Performance Engineer job at Graphcore located?

This Principal AI Performance Engineer position at Graphcore is located in Austin, TX (Hybrid). Always check Graphcore's application page for specific state eligibility or relocation policies.

What qualifications are required for Principal AI Performance Engineer at Graphcore?

For the Principal AI Performance Engineer role, Graphcore highlights experience with C++, Python, MPI, NCCL, distributed communication scaling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Principal AI Performance Engineer position at Graphcore?

This listing links directly to Graphcore's Greenhouse application page. You can apply directly on Graphcore's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.