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Principal AI Performance Engineer

Lead performance investigations for large-scale AI systems at Graphcore in Austin.

Location
Austin, Texas, United States
Compensation
Not disclosed
Level
principal
Type
full time · On-site

Posted by employer 1 day ago

First seen on Joblaze 7 hours ago

Last verified on the company career page 7 hours ago

Apply at Graphcore → Save job Scanned from graphcore.ai

What you'll build

  • Define performance direction for AI systems
  • Analyze and optimize AI training and inference workloads
  • Lead performance investigations
  • Set measurement standards
  • Guide distributed communication strategy

Must have

  • Deep experience profiling and optimizing AI workloads
  • Proven technical leadership in performance-engineering
  • Expert C++ and Python skills
  • Expert understanding of distributed systems behavior
  • Ability to define benchmarks and measurement practices

Nice to have

  • Experience with MPI
  • Experience with NCCL
  • Experience with UCX
  • Experience with libfabric
  • Experience with MLPerf

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

Mental Health Resources Paid Vacation Professional Development Resources Flexible Working Hours Health Insurance Retirement Savings

Joblaze summary

In the role of Principal AI Performance Engineer at Graphcore, the individual will focus on defining performance strategies for large-scale AI systems, analyzing and optimizing workloads across various technical domains. Key skills include expertise in C++ and Python, along with a strong background in profiling AI and high-performance computing workloads. This position is suited for seasoned professionals with a proven track record in performance engineering and system architecture, who can navigate complex technical challenges and influence cross-team strategies.

Joblaze insights

  • Listed today — first seen on Joblaze October 11, 2026. Last confirmed on Graphcore's careers page October 11, 2026.
  • Python appears in 45.6% of 57 comparable principal ai/ml roles in United States; NCCL appears in 1.8% of 57 comparable principal ai/ml roles in United States.

Quick facts

Is the Principal AI Performance Engineer role remote?
No — this is an on-site role in Austin, Texas, United States.
Where is the role based?
Graphcore is hiring for this position in Austin, Texas, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, C++, High-Performance Computing, MLPerf, MPI, Machine Learning.
What seniority level is this role?
Graphcore targets principal-level candidates for this position.
Is this full-time or contract?
Full-time for this Principal AI Performance Engineer role at Graphcore.

From the original posting

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’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.

Standard company text repeated across Graphcore's postings is omitted here.

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