Principal AI Performance Engineer
Salary not listed • Austin, Texas, United States • Full-time
Posted 22d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
About the job
As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads, shaping decisions across hardware, software, networking, and system architecture. You will lead complex performance investigations, from model behavior to multi-node scaling, translating profiling, benchmarking, and modeling evidence into technical roadmaps and engineering priorities. This role offers rare influence across AI infrastructure at data center scale, guiding strategy, resolving tradeoffs, and raising performance-engineering standards across the organization.
Responsibilities
- Define how AI training and inference workloads are analyzed and optimized.
- Lead performance investigations for AI systems.
- Translate performance data into technical roadmaps and engineering priorities.
- Set measurement standards for AI systems.
- Guide distributed communication strategy.
- Review critical C++ and Python tools.
- Architect, evaluate, and optimize high-performance infrastructure for large-scale data center deployments.
- Guide strategy, resolve complex tradeoffs, and raise performance-engineering standards.
Requirements
- Deep experience profiling and optimizing AI, machine learning, or high-performance computing workloads at scale.
- Proven technical leadership in complex performance-engineering or system-architecture initiatives.
- Expert C++ and Python skills, including experience with 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.
Benefits
- Competitive compensation
- Medical, dental, and vision coverage
- Mental health, wellness, and employee assistance resources
- Retirement savings benefits and company contributions
- Paid vacation, sick time, company holidays, and parental or family leave
- Life insurance and short-term or long-term disability coverage
- Flexible working hours
- Hybrid working arrangements
- Professional-development resources and learning programs