Staff AI Performance Engineer

Graphcore; Austin (TX); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) retirement plan

Flexible Spending Accounts (FSAs)

Health Savings Accounts (HSAs)

Employee Assistance Programme (EAP)

Job summary

Graphcore in Austin, Texas is seeking a skilled engineer to optimize performance across ARM-based architectures and large-scale distributed systems. This role will engage with the System Engineering Performance team to enhance AI workloads effectively.

The ideal candidate will have a BS/MS in a related field, alongside strong programming skills in C++ and Python, as well as experience with distributed systems and HPC optimizations. Graphcore offers flexible working and a comprehensive benefits package to support your health and wellbeing.

Qualifications

• Experience with profiling and optimizing HPC or AI/ML workloads.
• Familiarity with ML benchmarks such as MLPerf.
• Understanding of ARM architectures and toolchains.

Responsibilities

• Analyze ML models’ compute and memory requirements using roofline analysis and simulations.
• Collaborate across hardware and software teams to optimize large-scale AI workloads.
• Benchmark, monitor, and troubleshoot system performance across distributed systems.
• Develop high-quality, ARM-compatible code and documentation.

Skills

C++

Python

Distributed systems

Communication libraries (MPI, NCCL, UCX)

HPC or AI/ML workload optimization

Education

BS/MS in Computer Science, Electrical Engineering, or related field

Tools

ML frameworks (e.g., PyTorch, TensorFlow)

HPC networking technologies (InfiniBand, RoCE)

Job description

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. 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 enjoys a culture of continuous learning and constant innovation.

Job Summary

Graphcore’s AI/ML training and inference infrastructure is rapidly scaling to meet the growing demands of AI workloads across mobile, edge, and datacenter environments. This role focuses on optimizing performance across ARM-based architectures and large‑scale distributed systems, ensuring efficiency, scalability, and reliability across the full hardware‑software stack.

The Team

The System Engineering Performance team architects and optimizes high‑performance infrastructure for large‑scale datacenter deployments. The team works across hardware, software, networking, and system architecture to deliver cutting‑edge AI solutions and ensure optimal system performance at scale.

Responsibilities and Duties

• Analyze ML models’ compute and memory requirements using roofline analysis and simulations
• Collaborate across hardware and software teams to optimize large‑scale AI workloads
• Benchmark, monitor, and troubleshoot system performance across distributed systems
• Optimize communication stacks including MPI, NCCL, UCX, RDMA, and networking fabrics
• Profile and optimize AI workloads, focusing on performance bottlenecks
• Develop high‑quality, ARM‑compatible code and documentation

Candidate Profile

Essential:

• BS/MS in Computer Science, Electrical Engineering, or related field
• Experience with distributed systems and communication libraries (MPI, NCCL, UCX, libfabric)
• Strong programming skills in C++ and Python
• Experience profiling and optimizing HPC or AI/ML workloads
• Familiarity with ML benchmarks such as MLPerf

Desirable:

• Experience with GPUs or accelerated computing architectures
• Knowledge of HPC networking and interconnect technologies (InfiniBand, RoCE)
• Familiarity with ML frameworks such as PyTorch or TensorFlow
• Understanding of ARM architectures and toolchains
• Strong debugging, profiling, and performance optimization skills

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.