AI Infrastructure Performance Engineer — Remote/Hybrid

Acceler8 Talent; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Hybrid work model

Job summary

Acceler8 Talent is seeking a highly skilled Performance Engineer to join a team building high-performance AI infrastructure in Cambridge, MA. The role focuses on identifying bottlenecks, optimizing workloads, and proving improvements across distributed training, large-scale inference, and HPC environments.

Hybrid in Cambridge with remote options across the USA & Canada. The ideal candidate has 3+ years in performance work and systems programming in C++, CUDA or Triton, with strong profiling and

Qualifications

• 3+ years of whole-stack performance work.
• 3+ years of systems programming in C++, CUDA or Triton.
• Experience profiling complete workloads and fixing the actual bottleneck.
• Experience improving a training, serving or simulation workload across nodes.

Skills

Performance engineering

C++

CUDA

Triton

Profiling

Job description

Acceler8 Talent is seeking a highly skilled Performance Engineer to join a team building high-performance AI infrastructure in Cambridge, MA. The role focuses on identifying bottlenecks, optimizing workloads, and proving improvements across distributed training, large-scale inference, and HPC environments.

Hybrid in Cambridge with remote options across the USA & Canada. The ideal candidate has 3+ years in performance work and systems programming in C++, CUDA or Triton, with strong profiling and