Performance Engineer

Acceler8 Talent

Boston (MA)

Hybrid

USD 140,000 - 190,000

Full time

2 days ago
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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

Member of Technical Staff, Performance Engineering | AI Infrastructure | Cambridge, MA / Remote USA & Canada

I’m working on a really exciting opportunity for aPerformance Engineerto join a team building high-performance AI infrastructure.

This is all about finding what's slowing a workload down, fixing it, andproving the improvement.

You could be working across:
  • Distributed training
  • Large-scale inference
  • Multi-node HPC
  • C++ / CUDA / Triton
  • Profiling, bottleneck analysis and end-to-end optimisation
The team is ideally looking for someone with:
  • 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

Cambridge, MA - hybrid 3 days/week

Remote also available across the USA & Canada

If you enjoy digging into performance problems and squeezing more out of complex systems, I’d love to hear from you.

Competitive salary + benefits + meaningful early-stage equity.

#PerformanceEngineering #CUDA #Triton #HPC #AIInfrastructure #DistributedSystems #GPU #MachineLearning #TechJobs

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