Performance Engineer

Acceler8 Talent; Massachusetts; Híbrido; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Benefits

Meaningful equity

Descripción de la vacante

Acceler8 Talent is seeking a Member of Technical Staff in Cambridge, MA, hybrid 3 days per week, with remote options across the USA & Canada. You will join a team building high-performance AI infrastructure, focusing on identifying bottlenecks, implementing fixes, and proving improvements in distributed training, large-scale inference, and HPC environments.

The role emphasizes profiling, end-to-end optimization, and delivering tangible performance gains, with competitive salary, benefits, and

Formación

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

Responsabilidades

• Analyze performance bottlenecks across distributed workloads.
• Implement optimizations to improve throughput and latency.
• Collaborate with AI infra teams on scalable performance improvements.

Conocimientos

Whole-stack performance

C++/CUDA/Triton

Profiling workloads

Cross-node optimization

Descripción del empleo

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.

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