Systems ML Engineer: Performance, Cloud/Edge, Equity

Breakout Ventures; Cambridge (MA); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Equity

Lunch subsidy

Health insurance

401K with matching

Job summary

Transfyr, a Cambridge, MA startup building physical AI for science, seeks a Systems ML Engineer to optimize training and inference across cloud and edge.

You will profile bottlenecks, implement kernel fusion, design data pipelines, develop custom GPU kernels, and ensure secure, reliable production deployments.

Join a fast-moving team solving hard problems at the intersection of science, perception, and robotics, with strong collaboration and growth opportunities.

Qualifications

• Demonstrated expertise in ML systems engineering and production deployment.
• Experience profiling and optimizing large-scale models for training and inference.
• Ability to design and implement high-performance GPU kernels (CUDA/Triton).
• Strong cross-functional collaboration with research, perception, and operations.

Responsibilities

• Profile and optimize data loading, gradient compute, and communication to reduce step time.
• Improve distributed training pipelines with PyTorch Distributed.
• Develop high-performance GPU kernels in CUDA or Triton.
• Design and optimize data loading and inference pipelines for multimodal lab data.
• Manage deployment across cloud and edge while controlling costs.
• Debug and resolve performance bottlenecks and production issues.
• Collaborate with research and perception teams to ensure reliable data flow.

Skills

ML systems engineering

Profiling & optimization

Cross-functional collaboration

Ambiguity tolerance

Tools

PyTorch Distributed

CUDA

Triton

Nsight

Cloud & edge infrastructure

Job description

Transfyr, a Cambridge, MA startup building physical AI for science, seeks a Systems ML Engineer to optimize training and inference across cloud and edge.

You will profile bottlenecks, implement kernel fusion, design data pipelines, develop custom GPU kernels, and ensure secure, reliable production deployments.

Join a fast-moving team solving hard problems at the intersection of science, perception, and robotics, with strong collaboration and growth opportunities.