Systems ML Engineer - Edge/Cloud Performance Architect

Transfyr Bio; Cambridge (MA); On-site; USD 160,000 - 230,000; Full time

Job summary

Transfyr Bio in Cambridge, MA is seeking a Systems ML Engineer to optimize training and inference across cloud and edge deployments. You will profile bottlenecks, implement kernel-level improvements, and collaborate with research and perception teams to accelerate model performance while ensuring production reliability.

The role spans deep ML systems work and DevOps responsibilities, with opportunities to shape training infrastructure and contribute to the company's growing multimodal data

Qualifications

• Experience profiling and optimizing large-scale models for training and inference.
• Ability to write custom GPU kernels when off-the-shelf ops are not fast enough.
• Experience managing cloud and edge infrastructure in real lab environments.

Responsibilities

• Profile and optimize training and inference workloads across cloud and edge.
• Develop and maintain high-performance GPU kernels (CUDA/Triton).
• Design data pipelines and manage distributed training workflows.
• Ensure production reliability with monitoring, versioning, and rollback.

Skills

ML systems engineering

Profiling & optimization

GPU kernels

Cloud & edge deployment

Distributed training

Performance engineering

Tools

Nsight

PyTorch Profiler

PyTorch Distributed

Job description

Transfyr Bio in Cambridge, MA is seeking a Systems ML Engineer to optimize training and inference across cloud and edge deployments. You will profile bottlenecks, implement kernel-level improvements, and collaborate with research and perception teams to accelerate model performance while ensuring production reliability.

The role spans deep ML systems work and DevOps responsibilities, with opportunities to shape training infrastructure and contribute to the company's growing multimodal data