Machine Learning Systems Engineer at Janestreet

Location: New York, New York
Type: Full-time
Level: not_specified
Posted: Jul 30, 2026

Description

Jane Street is hiring an engineer to join its ML team, focused on optimizing model training and inference performance across the full stack of a high-performance trading environment. The role emphasizes low-level systems programming, CUDA and GPU optimization, distributed training infrastructure, networking, storage, and end-to-end debugging of performance issues. The posting seeks candidates with strong ML systems knowledge, familiarity with GPU and distributed compute tools, and an inventive, questioning approach to solving complex technical problems.

Required Skills

Machine learning
Performance debugging
CUDA/GPU programming
CUDA debugging
GPU libraries
GPU networking
Distributed training

Additional Information

Preferred Qualifications: Experience with modern ML toolsets and end-to-end training performance debugging
Deep GPU architecture knowledge including PTX, SASS, warps, Tensor Cores, and memory hierarchy
Experience with CUDA profiling and debugging tools
Familiarity with major GPU and CUDA libraries
Knowledge of GPU cluster networking and interconnects
Understanding of distributed GPU training collectives