Jane Street · 5 months ago
Machine Learning Performance Engineer
Jane Street is a financial firm that leverages machine learning as a critical component of its global business. The role involves optimizing the performance of machine learning models in a fast-paced trading environment, focusing on efficient training and low-latency inference.
FinanceFinancial ServicesTrading Platform
Responsibilities
Optimizing the performance of our models – both training and inference
Improving straightforward CUDA
Ensuring our platform makes sense even at the lowest level
Qualification
Required
An understanding of modern ML techniques and toolsets
The experience and systems knowledge required to debug a training run's performance end to end
Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy
Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute
Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads
Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters
An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools
Company
Jane Street
Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam.
H1B Sponsorship
Jane Street has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (33)
2024 (23)
2023 (32)
2022 (27)
2021 (20)
2020 (22)
Funding
Current Stage
Late StageRecent News
Crunchbase News
2025-12-17
alleywatch.com
2025-12-09
2025-12-09
Company data provided by crunchbase