Machine Learning Performance Engineer
janestreet · New York, New York, United States
- Posted
- 24 days ago
- Last confirmed live
- 1 day ago
What this role involves
This role focuses on optimizing the performance of machine learning models for both training and inference. The engineer will work with low-level GPU and systems programming, using a whole-systems approach to improve efficiency. It is part of Jane Street's growing ML team, which supports the firm's trading operations.
Skills this posting asks for
- ptx
- sass
- cuda
- triton
- cutlass
- cub
- thrust
- cudnn
- cublas
- cuda gdb
- nsight systems
- nsight compute
- infiniband
- roce
- gpudirect
- pxn
- nvlink
- nccl
- mpi
- cuda graph launch
- tensor core arithmetic
- warp-level synchronization
- asynchronous memory loads
- ml techniques
From the employer’s posting
We are looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-…
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