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Machine Learning Performance Engineer

Optiver
🇺🇸New YorkMediorFull-time$200kPosted February 5, 2026

About the Role

Optiver is seeking a Machine Learning Performance Engineer to join a pivotal AI initiative, focusing on advanced machine learning infrastructure and futures trading strategies. In this role, you will build scalable training and inference pipelines for deep learning, optimize performance across systems, and collaborate with researchers and engineers to enhance machine learning frameworks and tackle complex challenges in financial trading systems.

Requirements

  • Strong knowledge of low-level GPU programming with CUDA, including Tensor Cores, cooperative groups, graphs, and warp-level intrinsics
  • Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Deep understanding of computer architecture
  • Experience in C++ and Python
  • Experience with JAX ecosystem (XLA, Flax, etc.)
  • Familiarity with GPU libraries and tools such as Triton, CUB, cuDNN, and cuBLAS
  • Linux system programming experience
  • Experience with large-scale distributed training
  • Contributions to open-source projects related to data science and machine learning

What You'll Get

  • $200k base salary
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more