or apply directly on Optiver 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Optiver 's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Optiver 's roles list one
- Ghost-job risk at Optiver
- high 166 stale, 3 reposted of 168 open
- Hiring momentum
- 222 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Optiver 's own greenhouse board since 2026-08-03. Full hiring picture for Optiver .
About this role
As a Machine Learning Performance Engineer at Optiver, you will focus on building and enhancing scalable training and inference pipelines for deep learning within a pivotal AI initiative. Your role involves diving into the internals of open-source deep learning frameworks, identifying performance bottlenecks, and collaborating with researchers and engineers to improve trading strategies. You will also gain a deep understanding of trading systems as part of your responsibilities.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Optiver as an employer.
What you need
- 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
Nice to have
- 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 get
- Highly competitive compensation package
- 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
Worth weighing
- No salary listed beyond the base salary range of $200,000
- The role may involve working with legacy systems depending on the existing infrastructure
- Focus on performance engineering may limit exposure to broader machine learning applications
Summarised from Optiver 's posting. Read the full original.
Listed by Optiver on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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