Home › Companies › Optiver › Machine Learning Performance Engineer
Machine Learning Performance Engineer
Optiver · New York, New York · Active · $200,000–$200,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Optiver |
| Title | Machine Learning Performance Engineer |
| Normalized title | - |
| Department / team | Software |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | - |
| Salary | $200,000–$200,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-02-05 / 2026-05-29 |
| Changed / last seen | 2026-06-04 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Optiver. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Software. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Optiver |
| Source | 871c174c-9a8d-46cd-a00a-519db0de0ce4 |
| ATS provider | Greenhouse |
Description
Optiver is a seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.
What you'll do:
Build scalable and robust training and inference pipelines for deep learning
Dive into internals of open-source deep learning frameworks and enhance their functionality
Identify and eliminate performance bottlenecks
Collaborate closely with researchers and other engineers
Develop an in-depth understanding of trading systems
What you’ll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you’ll receive:
The opportunity to work alongside best-in-class professionals from over 40 different countries
A 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
Who you are:
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
Who we are:
Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.
Base Salary Range $200,000 — $200,000 USD
Full job record
| Job ID | 92010dec0044eebee6f4e0a31c4e9c39aaa135b3 |
| Org ID | f769ee6c-ad00-44c4-a830-9555685282a2 |
| Source ID | 871c174c-9a8d-46cd-a00a-519db0de0ce4 |
| Board ID | 871c174c-9a8d-46cd-a00a-519db0de0ce4 |
| Provider | greenhouse |
| Provider Job Key | 8405271002 |
| Title | Machine Learning Performance Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, New York |
| Department | Software |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | Salary Range $200,000 — $200,000 USD |
| Salary Min | 200,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://www.optiver.com/join-us/jobs/8405271002/?gh_jid=8405271002 |
| Apply URL | https://www.optiver.com/join-us/jobs/8405271002/?gh_jid=8405271002 |
| First Seen At | 2026-05-29 23:00:52Z |
| Last Seen At | 2026-06-06 07:33:59Z |
| Last Checked At | 2026-06-06 07:33:59Z |
| Last Changed At | 2026-06-04 11:15:42Z |
| Inactive At | — |
| Source Posted At | 2026-02-05 06:40:18Z |
| Source Updated At | 2026-06-03 19:41:44Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=optiverus/date=2026-06-06/2026-06-06T07-33-59-416Z-8c2fe71c454900af4ca722179889b98211e5a59997f9aacdac212c7c49bc00be.json |
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