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HomeCompaniesOptiverMachine Learning Performance Engineer

Machine Learning Performance Engineer

Optiver · New York, New York · Active · $200,000–$200,000 / year · Greenhouse

Job facts

FieldValue
CompanyOptiver
TitleMachine Learning Performance Engineer
Normalized title-
Department / teamSoftware
LocationNew York, NY, United States
Work model-
Employment type-
Salary$200,000–$200,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-02-05 / 2026-05-29
Changed / last seen2026-06-04 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Optiver.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Software.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyOptiver
Source871c174c-9a8d-46cd-a00a-519db0de0ce4
ATS providerGreenhouse

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 ID92010dec0044eebee6f4e0a31c4e9c39aaa135b3
Org IDf769ee6c-ad00-44c4-a830-9555685282a2
Source ID871c174c-9a8d-46cd-a00a-519db0de0ce4
Board ID871c174c-9a8d-46cd-a00a-519db0de0ce4
Providergreenhouse
Provider Job Key8405271002
TitleMachine Learning Performance Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York, New York
DepartmentSoftware
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary RawSalary Range $200,000 — $200,000 USD
Salary Min200,000
Salary Max200,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://www.optiver.com/join-us/jobs/8405271002/?gh_jid=8405271002
Apply URLhttps://www.optiver.com/join-us/jobs/8405271002/?gh_jid=8405271002
First Seen At2026-05-29 23:00:52Z
Last Seen At2026-06-06 07:33:59Z
Last Checked At2026-06-06 07:33:59Z
Last Changed At2026-06-04 11:15:42Z
Inactive At
Source Posted At2026-02-05 06:40:18Z
Source Updated At2026-06-03 19:41:44Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=optiverus/date=2026-06-06/2026-06-06T07-33-59-416Z-8c2fe71c454900af4ca722179889b98211e5a59997f9aacdac212c7c49bc00be.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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