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Software Engineer - AI Lab

Optiver

New York, NYJob$200K/yrPosted todayStill listed today

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At a glance

Compensation
$200K/yr
Location
New York, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Software Engineer will join Optiver’s research-focused AI Lab, which develops and operates machine-learning-driven trading strategies. The role spans production software systems, inference pipelines, GPU computing, and infrastructure for testing and monitoring models. Engineers investigate issues across research and production and own solutions from design through deployment and support, collaborating with researchers and other technical stakeholders.

Skills & qualifications

RequiredNice to have

Skills

Large-Scale Systems, requiredCPU/GPU Optimization, requiredMemory Management, requiredProfiling, requiredParallel Computing, requiredMachine Learning Fundamentals, requiredDebugging, requiredC++, requiredPython, requiredSoftware Performance Optimization, requiredCollaboration, requiredProduction ML Systems, nice to haveML Inference Systems, nice to haveModel Serving, nice to havePyTorch, nice to haveJAX, nice to haveGPU Computing, nice to haveCUDA, nice to haveTriton, nice to haveCustom Kernel Development, nice to haveHigh-Performance Computing, nice to haveDistributed Systems, nice to haveLow-Latency Systems, nice to haveReal-Time Data Processing, nice to haveQuantitative Trading, nice to haveFinancial Markets, nice to have

Qualifications

3+ Years Software Engineering Experience, required

Benefits

401(k) Match
Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Full job description

About the AI Lab

The AI Lab is a research-focused team that applies frontier machine learning techniques to trading. The AI Lab develops and runs its own ML-driven trading strategies, owning the full lifecycle from research and experimentation through production and validation. Our developers work across disciplines - developing trading strategies and sophisticated machine learning systems, building infrastructure for reliable and efficient execution, and validating strategy correctness.

What You’ll Do

Members of AI Lab interact with a variety of domains on a daily basis. One day you may have an idea for a new trading strategy while the next you might be cutting trading latencies. A successful member of the team isn’t expected to be an expert in all areas initially but should have the willingness to jump in and grow in varied directions. Those areas might include, but are no means limited to:

  • Designing, building, and deploying large-scale software systems that support the stable and efficient execution of ML-driven trading strategies.

  • Developing and optimizing inference pipelines and computationally intensive workloads, with a focus on latency, throughput, and reliability.

  • Working across Python, C++, and GPU-based computing environments to integrate research models into production infrastructure.

  • Investigating and resolving complex issues across research and production, including discrepancies in model outputs, data processing, system performance, and execution.

  • Building tools and infrastructure that enable yourself and others to test, deploy, monitor, and iterate on models and strategies efficiently.

  • Taking end-to-end ownership of engineering solutions, from system design and implementation through deployment, optimization, and production support.

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

  • 3-7 Years of software engineering experience with demonstrated success designing, building, and shipping complex, large-scale production systems.

  • Familiarity with CPU/GPU performance optimization, memory management, profiling, and parallel computing.

  • Strong understanding of machine learning fundamentals.

  • Demonstrated ability to investigate, debug, and resolve complex technical problems across multiple layers of a software system.

  • Strong programming skills in C++ and/or Python, with an emphasis on efficient, reliable, and maintainable software.

  • Experience profiling and optimizing software performance, identifying bottlenecks, and improving computational efficiency.

  • Ability to collaborate closely with researchers and other technical stakeholders to translate experimental ideas into production-ready solutions.

  • An eagerness to learn and be the best at what you do. A strong growth mindset is valued highly at Optiver, and we strongly believe in continuous improvement in both systems and people.

Particularly Relevant Experience

Experience in one or more of the following would be especially valuable:

  • Building, deploying, or optimizing machine learning systems in production.

  • High-performance ML inference systems or production model-serving infrastructure.

  • Machine learning frameworks such as PyTorch or JAX.

  • GPU computing, CUDA, Triton, or custom kernel development.

  • High-performance computing (HPC), distributed systems, or large-scale compute infrastructure.

  • Low-latency systems, real-time data processing, or other performance-critical applications.

  • Working directly with ML or quantitative researchers to productionize models and algorithms.

  • Quantitative trading, financial markets, or other computationally intensive, data-driven environments, though this is by no means required.

Who We Are

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

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 position will also be eligible for a discretionary bonus and Optiver’s benefits package with the benefits listed above.

Base Salary Range $200,000—$200,000 USD

How this job compares

Set against the 39,832 open Software Engineer jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This posting$200K/yr
  • New York median$158–225K/yr2,230 salary ranges
  • US median$132–214K/yr31,908 salary ranges

This rate, $200K, is 6% above the New York median midpoint ($189K) — in the middle half of Software Engineer salary ranges in New York.

Openings
Olive Jobs lists 2,852 open Software Engineer jobs in New York and 39,832 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 3 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (32,800 postings).
Education
12,437 of the 39,832 open Software Engineer jobs (31%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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