Senior Research Infrastructure Engineer

About HUD

About the role

Were looking for a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. Youll build the software and infrastructure that enable HUDs researchers to iterate on environments collect trajectories and evaluate model behavior.

Youll work closely with research engineers to understand the questions theyre investigating identify bottlenecks in experimentation and turn research code into reliable reusable systems. Youll own the tools pipelines and execution infrastructure that help researchers explore ideas reproduce results and scale promising approaches.

Responsibilities

• Build infrastructure that supports research on agent behavior through reliable environment execution trajectory collection and evaluation at scale

• Develop reusable tools APIs and pipelines that let researchers launch experiments manage datasets and configurations and inspect trajectories and evaluation results

• Turn research prototypes and experimental workflows into tested documented software that researchers can reuse and extend

• Design experiments to understand model behavior agent failure modes and data quality issues

• Make experimentation faster more reproducible and more cost-efficient by improving orchestration observability and recovery from failed runs

• Partner with research and engineering to translate evolving research needs into infrastructure priorities and architecture decisions owning systems from implementation through ongoing operation

Experience

You may be a good fit if you have:

• Strong software engineering fundamentals and proficiency in Python with a record of building maintainable systems used by others

• Ownership of backend services data pipelines developer tools or infrastructure from design through deployment and operation

• Sound judgment about APIs data models asynchronous workloads and the tradeoffs involved in building reliable systems

• Comfort with Docker Linux cloud infrastructure and debugging failures across application code and the systems it runs on

• The ability to work closely with researchers understand experimental workflows and translate open-ended research needs into useful software

• Independent technical judgment to set priorities make pragmatic architecture decisions and improve systems as their users and workloads grow

Strong candidates may also have:

• Working knowledge of reinforcement learning including environments rollouts reward signals and evaluation workflows

• Experience building research infrastructure ML pipelines or tools that made a research team faster

• Familiarity with distributed job execution containerized environments or high-concurrency workloads

• A track record of improving experiment reproducibility data lineage or visibility into complex pipeline failures

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they dont meet all criteria.

Team & company details

• Team Size : 25 people currently mostly full-time in-person but some remote.

• Our team: Our team brings together five International Olympiad medalists across IOI ILO and IPhO researchers published at NeurIPS and ICLR and engineers and researchers from Google DeepMind Amazon AWS Meta Qwen GLM and Mercor. It also includes operators from BCG and Uber the first security hire at one of the largest crypto exchanges serial AI startup founders former quant researchers artists and the former #1 ranked Catan player in the world.

• Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics

• Employment : Full-time.

• Location : We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.

• Visa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

• Timeline : Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

What we offer

• Competitive compensation

• 100% covered top-of-the-line medical dental and vision (US and Singapore employees)

• Lunch and dinner for in-office employees

• Company-wide holiday break (Christmas Eve to New Years Day) on top of PTO and paid holidays

• 401k with a 4% match

• Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)

• Unlimited* access to tokens for ChatGPT Claude Code Cursor etc. * By unlimited we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

• Two top-floor offices in San Franciscos Union Square and Singapores Raffles Place

• Annual travel budget to visit either office

Compensation

Actual offers are adjusted for experience and location but our base salary bands are

• San Francisco (and other major US cities): $175000 - $260000

• Singapore: $130000 - $195000

• Rest of world: $105000 - $195000

Due to high volume we may not actively respond to every application but feel free to contact us at or elsewhere if we missed your application!

Required Experience:

Senior IC