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Senior Research Infrastructure Engineer
hud (YC W25). Build infrastructure for research on agent behavior, including reliable environment execution, trajectory collection, and evaluation at scale .
Posted 10/23/2026full-timeRemote • California • United StatesSenior💰 $175,000 - $260,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong software engineering fundamentals with proficiency in Python, focusing on building maintainable systems and developing reusable tools and APIs for research infrastructure. Capable of translating research needs into effective software solutions while ensuring experiment reproducibility and efficiency.
Highest-signal resume keywords
Python ProficiencyBackend Services OwnershipResearch Infrastructure DevelopmentDocker and Linux ExperienceReinforcement Learning Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering FundamentalsAPIs DevelopmentData PipelinesExperiment DesignAsynchronous WorkloadsExperiment ReproducibilityData LineagePipeline Failure VisibilityTechnical JudgmentArchitecture Decisions
Soft Skills
Independent Technical JudgmentCollaboration with Researchers
Tools & Technologies
DockerLinuxCloud InfrastructureDebugging ToolsContainerized Environments
Industry Keywords
Agent Behavior ResearchML PipelinesHigh-Concurrency WorkloadsExperimentation SpeedCost Efficiency
Tech Stack
Tools & technologiesCloudDockerLinuxPython
About the role
Key responsibilities & impact- Build infrastructure for research on agent behavior, including reliable environment execution, trajectory collection, and evaluation at scale
- Develop reusable tools, APIs, and pipelines for launching experiments, managing datasets and configurations, and inspecting trajectories and evaluation results
- Turn research prototypes and experimental workflows into tested, documented, reusable software
- Design experiments to understand model behavior, agent failure modes, and data quality issues
- Improve experimentation speed, reproducibility, and cost efficiency through orchestration, observability, and recovery from failed runs
- Partner with research and engineering to translate research needs into infrastructure priorities and architecture decisions
- Own systems from implementation through ongoing operation
- Accelerate research on training and evaluating frontier AI agents
Requirements
What you’ll need- Strong software engineering fundamentals
- Proficiency in Python
- Record of building maintainable systems used by others
- Experience owning backend services, data pipelines, developer tools, or infrastructure from design through deployment and operation
- Sound judgment about APIs, data models, asynchronous workloads, and reliability tradeoffs
- Comfort with Docker, Linux, cloud infrastructure, and debugging failures across application code and systems
- Ability to work closely with researchers and translate open-ended research needs into useful software
- Independent technical judgment for prioritization and pragmatic architecture decisions
- Working knowledge of reinforcement learning, including environments, rollouts, reward signals, and evaluation workflows may be beneficial
- Experience building research infrastructure, ML pipelines, or research productivity tools may be beneficial
- Familiarity with distributed job execution, containerized environments, or high-concurrency workloads may be beneficial
- Experience improving experiment reproducibility, data lineage, or pipeline failure visibility may be beneficial
- Technical aptitude and learning potential prioritized over years of experience
Benefits
Comp & perks- 100% covered top-of-the-line medical, dental, and vision for US and Singapore employees
- Lunch and dinner for in-office employees
- Company-wide holiday break from Christmas Eve to New Year’s Day, on top of PTO and paid holidays
- 401k with a 4% match
- Equinox membership for US employees
- Commuter benefits for US employees
- Health/wellness stipend for Singapore employees
- Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
- Annual travel budget to visit either office
- Relocation and visa support for strong full-time candidates to the US or Singapore