Research Engineer, Robotics Data

HUD • Singapore, CA

1d • Hybrid

About The Position

HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.

We’re looking for a Research Engineer for our Robotics team to develop the datasets and evals that make robotics data useful for training and evaluating embodied AI systems. You’ll translate open-ended research needs into data specifications, build methods to validate data, and run experiments to understand which data and structures improve model performance.

Requirements

• Experience in robotics, robot learning, embodied AI, or closely related multimodal research
• Proficiency in Python and experience building data processing, analysis, or evaluation tools
• Experience turning research questions into dataset specifications, experiments, and measurable quality criteria
• Strong understanding of what makes robotics data useful for training or evaluation—and where it can be misleading
• Attention to detail and the ability to spot subtle errors, coverage gaps, and failure modes in complex data
• Experience building research tools or pipelines without a fully prescribed roadmap

Nice To Haves

• Worked with robot trajectories, demonstrations, video, sensor data, simulation, or other multimodal robotics datasets
• Experience with imitation learning, reinforcement learning, or vision-language-action models
• Worked in unstructured problem spaces and take ownership from early research through production deployment
• Early-stage startup experience and strong communication skills for collaboration across teams and time zones

Responsibilities

• Research the data needs of robot learning and physical AI systems, and turn them into concrete dataset and evaluation specifications
• Define data schemas, annotations, ground truth, and quality standards across robotics data types
• Design collection and review protocols that external data providers can execute reliably
• Build tools and validation workflows to audit datasets, identify quality issues, and give providers actionable feedback
• Run experiments and analyze model behavior to understand how data quality, coverage, and structure affect performance
• Work with HUD’s research and engineering teams, and when needed with data vendors and buyers, to improve robotics data offerings

Benefits

• Competitive compensation
• 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
• Lunch and dinner when you’re in the office (in-office employees)
• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
• Equinox membership
• 401k
• Commuter benefits (US employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
• Support for relocation and visas for strong full-time candidates to the US or Singapore

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed