Software Engineer

About Us

We are a well-capitalized stealth startup building robotic foundation models and world models for Physical AI. Founded by researchers from leading AI labs, our team works across robot hardware, data, infrastructure, and machine learning.

The Role

We are hiring software engineers to build the systems around our robots: the data and infrastructure that our models are trained on, the tools our researchers and operators use every day, and the product our partners will eventually depend on.

We are a small team, so everyone works broadly. What differs between our engineers is where they go deep. We have three focus areas open, described below. You do not need to match all three, and you do not need to decide before you apply.

This is an implementation role rather than a research role. You will not be designing models; you will be building the systems that let us train, evaluate, and deploy them.

Responsibilities

Every engineer on the team will:

• Design, build, and operate production software that our research and operations work depends on.

• Own systems end to end, from the conversation that surfaces the need through deployment, monitoring, and iteration.

• Work directly with ML researchers, robotics engineers, and robot operators, who all sit in the same room as you.

• Debug across boundaries, following a problem through services, storage, network, and hardware until it is actually understood.

• Build the logging, monitoring, and diagnostics needed to know whether a system is healthy.

• Re-architect what we have ahead of each order-of-magnitude increase in scale.

• Use AI coding agents to accelerate implementation, testing, debugging, and documentation.

• Improve reliability, performance, and maintainability as a matter of routine, not as a separate project.

Qualifications

• BS or MS in Computer Science, Software Engineering, Computer Engineering, or a related field, or equivalent practical experience.

• Experience building and shipping production software that other people depend on.

• Strong proficiency in Python, plus Linux and Git.

• Experience designing and operating services, APIs, and databases in a cloud environment.

• Experience with Cloud infrastructure e.g. AWS, GCP

• Strong cross-stack debugging and problem-solving skills.

• The ability to work from a described problem rather than a written specification.

• Experience using AI coding agents such as Claude Code, Codex, or comparable tools, including reviewing and validating generated code.

• Ownership and initiative: you find problems and solve them without waiting for direction.

• Comfortable working in a fast-moving environment and taking ownership of ambiguous problems.

Nice to Have

• Experience with robotics, hardware, autonomous systems, or another physical-world product.

• Familiarity with robot data collection, teleoperation, or policy evaluation workflows.

• Familiarity with ML data pipeline and GPU training infrastructure

What You Will Gain

• Build the software layer of a robot learning company from its earliest stage.

• Work across the complete stack, from raw robot data through foundation models to what customers touch.

• Room to move between focus areas as the company and your interests grow.

• Help shape the systems and engineering practices of an early-stage robotics company.

Compensation

1. Starting at $45 an hour and negotiable. Or FTE depending on experience.

Hiring Process

1. Application, including a note on which focus area fits you best.

2. Introductory conversation.

3. Technical interview.

4. (Optional) Onsite Interview

5. Initial six-month contract with strong potential for a longer-term opportunity.