Fullstack Engineer

Location: Palo Alto, CA
Work site: On-site, 5 days per week

We're building the full-stack foundation for the next generation of humanoid robots — from high-performance, software-defined hardware to the foundational models and video world models that control it. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling scenarios unseen in training. We work at the intersection of large-scale learning, robotics, and systems, with a research team that includes researchers from Stanford, Berkeley, Harvard, and beyond. We're not building a feature; we're building a new computing platform for physical work — and with over $400M raised, we're investing aggressively in the R&D, hardware development, and manufacturing scale-up to make that a reality.

We're looking for a Full Stack Software Engineer to help build the internal platforms and tooling that power our research, robotics, and infrastructure teams. You'll work across a broad surface area — from frontend interfaces for data collection and model validation, to backend services and APIs that tie together our cloud infrastructure, robot fleet, and data pipelines.

Why this role
    • The platform you build is the operating system for how our researchers and engineers work — your tools directly influence how fast we can iterate on model quality and robot behavior
    • Rare opportunity to build internal tooling at the intersection of physical AI and large-scale robotics, with direct visibility into how foundation models get developed and deployed
    • High ownership in a small team — you'll make real product decisions, not execute design specs handed down from above

Responsibilities 
    • Build frontend interfaces for data collection, labeling, model validation, and experiment tracking
    • Design and maintain backend services and APIs that support fast-moving research and engineering workflows across cloud, robot, and data infrastructure
    • Build tooling and dashboards for observability across cloud infrastructure, distributed training jobs, and robot fleet status
    • Integrate with data infrastructure systems — storage backends, pipeline orchestration, and dataset management tools
    • Build interfaces and services that connect with our physical robot ecosystem — fleet management, teleoperation, and deployment tooling
    • Own reliability, performance, and scalability of internal platform tooling as usage and complexity grow
    • Collaborate closely with researchers, ML engineers, and robotics teams to understand needs and ship tools that accelerate their work

Qualifications 
    • 3+ years of experience in full stack development, ideally with internal tool or platform experience
    • Strong proficiency in a frontend framework (React, Vue, or similar)
    • Solid backend experience in one or more languages (Python, Node.js, Go, etc.)
    • Experience with cloud infrastructure and storage (e.g., AWS, GCP, S3, GCS) and backend services
    • Ability to design and work with APIs (REST or gRPC) and structured data pipelines
    • Comfort working across codebases and systems owned by different teams — robotics, ML, and infrastructure
    • Strong attention to security, privacy, and multi-tenant data isolation

Bonus Qualifications 
    • Familiarity with ML training pipelines, model versioning, or experiment tracking tools
    • Exposure to robot fleet management, robotics control systems, or teleoperation
    • Experience with data infrastructure tooling — dataset management, pipeline observability, or large-scale storage systems
    • Familiarity with distributed systems or cloud infrastructure concepts (Kubernetes, job scheduling, cluster monitoring)

Salary Range: 
    • $110,000-120,000
    • The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience