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.
What You'll Do- 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
What We're Looking For- 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
Nice to Have (But Not Required)- 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)
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
