Senior Fullstack Engineer

Rhoda AI; Mountain View (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Rhoda AI in Mountain View is seeking a Full Stack Software Engineer to develop internal platforms and tools that enhance research and robotics operations. You will design frontend interfaces for data collection and backend services that support our cloud infrastructure and robot fleet.

The ideal candidate has 3+ years of full stack development experience, with proficiency in frontend frameworks and backend programming languages. Join us to build innovative solutions that push the boundaries of robotics.

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).
• Ability to design and work with APIs (REST or gRPC).

Responsibilities

• Build frontend interfaces for data collection, labeling, model validation, and experiment tracking.
• Design and maintain backend services and APIs that support research and engineering workflows.
• Build tooling and dashboards for observability across cloud infrastructure.
• Integrate with data infrastructure systems.
• Own reliability, performance, and scalability of internal platform tooling.
• Collaborate closely with researchers and ML engineers.

Skills

Full Stack Development

Frontend Frameworks (React, Vue)

Backend Languages (Python, Node.js, Go)

Cloud Infrastructure (AWS, GCP)

API Design (REST, gRPC)

Data Pipelines

Security and Privacy Considerations

Job description

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We’ve raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics 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.

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