Rhoda AI

Senior DevOps Engineer at Rhoda AI (Mountain View, CA)

Rhoda AI· Mountain View, CA·

Role details

Employment
Full-Time

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 $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

RESPONSIBILITY

  • Maintain and improve our CI/CD pipeline: instrument and monitor our CI jobs, and iteratively improve on it.
  • Manage and maintain infrastructure around build artifacts and dependencies storage.
  • Build and improve on our cloud and GPU cluster, and create essential devops infrastructure to support our daily research and software development effort.
  • Improve our MLOps training and deployment path: checkpoint registry/DB, model artifact promotion, and rollout to inference/robot endpoints.
  • Improve our infrastructure observability.
  • Harden security & multi-tenancy

QUALIFICATIONS

  • 5+ years in DevOps / SRE / platform / infra, with ownership of production systems.
  • Proficient in a programming language such as Python, C++, Rust, Go
  • Strong knowledge of software engineering best practices and design patterns
  • Experience with docker and containerized environments
  • Experience with software build systems for cloud infrastructure and embedded systems.
  • Experience with procedural CI and CD, and build artifact delivery (OTA update) system.
  • Comfortable with operating in Linux environment
  • Self-starter mentality — comfortable with ambiguity, able to prioritize independently, and willing to jump in wherever needed
  • Effective communication skills; able to work cross-functionally in a fast-moving team

PREFERRED QUALIFICATIONS

  • Knowledge of industrial communication protocols (EtherCAT, Modbus, gRPC, etc.)
  • Experience with ML Ops
  • Understanding of networking fundamentals (TCP/IP, DNS, firewalls) and security best practices for embedded IoT devices
  • Knowledge with kubernetes and cloud system orchestration

Why work at Rhoda AI

  • Culture: “Building at the frontier of embodied intelligence” – emphasis on hard problems, first-principles thinking, and category-defining systems. linkedin.com
  • Work policy: Hybrid workspace (employees combine remote and on-site work), with offices in Mountain View and Palo Alto, CA. builtin.com
  • Engineering culture: Strong research focus (Chief Research Officer, Chief Scientist, many research engineers/scientists). Recent job postings include Research Scientist, Robot Perception Engineer, Mechanical Engineer, Fullstack Engineer, and Product Manager. builtin.com
  • Notable perks: Not explicitly listed, but the company is well-funded ($680M) and at an early stage (founded 2024), offering significant growth opportunity and impact.

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