Senior DevOps Engineer Rhoda AI · Mountain View · DevOps & Release $175,000–$250,000 2mo ago

Devopsroles; Mountain View (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Rhoda AI is building generalist intelligent robots with a full-stack approach spanning hardware, software, and foundation models. The DevOps role focuses on owning production systems, CI/CD pipelines, and scalable infrastructure to accelerate research and deployment of robot capabilities.

The candidate should have 5+ years in DevOps/SRE, strong programming skills (Python, C++, Rust, Go), and experience with Docker, CI/CD, and Linux in cloud and embedded contexts.

Qualifications

• 5+ years of DevOps / SRE / platform / infra with ownership of production systems.
• Proficient in programming languages such as Python, C++, Rust, Go.
• Strong knowledge of software engineering best practices and design patterns.

Responsibilities

• Maintain and improve our CI/CD pipeline; instrument and monitor CI jobs, and iteratively improve it.
• Manage and maintain infrastructure around build artifacts and dependencies storage.
• Build and improve cloud and GPU cluster infrastructure to support daily research and software development.
• 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 and multi-tenancy.

Skills

DevOps/SRE experience

Python

C++

Rust

Go

Linux

Docker

CI/CD

Build systems

Security best practices

Communication

Self-starter

Tools

Docker

Kubernetes

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