Senior DevOps Engineer for AI Robotics & MLOps Infra

Rhoda AI; Mountain View (WY); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Health benefits

Job summary

Rhoda AI is developing the next generation of generalist intelligent robots in Mountain View. We own the entire stack from hardware to world models, investing heavily in scaling research, infrastructure, and manufacturing.

We seek a seasoned DevOps/SRE/Infra professional to own production systems, optimize CI/CD, and expand our cloud/GPU infrastructure. The role emphasizes security, observability, and cross-functional collaboration in a fast-moving research environment.

Qualifications

• 5+ years in DevOps / SRE / platform / infra with ownership of production systems.
• Proficient in 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, able to prioritize independently, and jump in where needed.
• Effective communication skills; able to work cross-functionally in a fast-moving team.

Responsibilities

• 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 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 & multi-tenancy

Tools

Job description

Rhoda AI is developing the next generation of generalist intelligent robots in Mountain View. We own the entire stack from hardware to world models, investing heavily in scaling research, infrastructure, and manufacturing.

We seek a seasoned DevOps/SRE/Infra professional to own production systems, optimize CI/CD, and expand our cloud/GPU infrastructure. The role emphasizes security, observability, and cross-functional collaboration in a fast-moving research environment.