Senior DevOps Engineer

Rhoda AI; Mountain View (WY); In loco; USD 120.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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

Strumenti

Descrizione del lavoro

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

• Knowledgeof industrial communication protocols(… )
• 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