Robot DevOps Engineer, Large Behavior Models at Toyota Research Institute
Cambridge, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Collaborative Environment, Tri, System Administration, Kubernetes, Telemetry, Network Configuration, Automation, Velocity, Reliability, Ansible, Docker, Software, It, C++, Critical Systems

Industry

Information Technology/IT

Description

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this ground-breaking shift in mobility, we’ve built an extraordinary team in Automated Driving, Energy & Materials, Human-Centered AI, Human-Interactive Driving, Large Behavior Models, and Robotics.

QUALIFICATIONS



    • CI/CD pipelines, Build systems, and Development Workflows: Expertise and passion for creating scalable development workflows to balance velocity with reliability and scale.

    • Deployment Expertise: Demonstrated experience with the deployment and management of thousands of devices in a production environment.
    • Automation Proficiency: Deep experience creating automation for software configuration and deployment, specifically with remote updates.
    • System Administration Skills: Solid background in system administration, including network configuration, security hardening, and troubleshooting.
    • Infosec Acumen: Understanding and experience with information security practices relevant to deployed hardware and software.
    • Compliance & Safety Familiarity: Experience working in enterprise environments with compliance requirements and a comfort level with safety-critical systems.
    • Configuration Management Tools: Hands-on experience with configuration management tools such as Ansible, Chef, AWS Greengrass, or similar.
    • Experience with mixed Python and C++ workflows

    BONUS QUALIFICATIONS



      • Understanding of robotic systems and their specific deployment challenges.

      • Familiarity with container orchestration (Docker, Docker-Compose, Kubernetes, etc)
      • Familiarity with Bazel
      • Experience with OTA update systems
      • Telemetry and fleet monitoring systems
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      Responsibilities


        • Automation & Deployment Ownership: Design, implement, and maintain automation pipelines for configuring and deploying software to thousands of robots via remote updates, throughout their entire life-cycle.

        • System Administration & Infosec: Act as a system administrator for deployed robot fleets, managing infrastructure and ensuring robust information security practices.
        • Compliance & Safety: Navigate and ensure compliance within enterprise environments and work effectively with safety-critical robot systems.
        • Tooling & Infrastructure: Utilize and lead all aspects of configuration management tools such as Ansible, Chef, AWS Greengrass, or equivalents for large-scale device deployment and management.
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