Robot DevOps Engineer, Large Behavior Models at Toyota Research Institute

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial Intelligence, AutomotiveIndustries

Requirements

Expertise and passion for creating scalable development workflows to balance velocity with reliability and scale (CI/CD pipelines, build systems, and development workflows)
Demonstrated experience with the deployment and management of thousands of devices in a production environment
Deep experience creating automation for software configuration and deployment, specifically with remote updates
Solid background in system administration, including network configuration, security hardening, and troubleshooting
Understanding and experience with information security practices relevant to deployed hardware and software
Experience working in enterprise environments, including compliance and safety familiarity

Responsibilities

Design, implement, and maintain automation pipelines for configuring and deploying software to thousands of robots via remote updates, throughout their entire life-cycle (Automation & Deployment Ownership)
Act as a system administrator for deployed robot fleets, managing infrastructure and ensuring robust information security practices (System Administration & Infosec)
Navigate and ensure compliance within enterprise environments and work effectively with safety-critical robot systems (Compliance & Safety)
Utilize and lead all aspects of configuration management tools such as Ansible, Chef, AWS Greengrass, or equivalents for large-scale device deployment and management (Tooling & Infrastructure)
Maintain CI/CD systems, build infrastructure, and development workflows as repository owner and maintainer
Architect and be responsible for remote update systems for fleet-wide deployments
Handle system administration for robots at customer sites and ensure information security and compliance within enterprise environments

Skills

DevOps

Drake

Robotics

Machine Learning

CI/CD

Deployment

Python

C++

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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