Toyota Research Institute
At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll help…
– Develop vehicles incapable of causing a crash, regardless of the actions of the driver.
– Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.
– Bring advanced mobility technology to market faster.
– Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful.
– Develop human-centered AI systems to augment (not replace) human decision making to increase the quality of decisions (e.g. mitigate cognitive biases) and/or to facilitate faster innovation cycles.
Our work is guided by a dedication to safety – in both what we research and how we perform our research our goal is to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!
We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun environment with forward-thinking people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing technology for safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.
TRI’s Safety and Systems Engineering team is applying systems engineering principles to protect the safety of the public and our employees as we test advanced vehicle automation systems. Leveraging methodologies from high-reliability industries such as aerospace, medical robotics, and automotive functional safety, we ensure our systems are thoroughly tested and are equipped with robust onboard real-time monitoring systems. We’re looking for phenomenal systems engineers who are passionate about improving the lives of millions through the safe development of autonomous systems. No prior robotics experience is necessary, although it doesn’t hurt.
Develop requirements for autonomy features, fault monitoring and self-diagnostics, including analyses such as FMEA, FTA, and similar
Work with and between multiple technical teams to implement effective verification of system features, including nominal, fault injection, fail-safe, fail-operational, and edge-case scenarios
Work collaboratively with cross-functional teams to create clear system definitions and specifications to accelerate software development
Develop processes in collaboration with stakeholders from various technical teams to facilitate the development, testing, and improvement of autonomous systems
Drive research into innovative systems engineering solutions tailored for the development and deployment of safe autonomous systems
Master’s degree or Ph.D. in a technical discipline such as Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or Computer Science
6+ years of experience working in Systems Engineering or Functional Safety roles
Practical working knowledge of systems engineering processes and in-depth familiarity with the activities mapped to various stages of the V model
Experience with development of behavioral and system level requirement and tracing them to the appropriate type and amount of V&V activities
Strong verbal and written communication skills and people skills
Strong understanding of common software performance issues and tradeoffs
Familiarity with software and the ability to read code (C/C++ and Linux)
Familiarity with automated driving hardware such as sensors, compute, etc. and software such as AI, Machine Learning algorithms, etc.
Familiarity with requirements management software (Jama, Polarion, DOORs, or similar)
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