Who ❤️ PJ →

Full Search

This job listing has expired and may no longer be relevant!
12 Jan 2021

Full-Time Senior Software Engineer, Onboard Perception

Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global Los Altos, California, United States

Job Description

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.

Responsibilities:

    • Collaborate with other software engineers and research scientists to develop perception algorithms, systems, and tools for autonomous driving systems.
    • Support the development of large data sets and data pipelines for system training and evaluation.
    • Build machine learning models using deep learning techniques for perception algorithms such as semantic segmentation, object detection, video understanding, etc..
    • Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Research Scientists.
    • Develop high-quality software designs that allows for both high-performance and easily understandable and maintainable software.
    • Live and breathe the software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.

Qualifications:

    • 4+ years of professional experience in related position
    • M.S. in Computer Science or a related field. PhD in Compute Science is a plus.
    • Experience in Robotics, AI, or Computer Vision applied to autonomous driving.
    • Proficiency in linear algebra, probability, statistics, and differential equations
    • Strong grasp of current ML techniques, especially Deep Learning for Perception Algorithms.
    • Strong communication skills. Team player.
    • Strong C++ software development skills.
    • Proficient in Python and Unix is a minimum. Additional knowledge of C++ / CUDA is a plus, experience with AWS as well.
Share this role online (there may be a referral fee*)

How to Apply

Apply For This Job

Job Types: Full-Time.

351 total views, 0 today

Apply for this Job