Location | Montreal, Quebec |
Salary | 160,000 - 250,000 USD, yearly |
Commitment | Full-time |
Role | Autonomy - Perception |
Remote | 🌴Remote allowed |
First listed | In the last 6 months |
NewSoftware for Climate course
Job Description
The Company
Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai
At Outrider, you'll develop, improve upon, and ship cutting-edge software that drives next-generation freight transportation. Your work will directly contribute to autonomous systems that move millions of tons of freight across shipping & logistics centers, revolutionizing the way goods are transported globally. Over time, your contributions will enhance efficiency, safety, precision, and sustainability across the supply chain. Throughout your time at Outrider, you'll collaborate across teams and functions to build and maintain robust systems that keep the global economy moving.
The Role
We are looking for a Perception Algorithms & State Estimation Engineer to solve complex perception and state estimation problems for online autonomy. The ideal candidate has experience developing and deploying algorithms in robotics using camera, lidar, and/or radar data. The types of problems the candidate will address may include: object detection and tracking; state estimation for localization, mapping, and sensor calibration; modeling and estimating tractor/trailer states, including path curvature, ego, trailer pose, trailer angle, trailer wheelbase, and length.
Outrider number of job openings over time by month
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