Deep Learning Engineer

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

Responsible for developing the computer vision stack and leading the transition toward a deep learning-based architecture.

Duties and Responsibilities

• Design, build, test, and deploy software functionality for perception-driven robotic manipulation.
• Develop algorithms, robotic software modules and libraries with responsibility for the full software engineering lifecycle: requirements, design, source code implementation, unit test, integration, and system test. 
• Using existing data to train new pose detection and classification models , deploy that on HW, develop failure analysis tooling to help understand good/bad cases.
• Develop pipelines to mine data from execution bags with prediction results and develop SOP to help collect data with high quality ground truth from motion capture. Work with a cross functional team to help scale these collections. 
• Support product deployment, system maintenance, and software- based as well as real-world simulations of commercial functionality. 
• Support customer deployments.
• Triage issues to support the algorithms deployed.

Required Qualifications

• Master’s degree in Computer Science, Robotics, Computer Vision, or a related field
• Experience or demonstrated knowledge working with perception data from LiDAR sensors and cameras in autonomous vehicle applications
• 3+ years of software development experience deploying computer vision or perception software for autonomous systems
• 3+ years of professional software development experience using C++ and Python

Compensation & Benefits

• Salary: $90,168.00 - $171,600.00
• Benefits include health care coverage, sick leave, parental leave, bereavement leave, paid time off (PTO), and a 401(k) plan (no employer match)
• Equity package commensurate on experience and skills
• Home office stipend up to $500 to help you create a comfortable and productive workspace.
• Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor