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, 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

The role 

The Sr. Technical Lead, Embedded Vision will report to the Director of Perception and oversee embedded inference technical development. This is an opportunity to shape on-vehicle machine learning for the pioneer and leader for yard automation. This position requires mastery of embedded inference, ability to mentor developers, attention to detail, and ability to learn in unstructured environments.

Outrider’s fully electric, SaaS-based autonomous trucking solution relies on a powerful, advanced, on-board inference engine to enable massively scalable perception capabilities and round-the-clock operation across a large fleet of deployed systems. This role is ideal for a talented and dedicated engineer who wants to combine both practical and cutting-edge perception techniques to push confined-area, heavy-vehicle autonomy into hardened, high-volume production.

Perception and machine learning is a pivotal function enabling a safety-critical system for industrial automation. This opportunity offers a well-rounded, hands-on technical lead the chance to help develop a market-leading, enterprise-grade product that combines autonomous trucking technologies with a software-as-a-service (SaaS) business model. 

The ideal candidate embraces the idea of reducing the carbon footprint of our 'get-it-now' economy and is invigorated by our overarching mission to accelerate the adoption of zero-emission, self-driving vehicle technology.

Responsibilities

• Lead the embedded inference effort for the Outrider perception team
• Optimize models on execution speed, memory footprint, and accuracy margin
• Architect on-vehicle model inference run time
• Define processes and tools for quantizing and calibrating models
• Evaluate model performance by developing on hardware-in-the-loop (HIL) test harnesses
• Be responsible for the full software engineering lifecycle: requirements, design, source code implementation, unit test, integration, and system test.
• Assist in planning for both development sprints and multi-year roadmaps
• Collaborate cross-functionally with the machine learning team, the perception platform team, and the compute hardware team
• Contribute generally to the growth and success of the Company and the building of a vibrant culture focused on the responsible deployment of zero-emission autonomous vehicle technology

Required qualifications

• Master’s degree in in computer science or relevant field
• 5+ years of professional C++ and Python experience
• Experience deploying models on NVIDIA embedded systems (Orin/Xavier/Jetson) as part of a deployed product
• 3+ years of professional experience with TensorRT and CUDA
• Knowledge of deep learning layers and architectures
• Experience with network quantization and pruning

Ideal qualifications

• Team leadership experience
• Experience with docker
• AWS experience with S3, SQS, Lambda, DynamoDB, and EC2
• ROS / software for ground robotics systems

Compensation & benefits

• Salary range of $170,000 - $220,000. For benefits, check this out!

At Outrider, we believe in cultivating an environment where there is diversity of perspectives, experiences, and knowledge with the expectation that we thrive in an inclusive environment. Outrider is committed to a workforce where everyone's opportunities are limitless regardless of race, national origin, gender, age, religion, disability, veteran status, or any others that are protected by law.