About the Team

DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike.  We’re ruthlessly focused on business impact.  We are a highly senior team composed of former pioneers from a variety of different robotics industries.  As of 2025, DoorDash has completed 10B lifetime deliveries.  We’re focused on how to do the next 10B even better.

About the Role

We are seeking a seasoned Senior Perception Engineer with a proven track record of shipping production-level autonomy systems. This is a role for a hands-on expert who can leverage their deep experience in real-world robotics to hit the ground running and make an immediate impact on our last-mile delivery solution. The ideal candidate has lived through the full development lifecycle of an autonomous product and intimately understands the practical challenges and trade-offs required to build perception systems that are not just novel, but robust, reliable, and performant. You will be a key technical voice, expected to solve our most critical perception challenges by drawing upon your extensive prior experience in the field.

You're excited about this opportunity because you will… Design and deploy state-of-the-art perception algorithms for autonomous systems, enabling robust object detection, classification, and tracking. Work extensively with various sensor modalities, including cameras, and LiDAR, to create a comprehensive understanding of the operational environment. Develop and implement advanced sensor fusion techniques to combine data from multiple sensors, increasing the accuracy and reliability of the perception system. Build, train, and validate deep learning models for tasks such as semantic segmentation, object detection, and behavioral prediction. Optimize perception algorithms for real-time performance on our NVIDIA-based embedded systems (e.g., Jetson, Orin). Collaborate closely with the planning and control teams to ensure seamless integration of perception data into the decision-making and navigation stack. Stay at the forefront of computer vision and machine learning research, applying cutting-edge techniques to solve challenging perception problems. We're excited about you because…  You hold a degree in Computer Science, Electrical Engineering, Robotics, or a related field. A Master's or Ph.D. is a strong plus. You have 8+ years of industry experience in perception engineering, computer vision, or a related area within autonomous systems. You have hands-on experience with sensor data processing from cameras, and LiDAR. You have a proven track record of developing and deploying perception algorithms for real-world robotic systems.

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