Engineer/Senior Engineer - Perception Capabilities

Motional•Boston, MA

12h•$136,500 - $225,000

About The Position

This role is for an engineer excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. The ideal candidate has a solid foundation in areas like detection, classification, segmentation, or tracking, and is eager to apply these skills in an impactful, production-focused environment. The role involves contributing to the perception stack for self-driving vehicles, focusing on safety-critical, open-world applications. The engineer will be curious, motivated, and ready to learn from experienced teammates, enjoying the challenge of solving technical problems, asking thoughtful questions, and collaborating to build high-quality software.

Requirements

Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
Solid understanding of fundamental deep learning concepts and computer vision techniques
Experience building, training, or evaluating neural networks
Proficiency in Python and familiarity with libraries like PyTorch or similar
Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development
Clear communication skills and willingness to ask questions, share ideas, and work with others

Nice To Haves

Previous experience with sensor fusion and/or previous exposure to the AV industry
Experience shipping a “real” product and balancing ongoing support with next-generation innovation
Exposure to safety-critical products or components
Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
Strong programming skills in C++ and/or CUDA programming
Experience with TensorRT and model quantization

Responsibilities

Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system.
Help analyze perception system performance to identify areas for improvement and participate in efforts to address them.
Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures.
Depending on background and interests, may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of onboard hardware and meet functional requirements and interface specifications.
Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics.