What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong Computer Vision/Machine Learning engineers to develop, train, and deploy a state-of-the-art perception pipeline for our self-driving vehicles. We seek engineers with strong foundations coupled with a practical, product-focused mindset to produce a highly performant, real-time, safety-critical application.

What Success Looks Like:

• Work in a team to design and develop state-of-the-art perception systems for self-driving vehicle systems.
• Contribute to the technical direction of the team, and work cross-functionally to develop safe systems.
• Write software for perception models for real-time, resource-constrained applications.
• Develop and evaluate multimodal perception approaches for pushing performance and improving robustness.
• Identify bottlenecks and limitations in system performance, and develop novel perception components to unlock new perception capabilities and reliability.
• Drive experimentation, design, and iteration exercises, and align stakeholders with strong presentation and communication skills.
• Experience with architecting, training, and deploying Deep Learning Models.
• Experience with building perception systems using lidar, camera and/or radar data.
• Knowledge and experience of advanced probabilistic algorithms, real-time algorithms, and machine learning approaches.
• Experience with approaches to one or more perception problems, such as multi-object detection, panoptic segmentation, temporal detection, and tracking.
• Strong experience in software engineering and algorithm design.
• Fluent in Python.
• Experience with C or CUDA a plus.