Sr SWE, Perception Sensor Abstraction

The Multi-Platform Team's purpose is to abstract away superfluous differences between various sensor hardware and encapsulate hardware-specific logic so that downstream Perception is as portable as possible. Our work allows a single parameterized Perception software stack to run on all hardware platforms, to remain easily maintainable across N platforms with much less than N times the effort, and to rapidly adapt to new platforms. We bring up the overall Perception software stack on new vehicle platforms.

In this hybrid role, you will report to our Technical Lead Manager.

You will:

• Work with a creative team of people who are responsible for the bring-up of new hardware platforms (vehicles, sensors, compute) and for building a multi-platform software stack
• Develop software and ML methods to accelerate performance improvement of new platforms in relation to existing mature platforms
• Build evaluation tools and infrastructure to measure performance of new platforms in comparison to existing mature platforms

You have:

• BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience
• 5+ years of industry experience
• Experience programming in C++ with robust and efficient code
• Experience with building, integrating, debugging and evaluating ML-based systems

We prefer:

• MS in Computer Science, Machine Learning, Robotics, a similar technical field of study, or equivalent practical experience
• Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
• Experience applying Machine Learning to Perception problems
• Experience with statistical hypothesis testing, data analysis, experimental design

#LI-Hybrid