Software Engineer - Collision Avoidance System

In this role, you will:

• Write algorithms to process raw sensor data, track dynamic agents, and predict the future state for agents
• Apply distributed compute algorithms to efficiently analyze petabytes of urban driving data
• Develop metrics and tools for analyzing errors and understanding improvements in our systems
• Engineer software that runs on-vehicle to efficiently execute our algorithms in real time
• Engineer software that is fault-tolerant and conforms to automotive safety standards
• Collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments

Qualifications

• BS, MS, or PhD degree in computer science or related field
• Fluency in C++
• Extensive experience with programming and algorithm design
• 4+ years of experience in a related field
• Strong mathematics skills

Bonus Qualifications

• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Experience with latency of analysis and optimization of safety critical software systems
• Prior experience with Prediction and/or autonomous vehicles in general