Software Engineer, Control Integration

TEAM

The Behavior Actuation team develops state-of-the-art vehicle control and estimation algorithms from prototype to production. We leverage control theory, optimization, and machine learning to design and implement real-time vehicle control solutions with measurable impact on autonomy performance. In this role, the candidate will work to refine software requirements, leverage systems-level thinking to negotiate the software design, and deliver production quality code following best engineering practices for verification & validation.

WHO ARE WE LOOKING FOR?

A software engineer with controls experience who is passionate about improving the lives of millions through AD/ADAS:

• Must know MPC in practice in order to negotiate requirements for a streamlined/simplified software design, challenging the status quo
• Able to communicate clearly and concisely about design trade offs and impact analysis
• Be willing to constantly learn and sharpen modern C++skills with an eye toward best practices for production code (ideally familiar with AUTOSAR and other C++guidelines)

RESPONSIBILITIES

• Break down high-level requirements into implementable requirements without over-constraining the software design
• Dive deep into technical topics such as Model Predictive Control, estimation, and control theory in order to negotiate the implementation details
• Implement production C++code
• Test C++code and controller performance from unit test to integrated simulation and vehicle tests

MINIMUM QUALIFICATIONS

• Masters or PhD in Control Systems, Estimation, Robotics, or similar field
• 3+years working in AD/ADAS or highly related field (robotics, other control systems)
• Strong understanding of vehicle dynamics, control, and estimation
• C++programming experience
• Working proficiency in English (verbal and written)
• Excited about improving vehicle safety and the overall customer mobility experience

NICE TO HAVES

• Japanese language skills
• Solid understanding of convex optimization and machine learning
• Experience developing software for mass production