In this role, you will:
- Architect and implement control strategies for our vehicle’s longitudinal and lateral dynamics
- Define specifications and test suites to tune parameters and compare the performance of different controllers
- Work with validation team to define and execute tests for developed controllers
- Contribute to failure and hazard analyses and implement safety mitigations in the control software
- Work with the firmware team to ensure robust, safety-critical controller implementations in the hardened real-time embedded systems
- Work with the simulation team to integrate controllers in the simulation environment for development and validation
Qualifications
- BS or MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field, and 8+ years of relevant experience
- Strong programming skills in C / C++
- Strong background in controls (PID, LQR, MPC, etc.) and filter design (FIR, IIR, etc.) for complex dynamic systems
- Understanding of vehicle dynamics and automotive sensors and actuators
- Extensive experience with programming and algorithm design as well as strong mathematical and geometrical skills
Bonus Qualifications
- PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
- Excellent leadership, project management, and organizational skills
- Experience implementing a control system in a real-world product
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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