In this role, you will:
- Build collision avoidance software for motion planning, decision making, and prediction
- Lead the technical direction of software projects, define architecture, and develop new algorithms.
- Design, develop, and review complex software components, ensure code quality and maintainability.
- Help define and develop robust probabilistic decision making algorithms
- Identify and resolve complex technical challenges, analyze data to identify potential issues.
Qualifications
- PhD + 3 years of related experience or Masters + 7 years
- Strong background in computer science, especially coding in c++
- Have experience of real-time system, especially latency handling
- Must be a team player with good communication skills and be able to guide the team member through software architecture design, experience with mentoring team members
- Past experience of Autonomous driving or robotics industry
Bonus Qualifications
- Experience with writing functional requirements driven code and familiar with formal verification & validation techniques
- Hands-on experience with Bayesian Estimation Techniques such as Kalman Filters
- Experience with existing Advanced Driver-Assistance System (ADAS) technologies, including adaptive cruise control, automatic emergency braking, lane-following, automated lane changing
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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