Senior Software Engineer - Motion Planning Collision Avoidance

Reposted 17 Hours Ago
Boston, MA
Hybrid
204K-276K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Design and implement real-time software systems for Collision Avoidance, leading projects and mentoring team members to ensure software robustness and quality.
Summary Generated by Built In
Zoox is looking for a software engineer to join our Collision Avoidance System Motion planning team. In this role, you will be responsible for bringing cutting edge collision avoidance decision making and prediction systems into production. This is a multidisciplinary role that will include responsibilities in and exposure to safety-critical system engineering, perception, prediction, and motion planning all with a focus on robustness and low latency. You will be at the forefront of defining safety for cutting-edge AI software in real world environments.

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

About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Top Skills

C++
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The Company
HQ: Foster City, CA
2,900 Employees
Year Founded: 2014

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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