Principal Software Engineer - SLAM
Foster City, CA
Software – Calibration, Localization & Mapping /
Full-time /
Hybrid
Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and is therefore foundational in enabling results from many other teams across Zoox.
We are seeking a highly skilled and passionate Principal Software Engineer with a robust mathematical background to lead and influence our CLAMS algorithms. The ideal candidate will bridge the gap between theoretical mathematics and practical application, ensuring that our teams across different departments, including SDMA, Planner and Controls, are aligned through clear, concise, and rigorous mathematical descriptions of our algorithms.
In this role, you will:
- Develop robust localization algorithms that perform effectively in dynamic environments with imperfect information.
- Craft mathematical models and documentation for calibrating the intrinsic and extrinsic parameters of our comprehensive sensor suite.
- Innovate and refine map feature generation processes for our Zoox Road Network (ZRN), leveraging both classical methods and cutting-edge techniques.
- Drive the analysis and propagation of uncertainties across different layers of the Zoox technology stack.
- Serve as a mathematical expert within the company, simplifying complex concepts to foster understanding and alignment across various technical teams.
- Mentor and coach a team of engineers, guiding them to success and leadership in their respective areas.
Qualifications
- Advanced degree (PhD preferred) in Mathematics, Applied Mathematics, Computer Science, or a related field.
- Extensive publication record in academic journals combined with experience in applying theoretical research to solve real-world problems.
- Demonstrated experience in developing and implementing advanced algorithms for localization, mapping, or related fields in autonomous technologies.
- Proven track record of leading projects and teams that have delivered innovative solutions.
- Excellent skills in mathematical modeling, algorithm design, and the ability to convey complex mathematical ideas with clarity and precision.
- Strong interpersonal and leadership skills with experience in mentoring and developing top-tier engineering talent.
Bonus Qualifications
- Experience with sensor calibration and data fusion techniques.
- Familiarity with machine learning approaches applicable to autonomous driving technologies.
- Proven ability to work cross-functionally, aligning multiple teams and technologies towards a common goal.
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $254,000 to $451,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
