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Our Mapping team is responsible for building the algorithms and tools necessary to keep Zoox vehicles well calibrated, always aware of their location in the world, and aware of their environment. Without precise calibration, localization, and mapping, our vehicles would be at a disadvantage in perceiving and reasoning about the surrounding world, and this is therefore foundational to enabling results from many other teams across Zoox. This work is critical to scaling autonomous driving safely and reliably. We are looking for engineers who are ambitious and excited about helping Zoox achieve its goals of delivering autonomous mobility.
The Road Network Interface team owns road network data definition and data products for all consumers, including developer workflows, in-cluster training jobs, and on-vehicle real-time access. We are seeking a Software Engineer to develop the geometry algorithms behind these data products and the interfaces consumers use to access them - including network topology, road network data format, and validation.
In this role, you will...

• Develop and maintain the geometry algorithms that power our map data interfaces.
• Implement and maintain key parts of our mapping data format, validation frameworks, post-processing pipelines, and interfaces consumed by downstream customers.
• Collaborate with cross-functional teams across Zoox to ship features and grow the APIs that downstream consumers depend on.
• Create design documentation, test plans, and other supporting artifacts for the work you ship.
• Contribute to all phases of the software development cycle, including prototyping, requirements capture, design, implementation, and validation.

Qualifications

• Bachelor's or higher in Computer Science or related field
• 3+ years of relevant industry experience
• Proficiency in C++
• Strong code-quality fundamentals - correctness, testability, modularity
• Strong mathematical skills, particularly in computational geometry
• Experience working with large data sets

Bonus Qualifications

• Experience working with geographic data, spatial acceleration structures, or surface meshes
• Familiarity with road network topology
• Knowledge of statistics and metric design
• Experience with software profiling or performance tuning

$185,000 - $251,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
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.
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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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.