Software Engineer - Perception / Mapping Data

Posted:
4/27/2026, 12:44:09 PM

Location(s):
California, United States ⋅ Foster City, California, United States

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

Pay:
$99/hr or $205,920 total comp

High-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems.

In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment.
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 [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.

Zoox

Website: https://zoox.com/

Headquarter Location: Foster City, California, United States

Employee Count: 1001-5000

Year Founded: 2014

IPO Status: Private

Last Funding Type: Convertible Note

Industries: Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation