Software Engineer - 3D Mapping

Benefits

Parental leave

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Non-birth-parent leave

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer - 3D Mapping Foster City, CA The 3D Mapping team is seeking a Software Engineer to help tackle all the challenging mapping scenarios our cities have to offer, including highway mapping and mapping under difficult environment conditions. This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility. The 3D Mapping team is seeking a Software Engineer to help tackle all the challenging mapping scenarios our cities have to offer, including highway mapping and mapping under difficult environment conditions. This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility. In this role, you will: - Design, develop, and validate mapping algorithms for cities and highway driving. - Collaborate in building a highly automated, scalable, multi-modality, 3D mapping system. - Collaborate with cross-functional teams to define system requirements and technical roadmaps. - Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation. Qualifications: - M.S. or Ph.D. degree in Computer Science, Electrical Engineering, or related field - Proficient in C++ and Python - Experience with factor graphs, pose estimation, SLAM, probabilistic filtering, and 3D data - Strong mathematical skills Bonus Qualifications: - Experience with autonomous robots - Experience with real-time sensor fusion (e.g.,

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