Software Engineer Perception Fleet Mapping

Zoox

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profile Job Location:

Boston, NH - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 days ago
Vacancies: 1 Vacancy

Job Summary

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.

In this role you will:

  • Automate large-scale mapping pipelines and workflows
  • Contribute to scalable algorithms for map creation validation and maintenance
  • Ensure system reliability and performance through testing debugging and continuous improvement of production systems
  • Collaborate cross-functionally with a variety of teams working on things such as perception planning prediction simulation etc
  • Propose tool and/or feature ideas to the team to improve processes

Qualifications:

  • BS or MS in Computer Science or related field and 3 years experience
  • Proficiency in C and Python
  • Experience in cloud / distributed computing and automating pipelines
  • Experience in industry software devops workflow and tools for example CI / CD
  • Experience working with 3D sensor data from cameras and/or lidars

Bonus Qualifications:

  • Experience with mapping or geospatial data
  • Experience with React and frontend development
  • Experience with database design and API development
$176000 - $240000 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 candidates 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. Were 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 emailprotected or your assigned recruiter.

A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. 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.

Required Experience:

IC

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-functiona...
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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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