Staff Software Engineer – Cloud & Embedded Systems Configuration
Job Location:
Job Location:
Foster, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Zooxs Robot Software Infrastructure team is looking for a Staff Software Engineer to help build the core platform services that powers the configuration and runtime settings system across our autonomous vehicle fleet.
Our team develops full-stack systems that manage startup behavior runtime settings and software/hardware configuration across vehicles and citiesensuring safe consistent operation at scale.
Example Challenges
How should a vehicle determine what to do when it wakes up
How can a fleet coordinate updates across time zones for 24/7 service
How do we detect and recover from misconfigurations in runtime
If youre excited to work on foundational systems that keep a robotaxi fleet running smoothly in the real world wed love to talk.
In this role you will:
- Design and build robust embedded applications and web microservices for the configuration and runtime settings system
- Develop startup-time and runtime auditing/control of software and hardware settings
- Own service architecture that connects vehicle and cloud for dynamic configuration
- Drive technical direction and lead large-scale cross-team projects with independence and critical thinking
- Collaborate and communicate effectively across cross-functional teams including vehicle software tools and operations to drive successful project outcomes
Qualifications
- 8 years of combined experience in device/edge software cloud systems architecture and development
- Deep experience designing building and operating cloud-based microservices and cloud infrastructure (Kubernetes Docker etc.)
- Proficient in Python Kotlin or Java and REST APIs with familiarity in C and proven experience building data pipelines and APIs between cloud and edge devices.
- Strong systems thinking and ability to understand complex cross-cutting architectures
- Proven track record of steering large-scale projects from initial concept through to successful deployment.
Bonus Qualifications
- Experience in robotics autonomy or large-scale distributed systems
- Familiarity with vehicle environments maps GPS and OTA updates
$219000 - $263000 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 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.
Required Experience:
Staff IC
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
