Job Description
To lead the core evaluation platform that supports developers across Planning, PCP, and Prediction. This platform is central to autonomy development, enabling teams to efficiently test, validate, and ship code at scale.
The role is responsible for maintaining and scaling the platform, while also building new features and expanding cross-pillar adoption through Python tooling, APIs, and data engineering. Their work spans backend API development, Pandas-based data pipelines, and integration with V&V workflows, ultimately providing the infrastructure that powers autonomy development at scale.
Qualifications
- MS or higher degree in Computer Science, or a related field, with 7+ years of hands-on experience
- Expert-level proficiency in Python and C++
- Strong background in distributed systems, high-performance computing, and software architecture design
- Experience with data streaming/processing, storage systems, CI/CD pipelines, and automated testing frameworks
- Extensive experience designing scalable, real-time validation systems
Bonus Qualifications
- Familiarity with Simulation Frameworks
- Knowledge of autonomous vehicle software stacks
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.
Requirements
Qualifications
- MS or higher degree in Computer Science, or a related field, with 7+ years of hands-on experience
- Expert-level proficiency in Python and C++
- Strong background in distributed systems, high-performance computing, and software architecture design
- Experience with data streaming/processing, storage systems, CI/CD pipelines, and automated testing frameworks
- Extensive experience designing scalable, real-time validation systems
Bonus Qualifications
- Familiarity with Simulation Frameworks
- Knowledge of autonomous vehicle software stacks
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