Principal Software Engineer
| Company | Zoox |
|---|---|
| Location | San Mateo, CA, USA |
| Salary | $308000 – $469000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- BS, MS, or PhD degree in computer science or related field
- Experience with ML evaluation in Autonomous Driving, GenAI, or Physical AI, Robotics etc.
- Proven track record of technical leadership in large-scale AI organizations
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Fluency in C++ or Python
- Strong mathematics skills
- 10+ years of experience
Responsibilities
- Technically lead the definition and work planning in advancing AI evaluation beyond safety, progress and comfort.
- Collaborate with autonomy software leaders, data scientists and engineers to prototype and evaluate the concepts.
- Drive process improvements on data curation, metrics development and metrics quality.
- Collaborate with Zoox Foundation Model team to leverage the foundation models used for offline validation and/or triage.
- Use multi-modal data from across the company to develop models and strategies that improve the speed and quality of our validation process.
- Work with Infrastructure and Simulation teams to build new capabilities in AI evaluation that are not currently available.
- Provide technical mentorship to the broader groups at Zoox.
Preferred Qualifications
- Prior experience with using foundation models to advance ML evaluations
- Experience with training and deploying Deep Learning models
- Direct working experience in Autonomous Driving