Principal Software Engineer, Autonomy Evaluation

In this role, you will

• 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.

Qualifications

• 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

Bonus 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