Qualifications

• 5+ years in product or engineering roles focusing on data infrastructure in AV, Automotive, Robotics, or Edge AI sectors.
• Proven experience in building production-level ML Ops pipelines.
• Expertise in training datasets and evaluation for AI models.
• Preferred experience with edge and depot data infrastructure (e.g., NAS) and cloud systems.
• Familiarity with ML Ops practices, including targeted and active learning techniques.

Responsibilities

• Develop and lead the roadmap for the Autonomy Data Flywheel initiative.
• Create requirements and ensure the delivery of data needs for AI, Perception, and Safety teams.
• Collaborate with engineering teams to set and meet quality and quantity KPIs.
• Establish and oversee Data Diversity metrics to enhance scenario coverage for Sidewalk ODD.
• Coordinate cross-functional projects with Operations and IT to improve depot and cloud infrastructure.
• Maintain data pipelines to ensure proper data retention without compromising safety and daily operations.

Benefits

• Flexible work arrangements, including remote opportunities across the U.S. and Canada.
• Collaborative and respectful work environment with a diverse team.
• Exposure to cutting-edge technology in robotics and AI.
• Engagement in projects solving real-world urban delivery challenges.