Engineering Manager - Autonomy Data

Job description

Job responsibilities

• Grow and manage a team of world-class engineers with the goal of delivering high-quality, well-labeled data and identifying critical edge cases for autonomy
• Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
• Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
• Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
• Set team goals and roadmap in alignment with training, evaluation, and deployment requirements
• Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data is powering our models
• Drive hiring, mentoring, and growth for a high-performing, mission-driven team

Job requirements

• 3+ years of engineering management experience
• Passion for building and leading high-performing teams
• Experience building data quality systems, labeling pipelines, or annotation platforms at scale
• Familiarity with modern ML infrastructure and data-centric AI approaches
• Understanding of how foundation models can be applied to automate data workflows
• Solid track record of building and deploying products