Teams at 42dot

Design and implement a web-based visualization platform for autonomous driving datasets. Build synchronized multi-modal visualizations (LiDAR, camera, labels, trajectories), optimize frontend rendering for large datasets, improve annotation UI/UX, integrate/customize open-source visualization tools, and ensure production-grade code quality, testing, and documentation while collaborating with perception, planning, and data engineering teams.

Lead design strategy for in-vehicle (IVI) and connected mobile products. Drive end-to-end UX from information architecture and user flows to prototyping and visual design. Collaborate with product, engineering, and research teams, improve design systems, represent design in roadmap and implementation decisions, and provide design leadership and mentorship.

Lead design and implementation of a scalable data lakehouse and ML training/evaluation platform for autonomous driving. Build data SDKs, optimize data pipelines and serving, maintain infrastructure (processing pipelines, databases, lakehouse), collaborate with ML and cloud teams, and drive technical strategy to improve model training, validation, and deployment efficiency.