Teams at 42dot

Develop, optimize, and maintain Linux-based in-vehicle applications for infotainment and autonomous systems. Integrate with hardware/firmware, debug kernel and user-space issues, improve performance and boot times, contribute to system architecture, and collaborate with QA for test strategies and high code quality.

Manage and operate large-scale, multi-datacenter GPU clusters using Kubernetes and Slurm. Monitor and diagnose hardware and software failures, develop automation scripts in Python or Shell, manage GPU quotas, support ML researchers, and participate in designing and tuning distributed training environments for large-scale autonomous driving models.

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.