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Design, build, and operate high-throughput, multi-region data pipelines to deliver petabyte-scale data to GPU infrastructure. Optimize Databricks/Spark workloads, deploy containerized components on Kubernetes, manage ingestion with Kafka, orchestrate workflows with Airflow, and collaborate with AI researchers to feed training and evaluation pipelines.

Design, develop, optimize, and deploy middleware and core software (real-time communication, execution frameworks) for autonomous driving on Linux/RTOS. Ensure automotive safety (ISO 26262) compliance, build debugging/testing tools, participate across the full SDLC, conduct design/code reviews, and collaborate with application and global cross-functional teams.

Serve as the technical bridge between 42dot Pleos Playground and 3rd-party developers: manage SDK/API onboarding, troubleshoot validation failures, act as technical SPOC across internal teams and OEMs, enforce safety/security guidelines, and provide in-vehicle validation and launch support for partner apps.

Design and build closed-loop evaluation and simulation pipelines for driving models; mine safety-critical scenarios; improve driving policies via RL/offline-RL, reward modeling, and policy distillation; automate rollouts, metrics, failure analysis, and integrate systems with data and ML platform teams.

Research and develop 3D computer vision and machine learning algorithms for autonomous driving, including 3D shape modeling, pose estimation, tracking, self-supervised representation learning, physics-based vision, SLAM, and world-model simulation. Implement efficient, scalable vision systems and multi-sensor fusion for deployment in large-scale environments.

Build high-fidelity, physics-based simulation environments using 3D generative AI and vehicle dynamics to train, evaluate, and deploy autonomous driving AI. Design scalable closed-loop simulation pipelines, implement and validate vehicle dynamics/kinematics, develop optimized C++/Python/CUDA simulation modules, and integrate perception, planning, and control stacks to minimize the Sim-to-Real gap.

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.

Design, develop, and maintain high-fidelity simulation environments for autonomous driving. Implement vehicle, sensor, and environment models, design validation scenarios for perception/planning/control, integrate simulation tools into development pipelines, analyze results, and propose performance improvements while collaborating across engineering, robotics, and data teams.

Design and build full-stack web applications for visualizing large-scale autonomous driving multi-modal data (LiDAR, camera streams, labels, trajectories). Implement React frontends and Python/Node.js backends, optimize rendering and backend performance, provide data loading/streaming APIs, integrate model outputs and evaluation metrics, customize open-source visualization tools, and maintain production-quality code, tests, and documentation.

The OS Tools Software Engineer will design and implement tools for Vehicle OS, focusing on messaging systems and developer environments, contributing to autonomous driving technology.