Applied IntuitionSunnyvale, CADevelops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.
Develops ML perception algorithms and 4D world representations for autonomous vehicle stacks. Tests on real vehicles and collaborates with research teams. Requires 3+ years experience, C++/Python proficiency, and ML deployment expertise.
Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.
As a Software Engineer specializing in Mapping and Localization, you will design and implement state-of-the-art systems for autonomous vehicles and mobile robots. This role involves building scalable solutions, fusing live data with maps, and continuously improving system performance using data-driven methods.
Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.
Conducts research in reinforcement learning and VLA post-training for robotics and autonomous systems, focusing on dexterous manipulation. Publishes at top conferences and deploys algorithms to real-world products. Requires MSc/PhD, strong publications, and expertise in Python, PyTorch, CV, robotics.