AI Research Engineer: Vision AI / VLM / Physical AI
Location: Seattle, WA (or Remote)
Build the Future of Perception & Embodied Intelligence
Are you pushing the frontier of computer vision, multimodal large models, and embodied/physical AI—and have the publications to show it? Join us to translate cutting-edge‑ research into production systems that perceive, reason, and act in the real world.
We are building state of‑ t‑heart Vision AI across 2D/3D perception, egocentric/360° understanding, and multimodal reasoning. As an AI Research Engineer, you will own high‑ ‑leverage experiments from paper → prototype → deployable module in our platform.
We are seeking passionate Engineersto join our cutting-edge labs, you could be part of :
Computer Vision team as a Research Engineer and dive into the world of 3D reconstruction, scene understanding, and visual AI. You’ll explore innovative techniques like those used to transform real-world spaces into immersive 3D models—such as the 3D Reconstruction projects —and work with cutting-edge architectures like VGG-T (Visual Geometry Grounded Transformers), known for advancing deep learning in vision tasks. This role is perfect for those excited to develop AI systems that interpret, reconstruct, and interact with the visual world, using state-of-the-art tools and methodologies. Physical AI Robotics team, where you’ll work at the intersection of simulation, robotics, and AI. You’ll leverage NVIDIA’s Omniverse for advanced 3D simulation and collaboration, Isaac Sim for robotics training and testing, and GR00T for foundation models in robotics. Experience with Holoscan SDK for real-time medical and industrial robotics pipelines, Newton Physics for dynamic simulation, and NVIDIA’s NERD for neural robot dynamics will be a plus. This role is ideal for those eager to push the boundaries of AI-driven robotics using state-of-the-art tools and frameworks.