Senior Software Engineer, Spatial Intelligence and Foundation Models

NVIDIA is seeking a Software Engineer to join our Isaac Spatial Intelligence team within the Isaac Engineering org!

You will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots — building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI!

What you'll be doing:

• Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.
• Develop robust perception, mapping, and reasoning systems that run on robots, in simulation, and at scale in data pipelines for training foundation models.
• Advance the state of the art in geometric computer vision, combining classical multi-view geometry and optimization with modern deep learning approaches.
• Train and evaluate vision-language models on skills relevant to robotics.
• Work closely with the Cosmos and GR00T teams on perception and spatial understanding for foundation models and collaborate with other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release capabilities & features on physical robots as well as in at-scale simulations.
• Contribute to the effective integration, validation, and release of applied research efforts in collaboration with research teams and on top of NVIDIA's advanced robotics platforms.
• Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
• Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.

What we need to see:

• PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
• 8+ years of experience working on computer vision, robotics, or deep learning technologies.
• Strong foundation in 3D geometric computer vision: multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence (optical flow, scene flow, stereo).
• Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow).
• Experience training and evaluating deep learning models for perception tasks; familiarity with vision-language models is a strong plus.