Nvidia
Senior Software Engineer, Spatial Intelligence and Foundation Models
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 6 days ago
PythonC++AlgorithmsDeep LearningTensorFlowPyTorchData EngineeringComputer VisionRoboticsResearchCommunicationCollaboration
About the role
- NVIDIA is seeking a Software Engineer to join our Isaac Spatial Intelligence team within the Isaac Engineering org!
- 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.
Responsibilities
- 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.
- 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.
- Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.
Requirements
- What we need to see: PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
- Strong skills in agentic tool use. proficiency working with AI coding agents and agentic workflows (e.g., Claude Code, Cursor, Codex) to accelerate development, testing, and experimentation.
- Experience with large-scale model training on GPU clusters, including VLMs or other foundation models.
- Hands-on experience with simulation-based training and evaluation, sim-to-real and real-to-sim transfer.
- PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Benefits
- 8+ years of experience working on computer vision, robotics, or deep learning technologies.
- 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.
- Publications at top computer vision or robotics venues (CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL).
- You will also be eligible for equity and benefits.
- Strong foundation in 3D geometric computer vision: multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence (optical flow, scene flow, stereo).
Company info
- Ways to stand out from the crowd: Contributions to widely used SLAM, SfM, or 3D reconstruction systems (open source or shipped products).
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.