Senior Software Engineer, Spatial Intelligence And Foundation Models

Details

NVIDIA is seeking a Software Engineer to join the Isaac Spatial Intelligence team within the Isaac Engineering organization. You will join a group of robotics software and applied research engineers focused on geometric and semantic understanding and reasoning for robots — building perception systems that turn raw sensor data into actionable world understanding and shaping the future of physical AI.

Responsibilities

• Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion (SfM), optical flow, scene flow, and object reconstruction to training vision-language models (VLMs) on 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 by combining classical multi-view geometry and optimization with modern deep learning approaches.
• Train and evaluate vision-language models on skills relevant to robotics.
• Collaborate closely with Cosmos and GR00T teams on perception and spatial understanding for foundation models, and with other Isaac teams (Sim/Lab, Platform, SQA) to deploy, validate, extend, and release capabilities on physical robots and in at-scale simulations.
• Contribute to integration, validation, and release of applied research efforts on NVIDIA's robotics platforms.
• Support innovation through prototypes, open source contributions, patents, and publications.
• Work cross-functionally with product, hardware, and software teams to translate engineering work into products.

Requirements

• 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.
• Proficiency with agentic tool use — working with AI coding agents and agentic workflows (e.g., Claude Code, Cursor, Codex) to accelerate development, testing, and experimentation.
• Excellent communication, organizational, and interpersonal skills.

Ways To Stand Out

• Contributions to widely used SLAM, SfM, or 3D reconstruction systems (open source or shipped products).
• Experience with large-scale model training on GPU clusters, including VLMs or other foundation models.
• Publications at top computer vision or robotics venues (CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL).
• Hands-on experience with simulation-based training and evaluation, sim-to-real and real-to-sim transfer.

Compensation and Benefits

• Base salary ranges by level:
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligible for equity and company benefits (link provided in original posting).

Additional Information

• Applications accepted at least until July 20, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.