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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Spatial Intelligence... - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Computer Vision, C++ (Programming Language), Computer Clusters, Computer Programming, Cursor (Graphical User Interface Elements), Python (Programming Language), Language Modeling, Open Source Technology, Tensorflow, Pytorch, Deep Learning, Information Technology, Free and Open-Source Software - **Published:** July 18, 2026 - **Apply:** https://www.juju.com/job/00000000ghgm3w ## About the Role + 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. + 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. + Excellent communication, organizational, and interpersonal skills. Ways to stand out from the crowd: + 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. ## Description + 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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