Senior Software Engineer, Spatial Intelligence and Foundation Models

What you'll do

• Design algorithms for spatial understanding, including SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction.
• Develop and evaluate perception, mapping, and reasoning systems and train vision-language models for robotics.
• Integrate, validate, and release capabilities on physical robots and in simulations, collaborating across research and engineering teams.

What they ask for

• 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, such as multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence.
• Strong programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow).

Nice to have

• Contributions to widely used SLAM, SfM, or 3D reconstruction systems; large-scale model training on GPU clusters; publications at listed computer vision or robotics venues; or simulation-based training and transfer experience.
• Familiarity with vision-language models.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

Python, C++, PyTorch, JAX, TensorFlow, Claude Code, Cursor, Codex

AI focus

Train and evaluate vision-language models for robotics spatial reasoning; build perception systems and data pipelines for foundation-model training. Use AI coding agents and agentic workflows to accelerate development, testing, and experimentation.