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Applied Intuition is a $15B-valued AI company (founded 2017) powering physical AI across automotive, defense, trucking, construction, mining, and agriculture. The company serves 18 of the top 20 global automakers and the US military with tools, operating systems, and autonomy solutions.
You will join the team advancing Neural Simulation, a state-of-the-art product that transforms real-world driving data into high-fidelity, photorealistic simulation environments. As a Senior ML Engineer focused on 3D reconstruction, you will push the boundaries of learning-based reconstruction technology, directly shaping how the world's largest OEMs develop next-generation data-driven autonomous vehicles.
Key responsibilities:
- Advance learning-based reconstruction methods (3D Gaussian Splatting, NeRFs) from research into production, improving fidelity, robustness, and scalability
- Push limits of neural reconstruction for large-scale, dynamic driving scenes: dynamic actor reconstruction, novel view synthesis, multi-sensor rendering (camera, LiDAR), and scaling across fleet data
- Explore and productionize feed-forward reconstruction approaches to reduce per-scene optimization cost and enable reconstruction at scale
- Define and build evaluation metrics, benchmarks, and validation workflows measuring reconstruction fidelity and sim-to-real gap
- Work closely with customers to understand pain points and implement technical solutions
- Collaborate with Infra, Autonomy, Research, and product teams on end-to-end solutions
- Take ownership of critical technical components and influence architecture and product decisions
The role is ideal for engineers thriving at the intersection of 3D computer vision, graphics, and machine learning, excited to bring cutting-edge research into production and solve hard simulation challenges in Physical AI.
Applied Intuition is headquartered in Sunnyvale with offices globally (Washington DC, San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, Tokyo). The company operates in-office with expectation of 5 days/week from the office, with flexibility for occasional remote work and schedule adjustments.
REQUIREMENTS:
- 5+ years developing and shipping ML or computer vision systems
- Bachelor's degree minimum in computer science, physics, robotics, or equivalent
- Strong hands-on experience with modern learning-based 3D reconstruction techniques (3D Gaussian Splatting, NeRFs)
- Solid foundation in multi-view geometry, camera models, and differentiable rendering
- Proficiency in Python and PyTorch, plus C++ and/or CUDA
- Proven ability to turn research ideas into robust, production-quality software
- Strong problem-solving skills and comfort with ambiguity
NICE TO HAVE:
- Experience with feed-forward or generalizable Gaussian Splatting and reconstruction models
- Background in computer vision (SfM, SLAM, photogrammetry) and/or computer graphics (rendering, rasterization, ray tracing)
- Track record shipping ML products with defined evaluation metrics and benchmarks
- Experience in autonomous driving or robotics with multi-sensor data (camera, LiDAR, radar)
- Peer-reviewed research at CVPR, ICCV/ECCV, NeurIPS, SIGGRAPH, ICRA, or IROS
- Master's degree or PhD in computer science, physics, robotics, or related fields
