K
Posted 21 hours ago
World Model Research Scientist - Physical AI
Kodiak Robotics
Perks & benefits
Health InsurancePaid Leave
Requirements
PhD in Computer Science, AI, Robotics, or related field with focus on generative modeling, neural rendering, or video synthesis, Strong publication record in diffusion models, video generation, neural radiance fields, 3D-aware generative models, or world models, Experience with neural rendering, view synthesis, and multi-view geometric consistency, Proficiency with multimodal sensor data (camera, LiDAR, radar) and 3D representations such as BEV grids, voxel fields, or tri-planes, Strong Python and PyTorch skills with distributed training experience, Passion for building AI that understands and predicts the physical world for safe autonomous driving
Skills
PyTorchdiffusion modelsLiDARComputer Vision
About the role
Responsibilities
- Design and train generative world models that synthesize realistic multi-camera video and LiDAR conditioned on ego trajectories, 3D scene context, and text
- Research and implement conditional diffusion architectures for driving, including spatiotemporal attention, latent space design, and action-conditioned generation
- Develop techniques for multi-view geometric consistency using neural rendering, cross-view attention, and 3D-aware generative approaches
- Build methods for joint multimodal generation maintaining cross-sensor consistency between camera, LiDAR, and radar outputs
- Design evaluation frameworks measuring world model quality beyond pixel-level metrics, including scenario fidelity and autoregressive stability
- Scale training pipelines to learn from thousands of hours of real-world driving data across multiple sensor modalities
Requirements
- PhD in Computer Science, AI, Robotics, or a related field with focus on generative modeling, neural rendering, or video synthesis
- Strong publication record in diffusion models, video generation, neural radiance fields, 3D-aware generative models, or world models
- Experience with neural rendering, view synthesis, and multi-view geometric consistency
- Proficiency working with multimodal sensor data (camera, LiDAR, radar) and familiarity with 3D representations such as BEV grids, voxel fields, or tri-planes
- Strong implementation skills in Python and PyTorch, with experience training large generative models at scale using distributed training
- Passion for building AI that understands and predicts the physical world to enable safe autonomous driving
Benefits
- Competitive compensation package including equity and annual bonuses
- Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife
- Flexible PTO, 10 paid holidays, and generous parental leave policies
- Office perks including dog-friendly environment, free catered lunch, fully stocked kitchen, and free EV charging
- Wellbeing benefits including Headspace, Calm, One Medical, Gympass, Spring Health, and Rula
- Fidelity 401(k), commuter benefits, FSA, Dependent Care FSA, and HSA
About the Company
Kodiak Robotics builds an AI-powered technology stack for commercial trucking and the public sector, delivering freight daily using autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. The company is also leveraging its commercial self-driving software to develop autonomous capabilities for the U.S. Department of Defense.
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Kodiak Robotics Β· Mountain View
