Kodiak Robotics10.04.26
AI SCORE 8.5

Research Scientist - Autonomous Vehicle World Models

$180K–$240K/year

About the Role

We are seeking a Research Scientist - Autonomous Vehicle World Models to join our innovative team at Kodiak Robotics, Inc. As a leader in autonomous ground transportation, we are committed to creating a safer and more efficient future. In this role, you will focus on developing generative world models that predict realistic driving scenarios, enhancing our autonomous vehicle technology.

What You'll Do

  • 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 in generated outputs, utilizing neural rendering, cross-view attention, and 3D-aware generative approaches.
  • Build methods for joint multimodal generation that maintain cross-sensor consistency between camera, LiDAR, and radar outputs.
  • Design evaluation frameworks that measure 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

  • MS or PhD in Computer Science, AI, Robotics, or a related field, with a focus on generative modeling, neural rendering, or video synthesis.
  • Strong publication record or demonstrated research contributions in diffusion models, video generation, neural radiance fields, 3D-aware generative models, or world models.
  • Experience with neural rendering and view synthesis and an understanding of 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.

Nice to Have

  • Experience in developing AI systems for real-world applications.
  • Knowledge of autonomous vehicle regulations and safety standards.
  • Familiarity with cloud computing platforms for model training.

What We Offer

  • Competitive compensation package including equity and annual bonuses.
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife.
  • Flexible PTO, 10 paid holidays, and generous parental leave policies.
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging.
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna.
  • Fidelity 401(k) and various incentive programs (referral bonuses, patent bonuses, etc.).

Join us as a Research Scientist - Autonomous Vehicle World Models and contribute to the future of autonomous driving technology. Apply now for this exciting opportunity!

Why This Job8.5 of 10

This Research Scientist role at Kodiak Robotics offers a unique opportunity to work on cutting-edge AI technology for autonomous vehicles. With a competitive salary and excellent benefits, it's an attractive position for professionals in the field.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and PyTorch for developing and refining neural networks, with experience in implementing generative models for real-world applications in autonomous vehicles.

Self-motivated and disciplined, excelling in a remote work environment, capable of managing time effectively and maintaining productivity without direct supervision.

Strong foundational knowledge in Lidar technology and 3D modeling, with a creative approach to problem-solving that enables innovative thinking when designing world models for dynamic driving scenarios.

Learning Resources

Deep Learning with PyTorchguide

Career Path

Research Scientist - Autonomous Vehicle World Models(Now)Senior Research Scientist - Autonomous Systems(2-4 years)Lead Research Scientist - AI and Robotics(4-6 years)

Market Overview

Market Size 2024
$25B
Annual Growth
15.2%
AI Adoption
72%
Investment
+200%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonPyTorchAI
Growing in Demand
TensorFlowReinforcement LearningComputer Vision
Declining
MATLABOpenCV 2.x

Domain Trends

Rise of Generative AI in Autonomous Systems
The adoption of generative models in autonomous vehicles is projected to increase by 40% over the next 2 years, enhancing simulation and predictive capabilities.
Integration of Lidar with Machine Learning
The market for Lidar technology in autonomous vehicles is expected to grow by 25% annually, driven by advances in AI algorithms that improve data interpretation.
Remote Work in Research Roles
A recent survey indicates that 65% of research scientists in the autonomous vehicle sector prefer remote work, leading to a 50% increase in remote job postings in this field.

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