About the Role
The role involves designing and building intelligent agents that populate simulation environments with realistic behaviors to improve the training and testing of autonomous systems. The scientist will work at the intersection of machine learning, behavioral modeling, and simulation engineering.
Responsibilities
- Design and implement agent models that simulate human-like driving behaviors
- Develop scalable systems for generating diverse and complex traffic scenarios
- Collaborate with machine learning teams to train and evaluate agent policies
- Enhance simulation realism through data-driven behavioral modeling
- Integrate agent systems into large-scale virtual testing environments
- Analyze agent performance under edge-case conditions
- Improve agent decision-making using reinforcement learning techniques
- Work with perception teams to validate sensor responses to agent actions
- Create tools for monitoring and debugging agent behavior in simulation
- Contribute to the development of metrics for agent fidelity and coverage
- Optimize agent systems for computational efficiency and speed
- Ensure agent behaviors align with real-world traffic patterns and rules
- Support scenario authoring with programmable and trainable agent components
- Research novel methods for multi-agent interaction modeling
- Evaluate generalization of agent policies across environments
- Collaborate on safety-critical testing using adversarial agent strategies
- Document system designs and share findings across teams
- Stay current with advancements in simulation, AI, and autonomous systems
- Contribute to open-source or internal simulation frameworks
- Support validation of autonomous vehicle decision systems using agent-in-the-loop testing
Nice to Have
- Experience with autonomous vehicle simulation platforms
- Background in cognitive science or human behavior modeling
- Knowledge of formal verification methods for agent systems
- Experience deploying agents in production simulation environments
- Contributions to open-source simulation or AI projects
- Familiarity with urban planning or transportation engineering concepts
Compensation
Competitive salary and equity offered based on experience and qualifications.
Work Arrangement
Hybrid work model with flexibility to work remotely and on-site as needed.
Team
Collaborative team of researchers, engineers, and scientists focused on simulation and AI development.
What We're Building
We are creating a next-generation simulation platform that enables autonomous vehicles to encounter and learn from billions of miles of realistic driving scenarios. This platform relies on intelligent agents that behave like real drivers, pedestrians, and cyclists to generate complex, interactive environments for testing and training.
Why This Role Matters
Autonomous systems must be tested under vast and diverse conditions before deployment. Human-like agents in simulation allow for safe, repeatable, and scalable evaluation of decision-making systems, accelerating development while maintaining safety standards.
Visa sponsorship available for qualified candidates requiring work authorization.
