Drive innovations in autonomous vehicle technology using deep learning and reinforcement learning
Job Summary
Drive innovations in autonomous vehicle technology using deep learning and reinforcement learning.
Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles.
Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
Matching Summary
Drive innovations in autonomous vehicle technology using deep learning and reinforcement learning.
Salary
$254,000—$336,000 USD
Skills & Requirements
Must-have
Deep learning and reinforcement learning
Agentic software systems
End-to-end system integration
Data-driven innovation
LLM understanding and application
Reinforcement learning for autonomous systems
Nice-to-have
Simulation or real-world validation
Deep learning research and development
Generative AI (diffusion, autoregressive models)
Multi-modal sensor data processing
ML Ops best practices
Python and C/C++ programming skills
Key Requirements
Sophisticated knowledge of LLM's
Solid experience with reinforcement learning methods
Proven experience of shipping products end to end
Experience with simulation or real-world validation
Degree in Computer Science, Robotics, Machine Learning, or equivalent practical experience
Eligible to obtain and maintain an active U.S. Top Secret security clearance
Travel up to 40+% of time
Work Rights
Must have or be eligible for U.S. Top Secret security clearance