Responsibilities
- Design, develop, and deploy learned behavior planning models using approaches such as reinforcement learning, behavior cloning, and imitation learning
- Own end-to-end Reinforcement Learning pipeline from environment construction, training, and modeling.
- Contribute to Reinforcement Learning Infrastructure to facilitate large-scale distributed training
- Track model training, analyze model performance, identify failure modes to improve generalization across driving scenarios
- Collaborate with simulation and planning teams to deploy learned behavior planning models to driving pipelines
Required skills
- MS or PhD in Computer/Software Engineering, Robotics, Machine Learning or related field.
- Experience developing production code in C/C++ and Python
- Experience with machine learning frameworks such as PyTorch
- Experience with reinforcement learning
- Strong oral and written communication skills.
Preferred skills
- Experience with high-throughput batched driving simulators such as GPUDrive and PufferDrive
- Experience with self-play reinforcement learning
- Experience with sim-to-real in the context of robotics / autonomous driving
- Prior experience in learned behavior planning / prediction for autonomous vehicles
Skills Required
- MS or PhD in Computer Engineering, Software Engineering, Robotics, Machine Learning, or a related field
- Production programming experience in C, C++, and Python
- Experience with machine learning frameworks such as PyTorch
- Experience with reinforcement learning
- Strong oral and written communication skills
- Experience with high-throughput batched driving simulators such as GPUDrive and PufferDrive
- Experience with self-play reinforcement learning
- Experience with sim-to-real in robotics or autonomous driving
- Experience in learned behavior planning or prediction for autonomous vehicles
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai







