Research Engineer - Reinforcement Learning, Self-Driving

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeFunction: Education & TrainingSkills: ["Problem-solving","Communication","Leadership"]

Research Engineer role in Applied Intuition's AI Research group focusing on reinforcement learning infrastructure for autonomous driving and robotics. You’ll conduct RL research, collaborate with scientists and engineers to publish in top conferences, and deploy end-to-end algorithms for mass production vehicles while leveraging scalable training pipelines and neural simulation tools.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
6 months ago

Research Engineer - Reinforcement Learning, Self-Driving

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Research Engineer role in Applied Intuition's AI Research group focusing on reinforcement learning infrastructure for autonomous driving and robotics. You’ll conduct RL research, collaborate with scientists and engineers to publish in top conferences, and deploy end-to-end algorithms for mass production vehicles while leveraging scalable training pipelines and neural simulation tools.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Conduct research on reinforcement learning and its training infrastructure, including large-scale self-play RL and neural simulation for autonomous driving
  • •Collaborate with Research Scientists and interns to produce high-quality research publications for top-tier conferences
  • •Work with engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles and tools supporting autonomy development
  • •Contribute to development of scalable RL training infrastructure and practical deployments that deliver value to customers
  • •Support and mentor junior researchers and interns as part of a fast-paced, customer-focused culture

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityLearning BudgetWellness StipendPaid Leave

Key Requirements

  • •Hands-on experience in at least one of the following fields: Self-play RL and imitation learning; VLA post-training for autonomy or robotics; Large-scale closed-loop RL in driving simulation; Large-scale RL training infrastructure (Ray preferred).
  • •Passion for next-generation, scalable autonomy and robotics for real-world systems
  • •Strong engineering and research skills with the ability to work independently and collaboratively on projects
  • •Technical experience in Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training
  • •Excellent communication and collaboration skills to work with Researchers, interns, and engineering teams
Experience:AutonomyRoboticsSelf-drivingReinforcement learning
Skills:Problem-solvingCommunicationLeadership
Tech Stack:PythonPyTorchComputer visionRoboticsDistributed machine learningRay

Company Brief

Applied Industrial Technologies
Builds software tools for autonomous vehicle development, including simulation, validation, and data infrastructure for automakers and robotics teams. Also supports defense applications with autonomy-focused testing and deployment platforms.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2017
WebsiteLinkedIn