Research Engineer - Robot Learning

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeUSD 126,000 - 423,000 annuallyFunction: Education & TrainingSkills: ["Collaboration","Communication","Problem-solving","Teamwork"]

Research Engineer to advance autonomous driving and robotic generalist AI. Design mechatronic systems, build scalable robotic simulation environments for RL, process data, publish research, and collaborate with engineers to deploy end-to-end autonomy solutions for mass production vehicles.

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Applied Industrial Technologies
Applied Industrial Technologies
1 year ago

Research Engineer - Robot Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Research Engineer to advance autonomous driving and robotic generalist AI. Design mechatronic systems, build scalable robotic simulation environments for RL, process data, publish research, and collaborate with engineers to deploy end-to-end autonomy solutions for mass production vehicles.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
  • •Construct robotic simulation environments at scale and use it for RL training
  • •Process human data for robotic use cases
  • •Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
  • •Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Pay and Benefits

Salary: USD 126,000 - 423,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kLearning StipendWellness StipendPaid Leave

Key Requirements

  • •Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning; VLA post-training, reinforcement learning; Physics-aware reconstruction, deformable simulation.
  • •Passion for next-generation, scalable autonomy and robotics for real-world systems
  • •Strong engineering and research skills and the ability to work both independently and collaboratively on projects
  • •Technical experience in: Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training
Experience:RoboticsAutonomous systemsAI
Skills:CollaborationCommunicationProblem-solvingTeamwork
Tech Stack:PythonPyTorchComputer visionRoboticsDistributed training

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