Research Engineer - New Grad (2027)

Applied Intuition
Sunnyvale
Workplace: OnsiteFull timeUSD 140,000 - 200,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Collaboration","Independent work","Research mindset","Engineering skills"]

Join the Research Group to turn strong academic work into shipped autonomy systems. You’ll collaborate with ADAS stack and simulation teams to test and deploy end-to-end algorithms, data-driven generation, and safety-robustness research. Contribute to architecture design and robustness/safety improvements for Applied Intuition’s differentiable stack, while working with Research Scientists and interns to publish high-quality results for top conferences.

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Applied Intuition
Applied Intuition
6 days ago

Research Engineer - New Grad (2027)

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Last checked: 1 hour agoStatus: Live

Job Summary

Join the Research Group to turn strong academic work into shipped autonomy systems. You’ll collaborate with ADAS stack and simulation teams to test and deploy end-to-end algorithms, data-driven generation, and safety-robustness research. Contribute to architecture design and robustness/safety improvements for Applied Intuition’s differentiable stack, while working with Research Scientists and interns to publish high-quality results for top conferences.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Collaborate with an ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles.
  • •Collaborate with a simulation team to deploy data-driven generation algorithms for highly efficient and automated tools.
  • •Conduct research on architecture design, robustness, safety, and language modality incorporation for a differentiable autonomy stack.
  • •Work with Research Scientists and interns to produce high-quality research publications for submission to top-tier conferences.

Pay and Benefits

Salary: USD 140,000 - 200,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Hands-on experience in at least one area such as world-action foundation models, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning, or physics-aware reconstruction/deformable simulation.
  • •An MSc or PhD in machine learning and computer vision with autonomy and robotics applications (graduating by December 2026 or Summer 2027).
  • •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.
  • •Technical experience in Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.
Experience:Autonomous drivingRoboticsComputer visionMachine learningDistributed training
Education:Master's in machine learning and computer vision with autonomy and robotics applications
Skills:CollaborationIndependent workResearch mindsetEngineering skills
Tech Stack:PythonPyTorchComputer visionRobotics systemsDistributed machine learningWorld-action foundation modelDiffusion policyReinforcement learningPhysics-aware reconstructionDeformable simulation

Company Brief

Applied Intuition
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