NVIDIA 2027 Internships: Ph.D. Research Autonomous Vehicles

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Collaboration"]

Design and implement cutting-edge techniques for vehicle autonomy within NVIDIA’s Autonomous Vehicles research teams. Collaborate with internal teams and external researchers, then transfer research outcomes into product groups to enable new products, prototypes, patents, and original publications. The internship is for Ph.D. students in computer science or electrical engineering and includes work spanning areas such as AV architectures, reinforcement learning, diffusion/trajectory decoding, and safety-focused modeling.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Ph.D. Research Autonomous Vehicles

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Last checked: 1 hour agoStatus: Live

Job Summary

Design and implement cutting-edge techniques for vehicle autonomy within NVIDIA’s Autonomous Vehicles research teams. Collaborate with internal teams and external researchers, then transfer research outcomes into product groups to enable new products, prototypes, patents, and original publications. The internship is for Ph.D. students in computer science or electrical engineering and includes work spanning areas such as AV architectures, reinforcement learning, diffusion/trajectory decoding, and safety-focused modeling.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Design and implement cutting-edge techniques in vehicle autonomy.
  • •Collaborate with team members, other teams, and/or external researchers.
  • •Transfer research to product groups to enable new products or product types.
  • •Deliver prototypes, patents, products, and/or publishing original research.
  • •Contribute to research areas that may include AV architectures, RL methods, diffusion/trajectory decoding, digital twins, and safety-focused modeling.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full internship duration.
  • •Indicate your anticipated graduation month and year on your resume or CV.
  • •Have programming skills/knowledge that may include Python, C++, CUDA, and deep learning frameworks (e.g., PyTorch, TensorFlow).
  • •Demonstrate strong research background with publications at top conferences.
  • •Have excellent communication and collaboration skills (experience with large-scale model training is a plus).
Experience:Autonomous vehiclesReinforcement learningComputer vision
Education:PhD / Doctorate in Computer Science, Electrical Engineering, or related field
Skills:CommunicationCollaboration
Tech Stack:PythonC++CUDAPyTorchTensorFlow

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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