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NVIDIA

PhD Research Intern, Autonomous Systems and Physical AI Research - 2027 - Zurich, Switzerland

NVIDIA Switzerland, Zurich, Switzerland Full-time 7 days ago
AI/ML Hardware

Originally posted 28 September 2026 by the employer.

About the role

This PhD Research Intern role focuses on foundational research in autonomous vehicles, robotics, and physical AI.

What you'll do

  • Design and implement techniques for autonomous vehicles, robotics, and physical AI.
  • Conduct original research and publish results.
  • Collaborate with research colleagues, internal product teams, and external researchers.
  • Transfer developed technology to relevant product groups.

What you'll need

  • Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field.
  • Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
  • Strong knowledge of the theory and practice of vehicle or robot autonomy.
  • Track record of research excellence, demonstrated through publications at conferences and journals (e.g., RSS, ICRA, CoRL, IJRR, NeurIPS, ICML, CVPR, TAC) and open-source software.
  • Exceptional Python programming skills.
  • Experience with machine learning frameworks such as PyTorch.

Nice to have

  • Experience with C++ and parallel programming, such as CUDA.

Skills: Autonomous Systems, Physical AI, Robotics, Deep Learning, PyTorch

Market context

This role has been open 0 days — well below the 69-day median for AI/ML Hardware Engineering roles.

AI/ML Hardware Engineering · AI ML Hardware

Open roles in category
507
Median days open
69 d
Median salary
$225k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in AI/ML Hardware Engineering hiring
Metric NVIDIA All employers we track in this specialty (507 roles · 75 employers)
Open roles in this specialty 82 507
Open roles in the wider Software, Firmware & Systems family 945 5864 · 143 employers
Median days open 66 d 69 d (−3 d vs this employer)
Median salary (USD postings) — $225k

Skills observed across this category: Autonomous Systems, Physical AI, Robotics, Deep Learning, PyTorch

Who's hiring in this category

  • Qualcomm · 104 open roles · median 103 d
  • NVIDIA (this employer) · 81 open roles · median 66 d
  • AMD · 46 open roles · median 62 d
  • Micron Technology · 32 open roles · median 46 d
  • Mobileye · 21 open roles · median 62 d
  • Analog Devices · 14 open roles · median 31 d

How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 28 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
Switzerland, Zurich, Switzerland
On-site
Full-time
7 days ago

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