Research Intern, Physical AI and GPU (PhD)

What You'll Do

• Prototype and prove what next-generation Physical AI platforms can do Write and optimize CUDA to extract maximum performance from limited memory and low-end GPUs Build the compute, networking, and security platforms that autonomous systems run on Engineer agentic capabilities — systems that plan, decide, and act on their own Design and train ML models and SLMs for perception, reasoning, and action on real-world input (video, audio, sensors) What We're Looking For Eligibility: Enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, electronics or Electrical Engineering, Robotics or a related field.
• Requirements Strong GPU and CUDA programming skills — kernel optimization, memory management, and performance tuning under tight resource constraints Strong fundamentals in machine learning, computer architecture, and systems Experience with robotic platforms or real-world AI applications (perception, sensors, or real-time control) Programming in C/C++ and Python Hands-on with ML modeling, training, and fine-tuning (PyTorch or TensorFlow) Preferred: Exposure to model optimization and quantization for constrained hardware, robotics frameworks (e.g., ROS), on-device inference, agentic systems, or next-generation AI silicon. 

 Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity.
• We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us.
• For additional information on what it’s like to work at Marvell, visit our Careers page.
• Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
• These tools must not be used to record, assist with, or enhance responses in any way.
• Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time.
• Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
• This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR).
• As such, applicants must be eligible to access export-controlled information as defined under applicable law.
• Marvell may be required to obtain export licensing approval from the U.S.
• Department of Commerce and/or the U.S.
• Department of State.
• Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-TT1