Next Gen AI Systems And Infrastructure Research Internship By Marvell Technology India
Next Gen AI Systems And Infrastructure Research Internship By Marvell Technology India
Marvell is a global leader in semiconductor solutions that power the data infrastructure connecting enterprise, cloud, AI, and carrier networks worldwide. The Next-Gen AI Systems & Infrastructure Research Internship offers PhD and research-focused students a unique opportunity to work on cutting-edge technologies shaping the future of large-scale AI systems. As a Research Intern, selected candidates will collaborate with senior architects to explore scalable, high-performance AI system architectures. The role focuses on system-level innovation, advanced networking, hardware–software co-design, and next-generation data movement solutions. This internship provides hands-on exposure to real-world AI infrastructure challenges in a collaborative, research-driven environment.
Documents Required
Applicants submit the following documents:
  • Resume/CV
  • Valid Email ID
  • Mobile No.
  • Study Mark Sheets
  • Certificates (If you have)
  • Cover letter (If applicable)
  • Eligibility Criteria
    Applicants must meet the following criteria:
  • Applicants must be enrolled in a PhD or MS by Research program.
  • Field of study should be Computer Science, Computer Engineering, Electrical Engineering, or related disciplines.
  • Strong fundamentals in computer architecture, systems, or distributed computing.
  • Proficiency in C, C++, Python, or similar programming languages.
  • Ability to conduct experiments, analyze results, and communicate findings effectively.
  • Must meet eligibility requirements related to U.S. export control regulations.
    Note: This internship is exclusively available in India. Specifically, available in Hyderabad.
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    Responsibilities
    Interns will:
  • Perform AI system-level modeling and simulation for scale-out platforms.
  • Research autonomous, agentic, and self-configuring system architectures.
  • Explore high-performance networking and transport innovations for AI compute fabrics.
  • Work on memory disaggregation and system-level fabric architectures.
  • Assist in protocol acceleration unit design and architectural modeling.
  • Collaborate with senior architects to prototype ideas and evaluate system performance.
  • How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Prepare the necessary documents as specified in the application requirements.
    8. Upload these documents in the designated sections of the application form.
    9. Before submitting, review all the information you have provided.
    10. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Stipend

    Next Gen AI Systems And Infrastructure Research Internship By Marvell Technology India
    SCHOLARSHIP PROVIDER
    MongoDB IndiaMarvell Technology India
    APPLICATION DEADLINE
    10 January
    EDUCATION LEVEL
    Masters
    PHD
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    Marvell is a global leader in semiconductor solutions that power the data infrastructure connecting enterprise, cloud, AI, and carrier networks worldwide. The Next-Gen AI Systems & Infrastructure Research Internship offers PhD and research-focused students a unique opportunity to work on cutting-edge technologies shaping the future of large-scale AI systems. As a Research Intern, selected candidates will collaborate with senior architects to explore scalable, high-performance AI system architectures. The role focuses on system-level innovation, advanced networking, hardware–software co-design, and next-generation data movement solutions. This internship provides hands-on exposure to real-world AI infrastructure challenges in a collaborative, research-driven environment.