Next-Gen AI Systems & Infrastructure Research Intern - PhD

Marvell is a global leader in semiconductor solutions that underpin the data infrastructure connecting our world. Serving enterprise, cloud, AI, and carrier architectures, the company’s cutting-edge technology enables transformative possibilities across various industries. At Marvell, employees have the chance to make a meaningful impact on individual lives and entire sectors while contributing to lasting innovation. The organization promotes a dynamic environment where professionals can grow, learn, and lead beyond transient trends.

You will be part of a team dedicated to engineering core technologies for scalable, high-performance AI systems. This role involves redefining system architectures, autonomous self-management, advanced system fabrics, and hardware–software co-design for next-generation AI platforms. Your responsibilities will include AI system-level modeling and simulation for scale-out platforms, developing agentic and autonomous system architectures, innovating high-performance networking and transport solutions across AI compute fabrics, and designing memory disaggregation and system-level fabric architectures for large AI systems. You will also engage in protocol acceleration unit design and architectural modeling. Collaboration with senior architects to prototype concepts, evaluate performance, and influence emerging system designs will be a key aspect of your work.

Key Responsibilities
- Conduct AI system-level modeling and simulation for scalable platforms
- Develop agentic, autonomous, and self-configuring system architectures
- Innovate high-performance networking and transport solutions across AI compute fabrics
- Design memory disaggregation and system-level fabric architectures for large AI systems
- Participate in protocol acceleration unit design and architectural modeling
- Collaborate with senior architects to prototype concepts, assess performance, and shape system designs

Required Qualifications
- Enrollment in a PhD or MS by Research program in Computer Science, Computer Engineering, Electrical Engineering, or related fields
- Strong fundamentals in computer architecture, systems, or distributed computing
- Experience in one or more of the following areas: system/architecture modeling or analysis; networking, interconnects, or system fabrics; AI/ML systems or platforms; hardware–software co-design or FPGA prototyping
- Proficiency in C/C++, Python, or similar programming languages
- Ability to generate innovative ideas, conduct experiments, and communicate results effectively

Preferred Qualifications and Benefits
- Exposure to large-scale computing or cluster systems
- Experience with simulators, profiling tools, or performance analysis
- Interest in architectural innovation and next-generation data movement

Marvell provides competitive compensation and comprehensive benefits within a collaborative, transparent, and inclusive work environment. The company is dedicated to equipping employees with the resources and support needed to succeed and grow while working on impactful projects. Marvell is an equal opportunity employer, welcoming all qualified applicants regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Candidates should be aware that Marvell’s interview process focuses on authentic, real-time evaluation of personal experience, thought processes, and communication skills. The use of AI tools during interviews is strictly prohibited and may lead to disqualification. Additionally, this position may require access to technology and software subject to U.S. export control laws. Applicants must be eligible to access export-controlled information, and non-U.S. citizens may undergo export license review prior to employment.