About the role#
This Ph.D. internship places doctoral candidates directly into active architecture and research efforts. You will work on systems-level problems at the boundary of research and production, where your algorithms and architectures influence how AI infrastructure performs at scale. The role involves applying academic research to production-scale constraints for hyperscale customers.
What you'll do#
- Architect, model, and evaluate system-level designs for switching, interconnect, or DSP applications.
- Develop and optimize DSP algorithms for high-speed electrical or optical links, including equalization, FEC, and signal integrity techniques.
- Design and analyze network architectures for AI fabrics, such as forwarding pipelines, congestion control, and traffic management.
- Build behavioral models and simulations using MATLAB, Python, or C++ to evaluate performance tradeoffs.
- Collaborate with analog, digital, and software engineering teams to validate architectural assumptions against hardware and silicon measurements.
- Present architectural proposals and research results to engineering leadership while contributing to technical documentation and design reviews.
What you'll need#
- Current enrollment in a Ph.D. program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Research focus in computer architecture, digital signal processing, communications systems, or networking.
- Demonstrated research experience in processor or switch architecture, DSP algorithm design, network protocol design, or system-level modeling.
- Strong analytical fundamentals in signal processing theory, queuing theory, information theory, or computer architecture.
- Proficiency in modeling and simulating complex systems using MATLAB, Python, or C/C++.
- Ability to communicate architectural decisions and algorithm tradeoffs clearly.
- Experience with PAM4, coherent, or high-speed serial link DSP is preferred.
- Knowledge of Ultra Ethernet Consortium protocols, RoCE, RDMA, or open networking platforms like SONiC or P4 is a plus.
- Familiarity with Verilog, SystemVerilog, or cycle-accurate simulation is considered an asset.
Location & details#
- Locations: Santa Clara, CA; Irvine, CA; Austin, TX; Burlington, VT; Westborough, MA; Westlake Village, CA.
- Work modality: On-site.
- Employment type: Full-time.
- Term: Rolling.
- Compensation: This is a paid internship.
About Marvell Technology
Marvell Technology is a semiconductor manufacturing company based in Santa Clara, California. It provides hardware solutions for cloud infrastructure, data centers, and enterprise systems. The company employs over 11,000 people across global offices. Its technical focus includes wireless and wireline connectivity, storage, and consumer electronics.
How to get in at Marvell Technology
Applying early for an internship at Marvell Technology provides a distinct advantage, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person can also help you stand out from the crowd. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
