Marvell's semiconductor solutions are essential for data infrastructure. This internship aims to support the design and development of analog/mixed-signal IC and AI systems to drive Marvell's product and R&D roadmap.
Requirements
Strong fundamentals in one or more of the following: Analog/mixed-signal IC design, Signal processing, control theory, or convex optimization, Deep learning systems or model development
Experience with either circuit design tools (Cadence, Spectre, etc.) or AI frameworks (PyTorch, TensorFlow, etc.)
Familiarity with scripting (Python, MATLAB) or data visualization tools
Responsibilities
Support the design and simulation of building blocks such as PLLs, regulators, buffers, and SERDES circuits.
Learn industry-standard tools (e.g., Spectre, Virtuoso, MATLAB, python) and assist in analyzing performance trade-offs.
Help correlate simulation results with silicon data in lab environments.
Explore AI workflows and develop scripts/models that assist in IC calibration, prediction, or optimization.
Contribute to prototyping and automation tasks involving Python, PyTorch, or other ML frameworks.
Participate in cross-functional work that brings together hardware, software, and algorithm layers.
Assist with system-level test setups, data analysis, and verification tasks.
Other
Enrolled in a Master’s or early-stage PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Excellent analytical thinking, communication, and a growth mindset.
Prior internship or research experience in IC design, AI workflows, or system modeling
