AI Sr. Principal Engineer

Job Title

AI Sr. Principal Engineer

Role Summary

Senior technical role to design and ship foundational machine-learning systems that accelerate analog/mixed-signal IC design. The position sits on a cross-disciplinary team of ML researchers, systems engineers, mathematicians, and circuit experts building reproducible, scalable tooling that verifies against physical silicon.

Experience Level

Senior. No specific years-of-experience requirement stated.

Responsibilities

Deliver research and engineering that integrates ML, systems, and physical verification into production-quality tools.

• Develop representations and learned models for structured engineering artifacts (graphs, netlists, layouts, physical models).
• Design and implement learning and optimization systems that search large design spaces and converge on physically verified solutions.
• Build scalable, reproducible data, modeling, and compute infrastructure to support research and product workflows.
• Create fast learned surrogates to replace slow physical simulation where appropriate.
• Implement robust, tested software and productionize research prototypes (Python; PyTorch experience is a plus).
• Enable tooling and agentic layers that assist or automate expert engineering tasks.
• Collaborate with domain experts to validate models against silicon and iterate on real-world feedback.

Requirements

Must-have technical skills and attributes; nice-to-have items noted where applicable.

• Must-have: Deep expertise in at least one area: machine learning, large-scale systems, applied mathematics/optimization, or analog/mixed-signal design.
• Must-have: Strong software fundamentals; fluent in Python. Experience turning research into robust, tested code.
• Must-have: Demonstrated ability to learn deeply in unfamiliar domains (papers, projects, open source, or shipped systems).
• Must-have: Preference for building durable systems: clean abstractions, reproducibility, and scale.
• Experience with model compression/quantization, sparse linear algebra, graph methods, or physics-informed ML is relevant.
• Comfort working in cross-disciplinary teams (researchers, hardware designers, and systems engineers).
• Requirement: May require eligibility to access export-controlled technology; applicants may be subject to export license review.
• Nice-to-have: PyTorch experience, background in compilers, distributed systems, or theoretical/mathematical ML that applies to structured physical domains.

Education Requirements

MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or equivalent research/industry track record (the posting explicitly allows equivalent practical experience in lieu of degree).

Expected base pay range (USD): 202,900 - 300,260 per year.

Reasonable accommodation: applicants who require a reasonable accommodation during the selection process may contact Marvell HR Helpdesk at TAOps@marvell.com.

About the Company

Company: Marvell Technology

Headquarters: Santa Clara, California, United States

Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.