Designed for your current needs and future ambitions, Marvell delivers the data infrastructure technology transforming tomorrow’s enterprise, cloud, automotive, and carrier architectures for the better.
About the role
We're building an enduring AI ecosystem at the intersection of machine learning and hardware engineering — systems that learn from how engineering actually plays out in the real world, and get measurably better over time. The domain is analog/mixed-signal IC design: a sparse, deeply structured, physics-governed problem where the ultimate feedback signal is silicon itself. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- MS/PhD in CS, EE, CompE, Applied Math, Physics, or equivalent research/industry track record
- Deep expertise in at least one of: machine learning, large-scale systems, applied mathematics/optimization, or analog/mixed-signal design
- Strong software fundamentals, fluent in Python (PyTorch a plus), comfortable turning research into robust, tested code
- Evidence you can go deep in an unfamiliar domain — papers, projects, open source, or shipped systems
- Bias toward building things that endure: clean abstractions, reproducibility, scale
- Expected Base Pay Range (USD)
More about this role
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
We're building an enduring AI ecosystem at the intersection of machine learning and hardware engineering — systems that learn from how engineering actually plays out in the real world, and get measurably better over time. The domain is analog/mixed-signal IC design: a sparse, deeply structured, physics-governed problem where the ultimate feedback signal is silicon itself. We're assembling an unusually broad team — ML researchers, systems engineers, mathematicians, and circuit experts — to build foundational technology meant to compound for years, not ship a one-off tool.
- Teaching machines to represent and understand structured engineering...
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