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
The Solutions Architecture team sits within Marvell's Platform organization, which turns advanced silicon into deployable, customer-ready AI and cloud infrastructure. This team — the AI Solutions Lab — owns the validation layer that proves our platforms perform as promised, across compute, networking, and memory fabrics. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, a PhD is a plus
- Linux certifications, CKA certification, or similar Kubernetes certifications are preferred
- MS in Electrical/Computer Engineering, Computer Science, or related field, 6+ years of experience as a software/systems engineer, with at least 4+ years of Linux/infrastructure experience
- Strong Linux systems experience at scale, including solid data center and cluster operations fundamentals, development experience across both Windows and Linux environments
- Proficient in Python/TCL scripting and automation, with familiarity in C/C++ API development, proficiency in Python specifically for metrics, observability, and pipeline automation
- Experience with automation tools such as Ansible and Terraform
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.
The Solutions Architecture team sits within Marvell's Platform organization, which turns advanced silicon into deployable, customer-ready AI and cloud infrastructure. This team — the AI Solutions Lab — owns the validation layer that proves our platforms perform as promised, across compute, networking, and memory fabrics. Without it, Marvell could design great silicon but could never prove, at rack scale, that it performs the way customers expect — and hyperscalers don't buy chips on paper, they buy validated systems.
Day to day, the team runs AI benchmarking experiments that mirror real customer workloads, operates GPU/HPC lab clusters, validates...
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