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
- Required Qualifications
- Experience with AI serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar platforms
- Strong background in RCCL/NCCL, RDMA, communication-compute overlap, and performance profiling
- Hands-on experience with any GPU profiling tools (e.g., Nsight Systems/Compute, PyTorch Profiler, or ROCm Compute Profiler) to localize bottlenecks at the kernel level
- Demonstrated ability to diagnose end-to-end bottlenecks across application, framework, runtime, and infrastructure layers
- Working knowledge of at least one distributed training framework (PyTorch DDP/FSDP, DeepSpeed, or Megatron-LM), given the role's scope spans both training and inference stacks
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...
Browse similar: AI jobs · AI startup jobs · Startup jobs