Accelerated Computing Solutions Analyst - Early Career
Core
Research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures for XPU data-centric workloads.
Role type
Early-career AI Solutions Analyst (Hardware/Software Architecture)
Builds
Co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures for XPU
Domain
Semiconductor, AI infrastructure, disaggregated memory, storage, and networking
Deliverable
production ML models | product features | research | infrastructure
Required skills
HW/SW co-design, GPU/DPU/FPGA/custom hardware accelerator expertise, processor micro-architectures (ARM), memory/storage subsystems, coherent/non-coherent interconnects (CXL, UAL, NVLink), performance benchmarking, simulators & modeling
Preferred skills
None explicitly stated as preferred (all listed under 'What We're Looking For' are treated as required)
Technologies
CXL, UAL, UEC, NVMeoF, SHARP, NCCL, Python
Responsibilities
Partner with architects to develop scalable AI/ML infrastructure, spearhead advancements in heterogeneous compute architectures, lead system architectural design and proof-of-concept implementation, advocate in industry standards bodies, conduct advanced performance characterization, create simulation environments, document and visualize insights
Seniority
Early Career, hands-on IC
