Senior Performance Research and Analysis Engineer
Core
Drive end-to-end performance strategy, characterization, optimization, and HW offload accelerations for next-generation NICs and DPUs powering multi-node AI clusters.
Role type
Senior IC performance research and analysis engineer (networking/storage)
Builds
High-performance networking and storage stacks for distributed AI and cloud data centers
Domain
Cloud/HPC networking and storage acceleration
Deliverable
production ML models
Required skills
Low-level networking and storage acceleration, systems-level performance tuning, C programming, Python, Linux shell scripting, micro-architectural understanding, AI coding agents
Preferred skills
NVIDIA BlueField DPU tuning, ConnectX SmartNICs, SPDK & NVMe-oF mastery, x86/Arm architecture expertise, tail latency isolation
Technologies
DOCA, SPDK, VirtIO, RDMA/RoCEv2, TCP/IP, PCIe Gen 5/6, Linux kernel networking stacks, NVMe-oF
Responsibilities
Drive end-to-end benchmark plans and performance characterization for NICs and DPUs; Profile low-level memory, PCIe, host CPU, and DPU ASIC execution paths; Accelerate storage and networking protocols; Leverage AI agents and automated scripts for performance evaluation; Partner with Architecture, ASIC, Firmware, and Software groups for Root Cause Analysis.
Seniority
Senior, hands-on IC
