AI System Engineer

What you'll do

• Design memory-solution architecture and hardware prototypes, including RTL/IP design, verification, and FPGA prototypes.
• Perform design-quality checks, timing closure, and hardware performance analysis; develop specifications, documentation, and test plans.
• Collaborate with software and hardware teams and ecosystem partners on HW/SW co-optimization and system architecture.

What they ask for

• Ph.D. in Electrical and Computer Engineering, or an MS with 4+ years of hardware design experience focused on SoCs and memory subsystems.
• Expertise in digital design, including microarchitecture specifications, system modeling, RTL design, synthesis, timing closure, and PPA analysis.
• Strong working knowledge and experience with an FPGA development environment.
• Strong communication and collaboration skills for cross-functional work.

Nice to have

• Familiarity with DRAM, HBM, NVMe, CXL, or PCIe.
• Knowledge of AI software optimization techniques for CPU, GPU, or NPU architectures.

Pay

$155,000 — $215,000 USD (base salary)

Tools

RTL, FPGA, DRAM, HBM, NVMe, CXL, PCIe, CPU

AI focus

AI HW/SW co-design research, system modeling, and performance analysis for next-generation AI memory and storage systems; develops hardware architecture for energy-efficient AI/ML computing.