Drimva

Micron

SMTS, Systems Infrastructure Engineering

$232K–$406K

San Jose, CA · Full-time · Posted Sep 22, 2026

Experience
5+ years required; preferred 2+ years supporting AI, machine learning, HPC workloads, GPU platforms, or performance characterization.
Education
Bachelor's degree in electrical engineering, Computer Engineering, Computer Science, or a related technical field; preferred Master's degree or equivalent experience.

About the job

Operates and improves lab infrastructure and validation platforms used for memory-system characterization, AI workload analysis, technology pathfinding, and customer enablement.

What you'll do

  • Bring up, maintain, and troubleshoot lab systems, racks, test equipment, and reference platforms.
  • Configure reproducible validation environments and automate lab setup, monitoring, regression execution, and reporting.
  • Partner with engineering teams and customers on workload analysis, memory characterization, debug, and performance testing.

What they ask for

  • Bachelor's degree in electrical engineering, Computer Engineering, Computer Science, or a related technical field.
  • 5+ years of experience in server architecture, system-level validation, platform bring-up, hardware/software debug, or engineering lab infrastructure operations.
  • Experience configuring and maintaining validation platforms and laboratory test equipment.
  • Experience developing automation solutions using Python, Shell, or similar scripting languages; familiarity with BIOS, BMC, firmware, operating systems, drivers, networking, storage, power delivery, and thermal management.

Nice to have

  • Master's degree or equivalent experience in a related technical field; experience with DRAM, LPDDR, HBM, CXL, or memory validation.
  • 2+ years supporting AI, machine learning, HPC workloads, GPU platforms, or performance characterization; experience with CUDA, ROCm, DRAMSim3, or Ramulator2.

Pay

$232,000.00 - $406,000.00 a year USD base salary

Tools

Python, Shell, BIOS, BMC, CUDA, ROCm, DRAMSim3, Ramulator2

AI focus

Supports AI workload analysis and AI platform characterization; AI proficiency and use of Agentic AI and Generative AI are stated as musts.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)