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.
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