Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master's degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field
- Experience working with DRAM, LPDDR, HBM, CXL, memory subsystem architecture, or memory validation workflows
- 2+ years of experience supporting AI, machine learning, HPC workloads, GPU platforms, or performance characterization activities
- Experience with CUDA, ROCm, DRAMSim3, Ramulator2, trace capture/replay methodologies, or related modeling and analysis tools
- Experience supporting FPGA platforms, hardware prototyping environments, protocol debugging, multi-site laboratory operations, or equipment lifecycle management
More about this role
Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The DASG Architecture Lab and Customer Enablement Lab (CEL) teams provide the infrastructure, platforms, and technical expertise required to accelerate technology pathfinding, AI and system workload analysis, memory subsystem characterization, FPGA/LPDRAM prototyping, and customer enablement initiatives. These teams play a critical role in enabling architecture exploration, validation, and teamwork across engineering organizations and external partners. AI Efficiency and Usage is a must. AI proficiency or AI‑enabled ways of working where applicable. Agentic AI and Generative AI usage model is a must.
- Own the day-to-day bring-up, readiness, maintenance, and operational support of lab systems, racks, benches, test equipment, and reference platforms used by DASG Architecture Lab and Customer Enablement Lab teams.
- Deploy, configure, and maintain server, GPU, FPGA, client AI, mobile...
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