Micron Technology Logo

Micron Technology

SMTS, Systems Infrastructure Engineering

Reposted 2 Hours Ago
Be an Early Applicant
In-Office
San Jose, CA
232K-406K Annually
Senior level
In-Office
San Jose, CA
232K-406K Annually
Senior level
Own lab infrastructure operations, including system bring-up, equipment deployment, platform validation, configuration, maintenance, automation, and troubleshooting. Support server, GPU, FPGA, AI, memory, and environmental test platforms while enabling workload characterization, trace analysis, performance testing, and customer activities. Develop Python or shell automation, manage assets and calibration, and resolve hardware, firmware, software, networking, power, and thermal issues across global engineering teams.
The summary above was generated by AI
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.
Responsibilities
  • 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 AI, analyzer, and environmental test equipment supporting workload characterization and technology pathfinding activities.
  • Build and maintain stable, reproducible validation environments, including BIOS, BMC, firmware, operating systems, drivers, networking, remote access, and power and thermal configurations.
  • Collaborate with architecture and validation teams to enable memory trace capture, workload analysis, DRAM replay, power and performance characterization, and data-driven engineering decisions.
  • Develop and maintain operational processes for asset tracking, configuration management, equipment allocation, calibration monitoring, addressing customer concerns, and lab readiness.
  • Create automation solutions using Python, shell scripting, or similar technologies to improve lab setup, health monitoring, regression execution, result collection, and reporting.
  • Diagnose and resolve infrastructure issues across hardware, firmware, software, networking, power, thermal, and equipment-control domains while partnering with global engineering teams.
  • Support customer and partner enablement activities through system preparation, configuration optimization, debug support, and performance characterization while promoting safety, quality, and operational excellence.

Minimum Qualifications
  • 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.
  • Demonstrated ability configuring and maintaining validation platforms, test equipment, protocol analyzers, power analyzers, oscilloscopes, environmental chambers, or similar laboratory assets.
  • Proven experience developing automation solutions using Python, Shell, or similar scripting languages.
  • Experience with BIOS, BMC, firmware, operating systems, device drivers, networking, storage, power delivery, and thermal management concepts in lab environments.

Preferred Qualifications
  • 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.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:
$232,000.00 - $406,000.00 a year
Additional compensation may include benefits, bonuses and equity.
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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at [email protected] or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Similar Jobs at Micron Technology

2 Hours Ago
In-Office
79K-175K Annually
Entry level
79K-175K Annually
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design and integrate digital RTL and subsystems for high-bandwidth memory SoCs. Collaborate on microarchitecture, interfaces, simulation, synthesis, timing, CDC analysis, debugging, and design reviews. Evaluate power, performance, area, and timing tradeoffs while developing automation and AI-assisted workflows to improve semiconductor design and verification productivity.
Top Skills: Agentic AiAsicClock-Domain Crossing AnalysisCxlDdrFormal VerificationFpgaGenerative AiHbmIndustry-Standard Eda ToolsLarge Language ModelsLpddrPcieRtlSimulationSocStatic Timing AnalysisSynthesisSystemverilogUvmVerilogVhdl
2 Hours Ago
In-Office
172K-293K Annually
Senior level
172K-293K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manages strategic global semiconductor accounts across smartphone, tablet, and premium notebook segments. Develops account plans, builds executive and technical relationships, grows opportunity pipelines, maintains forecasts, and supports revenue, margin, design-win, qualification, and market-share goals. Coordinates with product, engineering, operations, supply chain, legal, finance, and pricing teams to align customer requirements, roadmaps, supply, and commercial terms. Identifies opportunities involving AI-enabled devices and delivers customer, competitive, and market insights.
Top Skills: Account Planning ToolsCRMForecasting ToolsMicrosoft DynamicsMS OfficeOn-Device Generative Ai
2 Hours Ago
In-Office
56K-56K Hourly
Internship
56K-56K Hourly
Internship
Artificial Intelligence • Hardware • Information Technology • Machine Learning
MBA intern supporting CDBU marketing initiatives through market and opportunity assessments, customer-facing solution narratives, vertical playbooks, and go-to-market recommendations. The role analyzes market trends, customer segments, workloads, ecosystems, and whitespace opportunities; translates technical capabilities into business value; uses AI tools for research and content development; and leads an internship project through executive presentation and handoff.
Top Skills: AICloud ComputingCpu/Gpu PlatformsData Center InfrastructureGenerative AiMemory TechnologiesStorage Solutions

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account