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Systems Engineer, AI Solutions

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Micron Technology
Full Time position
Listed on 2026-07-01
Job specializations:
  • Engineering
    Systems Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Staff Systems Engineer, AI Solutions

Staff Systems Architect

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.

We are building the future of embedded memory and storage for automotive and edge AI applications. In Micron's Automotive Embedded Business Unit, we work at the intersection of systems architecture, advanced memory technologies, and real-world workloads to enable safer, smarter, and more capable edge platforms. If you enjoy solving complex system-level problems and shaping technology roadmaps, this is the place to do it!

As a Staff Systems Architect, you will play a critical role in defining memory and storage solutions that power next-generation automotive, industrial, and consumer systems. You will work closely with internal engineering teams and external partners to translate real application needs into differentiated products and long-term strategies, with a strong focus on AI inference at the edge.

Responsibilities:

  • Define memory and storage requirements for embedded systems with a 3–5 year technology horizon
  • Analyze system, compute, and software architectures to guide product strategy and roadmap decisions
  • Develop system models and experiments to evaluate AI inference workloads and performance tradeoffs
  • Drive technical engagements with key customers, partners, and chipset vendors
  • Evangelize Micron technologies through customer interactions and industry forums

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or related field
  • 5+ years of experience in system architecture, product definition, or related technical roles
  • Strong understanding of embedded system architectures, SoCs, and memory or storage usage
  • Experience working with cross-functional engineering teams and external partners
  • Excellent communication, presentation, and technical influencing skills

Preferred Qualifications:

  • Master's degree or PhD in a relevant technical field
  • Experience with automotive, autonomous driving, robotics, or advanced embedded platforms
  • Knowledge of memory and storage technologies such as DDR, LPDDR, NAND, eMMC, UFS, or SSDs
  • Experience evaluating hardware performance for AI inference workloads
  • Familiarity with AI/ML architectures, accelerators, and supporting software stacks

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$ - $ 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.

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.

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