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Semiconductor Memory Research and Qualification Staff Engineer (Shakopee, MN, US) @ Seagate Technology, LLC

Shakopee, Minnesota, USOnsiteFull-time
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About this role

About our group: Seagate’s Research & Development organization drives the company’s long-term technology strategy and innovation pipeline. The organization spans advanced materials research, semiconductor device engineering, process development, systems architecture, and storage technology innovation. Within R&D, the Emerging Memory Group is responsible for identifying, evaluating, and developing next-generation memory and storage technologies that can enable future Seagate products. The team collaborates with semiconductor design houses, startups, universities, and research consortia to transform breakthrough technologies into manufacturable solutions.

  • About the role - you will: Be responsible to identify, evaluate, and qualify advanced memory technologies for future Seagate products.
  • Drive memory technology assessments across the entire lifecycle, from early-stage research and proof-of-concept demonstrations through component qualification and product integration.
  • Work closely with memory suppliers, startups, research institutions, and internal engineering teams to evaluate technology readiness, Identify risks and opportunities and develop qualification strategies for next-generation memory solutions.
  • Collaborate across device engineering, system architecture, product engineering, reliability, and test organizations to guide technology decisions that impact future Seagate products.
  • Develop and execute electrical characterization, reliability, and qualification plans aligned with applicable industry standards.
  • Investigate devices and arrays behavior, performance tradeoffs, and failure mechanisms through design of experiments.
  • Translate findings into actionable feedback for process, materials, and design teams.
  • Present risk assessments, and recommendations to engineering teams and leadership.
  • Develop, validate, and enhance test infrastructure including test methodology, laboratory capabilities, test programs/software, and data-analysis frameworks.
  • Analyze large and complex data sets to identify trends, characterize risk, and provide recommendations for process, design, and product improvements.
  • Monitor industry and academic developments in memory technologies through conferences and external collaborations, identify opportunities relevant to Seagate’s future products.
  • Build knowledge of Seagate storage technologies and contribute to broader research and development initiatives.

About you

  • Provide clear technical direction and use engineering judgement to guide memory technology decisions.
  • Utilize experimental data, statistical methods, and root cause analysis to resolve complex technical problems.
  • Build productive relationships and work with cross functional teams and departments globally.
  • Self-driven professional with strong problem-solving, communication, and cross-functional collaboration skills, Experience with statistical analysis and large-scale data processing.
  • Your experience includes: Hands-on experience characterizing and qualifying one or more memory technologies such as DRAM, NAND Flash, MRAM, ReRAM, PCRAM, Optane-class memory, or Ferroelectric Memory (FeRAM/FeFET).
  • This role requires deep expertise in semiconductor memory devices, characterization methodologies, reliability engineering, and qualification processes, along with the ability to influence technology direction and business decisions.
  • Hands-on knowledge of lab test equipment, automated probers, and ATE memory testers Strong programming and automation skills using C/C++, Python for tester and test Program development.
  • Bachelor’s degree in engineering related field (i.e. Electrical, Chemical, Computer Engineering, Materials, Physics, or Information Technology) and 8+ years of experience or master’s degree in the same and 6+ years’ experience or PhD and 3+ years’ experience or equivalent experience and education.
  • You might also have: Track record of adopting AI tools to streamline technical work.
  • Familiarity with semiconductor manufacturing, wafer fabrication processes, process integration, and technology development workflows Experience working with external research organizations, universities, startups, or semiconductor ecosystem partners.

Location: Our Shakopee campus is located 25 minutes southwest of Minneapolis in a setting with a rural vibe – it overlooks a horse racing track and stables, yet it has great entertainment venues close by as well. With wide-open spaces, the campus has plenty of space for running, biking, shooting some hoops or playing volleyball over lunch. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, tournaments and group workouts. Hungry? Seagate offers an on-site café with freshly sourced foods and specialty coffees, or if you prefer, drive to one of many restaurants just minutes away.

The estimated base salary range for this position is $96,408.00 - $140,506.00. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, , eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts.

Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location. Location : Shakopee, United States Travel : Up to 10%

Skills

reliability engineeringqualification processesC/C++ATE memory testersautomated probersStatistical analysisRoot Cause AnalysisExperiment designlarge-scale data processing

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