ReRAM Memory and AI Development Engineer

Posted 4 Days Ago
Be an Early Applicant
Gresham, OR, USA
In-Office
Entry level
Automotive • Cloud • Energy
The Role
Develop and characterize ReRAM technology, including device behavior, variability, reliability, modeling, and array analysis. Build AI-enabled engineering solutions using machine learning, generative AI, physics-informed AI, and AI agents for semiconductor modeling, simulation, EDA automation, data analysis, and workflow improvement. Collaborate across semiconductor engineering teams and translate technical challenges into practical software, modeling, and automation tools.
Summary Generated by Built In

We are seeking a ReRAM Memory and AI Development Engineer to advance resistive random-access memory (ReRAM) technology and develop AI-enabled solutions that improve semiconductor engineering productivity and technical capability.

The role combines hands-on ReRAM technology development with the broader application of machine learning, generative AI, physics-informed AI, and AI agents across semiconductor engineering. The successful candidate will bridge semiconductor device knowledge, data science, AI/ML, EDA, and software development to turn new concepts into practical engineering solutions.

Responsibilities
  • ReRAM Technology Development
  • Develop and characterize ReRAM technology, including SET/RESET behavior, resistance distributions, variability, endurance, reliability, and operating margins.
  • Develop device, statistical, and behavioral models linking ReRAM characteristics to circuit and system requirements.
  • Analyze device and array data to support technology optimization, design enablement, and reliability assessment.
  • Collaborate with process integration, device, modeling, design, reliability, and test teams to advance ReRAM technology.
    Evaluate ReRAM for embedded memory, compute-in-memory, and other emerging applications.
  • AI-Enabled Engineering
  • Develop and deploy AI solutions to improve engineering productivity, technical capability, and decision-making across semiconductor development, not limited to ReRAM
  • Apply machine learning, generative AI, physics-informed AI, and AI agents to engineering problems such as:
    Device and process modeling
    Engineering data analysis and visualization
    Simulation and design-space exploration
    EDA and design automation
    Model generation and optimization
    Technical knowledge retrieval and synthesis
    Engineering workflow, documentation, and repetitive-task automation
  • Identify high-value opportunities where AI can reduce manual effort, accelerate analysis, or enable new engineering capabilities.
  • Prototype emerging AI technologies and transition successful concepts into practical tools for engineering teams.
  • Promote effective AI adoption through technical collaboration, demonstrations, documentation, and knowledge sharing.
     
Qualifications
  • Ph.D. or advanced degree in Electrical Engineering, Computer Engineering, Applied Physics, Computer Science, or a related field.
    Strong foundation in semiconductor devices, memory technologies, EDA, or semiconductor engineering.
    Experience with machine learning, deep learning, and scientific computing.
    Strong Python programming skills and experience with frameworks such as PyTorch or equivalent.
    Experience developing data-driven or physics-informed engineering models.
    Ability to translate semiconductor engineering challenges into modeling, AI, software, or automation solutions.
    Strong cross-functional communication and technical problem-solving skills.
    Preferred Qualifications
    Experience with ReRAM or other emerging memory technologies, including device characterization, modeling, variability, endurance, or reliability.
    Experience with physics-informed machine learning, generative AI, probabilistic modeling, LLMs, or AI agents.
    Experience with semiconductor EDA and simulation tools such as Cadence Virtuoso, Synopsys Custom Compiler, Sentaurus TCAD, HSPICE, or Verilog-A.
    Experience with compute-in-memory, memory-aware AI, or neural-network quantization.
    Experience developing reusable engineering automation, analysis, or AI software tools.
     
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

About the TeamWe are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] for assistance.

Skills Required

  • Ph.D. or advanced degree in Electrical Engineering, Computer Engineering, Applied Physics, Computer Science, or a related field
  • Strong foundation in semiconductor devices, memory technologies, EDA, or semiconductor engineering
  • Experience with machine learning, deep learning, and scientific computing
  • Strong Python programming skills and experience with PyTorch or an equivalent framework
  • Experience developing data-driven or physics-informed engineering models
  • Ability to translate semiconductor engineering challenges into modeling, AI, software, or automation solutions
  • Strong cross-functional communication and technical problem-solving skills
  • Experience with ReRAM or other emerging memory technologies
  • Experience with physics-informed machine learning, generative AI, probabilistic modeling, LLMs, or AI agents
  • Experience with semiconductor EDA and simulation tools such as Cadence Virtuoso, Synopsys Custom Compiler, Sentaurus TCAD, HSPICE, or Verilog-A
  • Experience with compute-in-memory, memory-aware AI, or neural-network quantization
  • Experience developing reusable engineering automation, analysis, or AI software tools

onsemi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about onsemi and has not been reviewed or approved by onsemi.

  • Retirement Support — Retirement programs are highlighted by a U.S. 401(k) with a 100% match on the first 4% and immediate vesting. International plans such as Ireland’s defined contribution scheme and Germany’s company-funded pension elements reinforce long-term savings.
  • Leave & Time Off Breadth — Time-off policies include ten paid holidays, flexible vacation for exempt employees, and three to five weeks of vacation for non-exempt staff as tenure grows, alongside sick time accrual. Paid leaves span parental, bereavement, jury duty, and military service, with Europe locations offering additional statutory and seniority-based days.
  • Parental & Family Support — Family supports include eight weeks of paid parental leave, company-sponsored backup care for children, adults, and pets, and up to $15,000 in adoption assistance. Regional provisions such as Switzerland’s child allowance and accessible EAP counseling show added attention to household needs.

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The Company
HQ: Phoenix, AZ
11,712 Employees

What We Do

We are building a better future through intelligent technology. For over 60 years, onsemi and its ancestors have been leading the world’s greatest technology advancements. onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

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