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Intelligent power and sensing tech for auto, industrial, and cloud solutions

ReRAM Memory and AI Development Engineer

  • Gresham
  • |Full Time
Posted: 2 weeks ago
Job Location
Gresham
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Data Visualization
Machine Learning
Software Development
Statistical Modeling
Data Science
EDA
Endurance
Scientific Computing
Reliability
Deep Learning
Simulation
Software Solutions
Semiconductor Devices
Design Automation
PyTorch
Device Modeling
AI/ML
Knowledge Synthesis
Model Optimization
Behavioral Modeling
Generative AI
AI Agents
AI Solutions
Semiconductor Engineering
Automation Solutions
Engineering Data Analysis
Variability
Memory Technologies
Physics-Informed AI
Modeling Solutions
AI-Enabled Engineering
Design-Space Exploration
Documentation Automation
Operating Margins
Engineering Workflow Automation
ReRAM Technology Development
SET/RESET Behavior
Resistance Distributions
Semiconductor Device Knowledge
Device and Process Modeling
Model Generation
Technical Knowledge Retrieval
Repetitive Task Automation
Data-Driven Engineering Models
Physics-Informed Engineering Models

About the job

Job Description

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 Team

We 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.

About the company

ON Semiconductor company logo
Intelligent power and sensing tech for auto, industrial, and cloud solutions5000+ Employees
Company Size
5000+
Company Industries
Semiconductors
Learn more about ON Semiconductor image

Founders

Laurent Vancaillie
Business Development Manager Foundry EU-APAC • 19 years
Brussels
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