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.

• 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.
• 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.

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