Natcast (short for The National Center for the Advancement of Semiconductor Technology) is a new, purpose-built, non-profit entity created to operate the National Semiconductor Technology Center (NSTC) consortium, established by the CHIPS Act of the U.S. government.
Working at Natcast represents an opportunity to help extend America’s leadership in semiconductor technology, significantly reduce the time and cost of moving from idea to commercialization, and build and sustain a semiconductor workforce development ecosystem.
These efforts to advance semiconductor technology and seed new industries built on the capabilities of a wide range of advanced chips hold the potential to benefit the country and the world for generations to come.
In this role you will advance the integration of artificial intelligence into semiconductor research and development, developing breakthrough algorithms that accelerate innovation across the semiconductor ecosystem.
Every day you will push the boundaries of machine learning applications, creating novel solutions for challenges in semiconductor design, manufacturing, and testing while enhancing America’s technological capabilities.
To thrive in this role you must combine deep AI expertise with semiconductor domain knowledge, demonstrating both theoretical understanding and practical implementation skills while developing next-generation ML solutions.

REQUIRED SKILLS AND QUALIFICATIONS

Academic and Research Credentials

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or closely related technical field
• Minimum 5 years of advanced machine learning research experience
• Demonstrated track record of innovative research and publications
• Strong publication history in top-tier conferences and journals

Technical Expertise

• Advanced Python programming skills
• Comprehensive mastery of deep learning frameworks (TensorFlow, PyTorch)
• Extensive experience with large-scale dataset management and analysis
• Advanced knowledge of cloud computing platforms and distributed computing
• Proficiency in GPU optimization and high-performance computing techniques
• Strong mathematical and statistical modeling capabilities

PREFERRED ADDITIONAL CAPABILITIES

• Prior semiconductor industry research or engineering experience
• Established patent portfolio demonstrating technological innovation
• Expertise in GPU and specialized hardware optimization
• Knowledge of quantum machine learning techniques
• Proven research leadership experience
• History of successful industry collaboration and technology transfer
• Understanding of emerging semiconductor technologies like advanced node processes, heterogeneous computing, and next-generation chip architectures
  Ready to optimize the future of semiconductor system performance? Join our mission-driven team and develop the solutions that will define next-generation semiconductor capabilities.
  Natcast is an equal opportunity employer. We do not discriminate based on race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, military status, or any protected attribute. We encourage qualified candidates from all backgrounds to apply and join us in our mission. If you require accommodation at any stage of the application process due to a disability, please let us know.
  We collect and manage personal data in compliance with data privacy regulations and best practices

Research and Development

• Lead cutting-edge AI/ML research initiatives targeting semiconductor industry challenges
• Develop novel machine learning algorithms specifically tailored to semiconductor domain problems
• Create advanced predictive models for semiconductor design, manufacturing, and testing processes
• Optimize machine learning frameworks for high-performance computing environments
• Design and implement sophisticated data collection and analysis strategies

Technical Leadership

• Guide comprehensive model validation and verification processes
• Develop robust methodologies for AI algorithm performance assessment
• Manage and optimize complex computing resources and computational infrastructure
• Author high-impact technical publications in peer-reviewed journals and conferences
• Present research findings at national and international technical symposia
• Mentor and develop research team capabilities

Innovation and Collaboration

• Drive strategic innovation programs within the semiconductor AI research ecosystem
• Foster academic and industry partnerships to expand research capabilities
• Collaborate across interdisciplinary teams including electrical engineers, materials scientists, and software developers
• Identify and pursue promising research directions with commercial and technological potential