Research Scientist, AI
Research Scientist, AI
Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting-edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world-class scientists, engineers, and technical experts building technology for the United States.
Summary
Responsibilities
Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows
Develop AI-augmented tools for materials science, device physics, or accelerator physics applications
Build internal AI infrastructure and capabilities to enable research teams across the organization
Train and mentor scientists and engineers on integrating AI/ML into their research workflows
Implement surrogate models, physics-informed neural networks, or generative approaches for scientific problems
Develop data pipelines and frameworks for scientific machine learning across distributed teams
Collaborate with computational physicists and experimentalists to identify high-impact AI applications
Set AI best practices and establish standards for ML-augmented R&D
Required Qualifications
5+ years professional or academic research experience in physical sciences, engineering, or related field
2-3+ years hands-on experience applying machine learning to scientific or technical problems
Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)
Deep understanding of scientific computing, numerical methods, and computational modeling
Proven ability to translate scientific problems into machine learning approaches
Experience building tools, infrastructure, or capabilities used by technical teams
Preferred Qualifications
PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field
Publications applying ML to scientific computing, simulation, or experimental data analysis
Experience with physics-informed machine learning or scientific foundation models
Background in accelerator physics, semiconductor devices, materials modeling, or related domains
Track record of enabling technical teams through tool development or mentorship
Salary Range
$150,000-$275,000 USD
Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.
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