Physics research scientist

The Computational Sciences group within Autodesk Research is seeking exceptionally talented and experienced Research Scientists to join our team. Our research centers around generative methods for the design, manufacturing and construction of objects in the built environment and spans physics-based modeling, simulation, design optimization and inverse problems. You will join a group shaping the future of physics informed AI/ML and its applications in areas of interest to Autodesk. You will work closely with experts in geometric modeling, simulation, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.

The Physics Informed AI/ML group will be specifically focused on researching and implementing novel algorithms for physics-informed AI/ML for use in design, simulation and engineering tools. We are interested in physics-based generative models, surrogate and reduced-order models, data assimilation and digital twins, physics-based reasoning and the interpretation of physical results using AI/ML.

Research and implement physics-informed AI/ML algorithms, and demonstrate their applicability to areas of interest for Autodesk
Design and build physics-informed AI/ML workflows and data pipelines, create and curate training data, develop and test models
Work closely with a multi-disciplinary team of research scientists and developers to conceive, plan, develop, and implement scientific research projects
Mentor and lead researchers, developers and interns (undergraduate, graduate or post-doctoral)
Participate in research collaborations with external research institutes and universities
Publish papers in peer-reviewed scientific journals/conferences
Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences both internally and externally
Promote the use of research findings throughout Autodesk
Consult with product teams on the implementation of research into products

D in Physics or Applied Mathematics, Computer Science, Engineering and 3+ yrs of professional experience
Excellent knowledge of computational physics and numerical methods, e.g. for deriving and solving the large linear and non-linear systems that arise from discretizing differential equations
Extensive experience with methods that combine modern machine learning and AI/ML methods with computational physics algorithms
Familiarity with best practices in data creation, data and workflow management as related to training AI/ML models
Experience creating and training machine learning models at scale (e.g. using PyTorch, TensorFlow, Flax, etc)
Ability to articulate how physics-informed AI methods relate to more traditional numerical methods, surrogate models, reduced order models and simulation approaches in, for example, CFD or computational mechanics
Python and C++. Familiarity with HPC techniques
Familiarity with collaborative development environments and version control systems
Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).