Distinguished Research Scientist, Physics Informed AI (San Francisco) Job at Autodesk, San Francisco, CA

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  • Autodesk
  • San Francisco, CA

Job Description

Job Requisition ID #

24WD83836

Position Overview

The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to Make Anything . Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.

The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.

Responsibilities

  • Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design

  • Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects

  • Direct & perform research on machine learning models combining physics simulation and measurement data

  • Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company

  • Publish papers in peer-reviewed scientific journals/conferences

  • Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)

  • Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences

  • Present research findings at conferences and participate in research collaborations with external research institutes and universities

  • Communicate and promote the use of research findings throughout Autodesk

  • Consult with product teams on the implementation of research findings into products

Minimum Qualifications

  • Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics

  • Extensive experience with Physics Informed Machine learning models

  • Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic

  • Strong publication history in relevant conferences and journals

  • Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale

  • Excellent written and oral communication skills

  • Excellent knowledge of Numerical Methods

  • Ability to quickly learn new technologies and adapt to new situations

  • Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects

Preferred Qualifications

  • Knowledge of geometry and topology

  • Experience training large-scale, multi-modal models and ensembles

  • Familiar with collaborative development environments and version control systems

  • Experience with:

  • 2D and 3D computer graphics programming

  • Visualization techniques

  • Bayesian statistics

  • NVIDIA Warp and/or JAX, NVIDIA Modulus or similar

  • Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker

  • Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale

  • Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc.

  • Computer Vision

  • Python, C++, Rust

  • OpenMP, Clang, SIMD, etc.

Learn More

About Autodesk

Welcome to Autodesk! 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.

We take great pride in our culture here at Autodesk our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When youre an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesks competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidates experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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Job Tags

Full time, For contractors,

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