The Modulus team at NVIDIA builds a groundbreaking Physics ML platform. This role will be a key person in the technical team helping our customers make the most of AI in their engineering and scientific simulation workflows. This person will work across the rest of the TME team, product management, and our field organizations to produce creative technical AI-based solutions to the world's engineering challenges.

　　If you enjoy developing workflows and AI models that integrate with and accelerate CAE workflows and o you find it rewarding to investigate, and develop utilities that can automate and simplify ease of use for engineers and domain scientists? Could you be thrilled about an opportunity to partner with the engineering and AI community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

　　What You Will Be Doing

　　As a Sr Technical Marketing Engineer, the role will focus on accelerating the adoption of Physics based machine learning in NVIDIA Enterprise technologies by our customers.

　　In this position, you will research and develop techniques to integrate AI into CAE and scientific simulation workflows by developing AI surrogate models and pipelines.

　　Work with the other members of the technical marketing team, our AI teams, our partners, and our business leaders defining and creating a wide range of deliverables and assets to highlight how NVIDIA Enterprise products and AI/Deep Learning improve and accelerate the way people ideate, create and design.

　　Publish and present innovative AI enhanced engineering and scientific simulation techniques in developer blogs or relevant conferences to engage and educate the Developer community.

　　Working with our marketing, field, partners, and customers, you will define and create assets to best highlight our technologies and solutions to a broad range of customers and vertical segments.

　　Public speaking at industry events, internal and external training, and webcasts will be a key part of the job. Some travel is required to support events.

　　What We Need To See

　　A Masters or PhD degree in Engineering domain science or related computationally focused science degree (or additional equivalent experience).

　　7+ years of relevant work experience or research.

　　Direct experience using engineering simulation tools and CAE workflows.

　　Familiarity with AI concepts, including training a model in PyTorch and inferring using a pretrained model checkpoint.

　　Programming fluency in python with a deep understanding of simulation workflows and software development.

　　Prior hardware, software, solutions development background and proven ability to design and architect AI solutions.

　　Ability to delve into technical details of product, and strong ability to defend opinions with both business and technical partners within the organization

　　Excellent communication and organization skills, with a logical approach to problem solving, and prioritization skills.

　　Prior experience presenting to sales and technical product leaders, customers, and partners

　　Ways To Stand Out From The Crowd

　　Excellent understanding of differential equations.

　　You should have a background in artificial intelligence and deep learning frameworks, software development, system architecture and ecosystem software and hardware to help bring together complex technical concepts in easy to demonstrate models, demos, videos, guides, and whitepapers.

　　NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us! If you're creative and passionate about developing cloud services we want to hear from you!

　　The base salary range is 156,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

　　You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

　　NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .