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Senior Technical Marketing Engineer – Physics Based Machine Learning
NVIDIA
Marketing & Communications
IT & Telecoms
GHS
Confidential
2 months ago
Job Summary
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.
- Minimum Qualification: MBA / MSc
- Experience Level: Senior level
- Experience Length: 7 years
Job Description/Requirements
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
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