Solutions Architect, Gen AI Manufacturing

lp us pursue more of these opportunities in ASIC and chip design, Lithography, and other Manufacturing niche areas coupled with HPC, NLP, Reinforcement Learning, Machine Learning, and Deep Learning (AI)! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industries. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and our customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers, and senior leaders is an important part of the Solutions Architect role, and will give you experience with a range of partners and concerns.

What you'll be doing:

• Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.

• Document what you know and teach others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

• Be an industry leader with vision on integrating NVIDIA technology into Manufacturing use cases with AI, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.

• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.

• We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

What we need to see:

• MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.

• 5+ years of work-related experience in manufacturing domains - e.g. lithography, chip design, data science or software development with knowledge of parallel computing with GPUs.

• Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes.

• Experience with modern Deep Learning software architecture and frameworks.

• Strong written and oral communication skills with the ability to effectively collaborate with management and engineering.

• Experience supporting customers/partners in technical engagements.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

• Strong analytical and problem-solving skills.

Ways to stand out from the crowd:

• Experience applying deep learning to lithography. Experience with frameworks like Tensorflow, Pytorch, TRT, and models like Vision Transformer. LLM for code generation and verification.

• Deep Neural Network and Machine Learning research and development experience with chip design and/or industry data.

• Published record of thought leadership in a technical area of the manufacturing industry segment.

• Creative generation of synthetic data for chip manufacturing, EDA analysis, inspection and metrology use cases.

• Experience applying optimization to networking - RDMA, RoCE, GPUDirect. Network tuning and RAPIDS query optimization.

The base salary range is 148,000 USD - 287,500 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. 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.