Senior Solution Architect, Automotive and Manufacturing

NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems.

As an Industry Solution Architect at NVIDIA, you will be the first line of technical expertise between NVIDIA and our customers. Your role will involve working on proof-of-concept demonstrations, driving relationships with key executives and managers, and evangelizing accelerated computing.

What you’ll be doing:

• Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement.

• Understand the customer workload and how it interacts with other parts of the system like networking, storage, deep learning frameworks, data cleaning tools, etc.

• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

• Engage with global System Integrators to scale out and delivery high quality projects to customers

• Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products

• Qualify customer opportunities and translate business requirements into technical requirements

• Be the central point of technical contact internally and externally and the trusted Advisor for various lighthouse automotive and manufacturing customers

• Worldwide travel is required for on-site visits with customers.

What we need to see:

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.

• 5+ years of Experience with software development, particularly in Python, C++, or similar languages.

• Critical thinking capabilities that leverage fundamentals to deduce solutions.

• Strong collaboration and communication skills to work in a dynamic, fast changing environment involving internal teams, external vendors, and customers.

• 5+ years of industry experience in manufacturing and automotive sectors, with a deep understanding of the specific challenges and opportunities in these fields, particularly understanding domain-specific use cases and map these onto the NVIDIA Tech Stack

• Track Record of pre-sales and MVP engagements leading to productive workloads at customer environments in the manufacturing and automotive space

• Experience with Simulation and 3D tooling such as Unreal, Unity, Maya, Blender, 3DS Max and able to advise customers how to create 3D workflows and simulations to build a Digital Twin

• Experience with AI workflows, including data curation, model training, customization, inference, and deployment using tools like NVIDIA NeMo and Triton Inference Server.

Ways to stand out from the crowd:

• Familiarity with common Product Data Management (PDM) and Product Lifecycle Management (PLM) systems such as Siemens, Dassault, PTC, and Autodesk Revit.

• Experience developing solutions for AMRs and Robotics, including Simulation of Robotic Tasks based on Deep Learning. Experience in ROS and ROS2, Robot Manufacturers and ecosystem preferred

• Experience with NVIDIA Omniverse Platform. Fundamental knowledge about Omniverse Extensions, Omniverse Workflows and 3D scene creation in Omniverse

• Fundamental knowledge about the NVIDIA AI Stack, including NVIDIA Nemo, Cosmos Platform

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. We want to hear from you. Come, join our team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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.