Senior Solution Architect, Automotive and Manufacturing
France, Remote
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.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 AI workload and how it interacts with other parts of the system like networking, storage, deep learning frameworks, data cleaning tools, etc.
Maintain services once they are live by measuring and monitoring the progress of AI jobs and helping engineering design solutions for more robust training at scale.
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
Worldwide travel is required for on-site visits with customers.
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 for various lighthouse automotive and manufacturing 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.
Experience with software development, particularly in Python, C++, or similar languages.
Extensive industry experience of at least 5 years in manufacturing and automotive sectors, with a deep understanding of the specific challenges and opportunities in these fields.
Track Record of pre-sales and MVP engagements leading to productive workloads at customer environments
Excellent interpersonal skills and the ability to work on a dynamic customer-focused team.
Proficiency in NVIDIA Omniverse, including experience with Omniverse Kit, Omniverse Nucleus, and Omniverse Connectors. Ability to leverage Omniverse for collaborative 3D workflows and simulation, and integrate it with AI and data science workflows.
Experience with NVIDIA AI workflows, including data curation, model training, customization, inference, and deployment using tools like NeMo and Triton Inference Server.
Ways to stand out from the crowd:
Experience developing and deploying solutions in hybrid and/or cloud environments.
Critical thinking capabilities that leverage fundamentals to deduce solutions.
Strong collaboration and communication skills to facilitate the flawless integration of solutions across internal teams, external vendors, and customers.
Familiarity with common Product Data Management (PDM) and Product Lifecycle Management (PLM) systems such as Siemens Teamcenter, Siemens Process Simulate, PTC Windchill, and Autodesk Revit.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data management Deep Learning Engineering Mathematics Model training MVP PhD Physics Python Research
Perks/benefits: Career development
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