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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
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