
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
November 5

Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services. • Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously. • Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the group. • Closely Partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases. • Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.
• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs • Strong development experience with RAG and workflows building Agentic AI applications. • Developer experience with LangChain and LangGraph orchestrating LLMs • Working experience of Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking. • Clear written and oral communication skills with the ability to collaborate with management and engineering. • Share knowledge with clients, partners and co-workers.
• Health insurance • Retirement plans • Flexible work arrangements • Professional development • Bonuses
Apply NowNovember 5
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