The Solutions Architect role at NVIDIA focuses on developing innovative AI solutions for enterprise applications. The team specializes in deep learning, Generative AI, and Cloud technologies, aiming to bridge the gap between research and practical implementation. As a member of this team, you will work closely with customers to customize and deploy AI workloads at scale. This position requires a strong foundation in AI frameworks and a passion for solving complex real-world problems.

• Strong foundational expertise with a degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar.
• 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow.
• Proficiency in Python programming and software design with at least 5+ years of experience in a Linux environment.
• Hands-on experience with the AI model lifecycle, including evaluation, failure analysis, pre-training, post-training, reinforcement learning, and model optimization.
• Expertise in distributed computing methodologies, including model and data parallelism.

• Develop end-to-end AI solutions for enterprise use cases.
• Tackle sophisticated AI challenges across the AI model lifecycle.
• Support a broad model portfolio spanning various AI use cases.
• Partner with enterprise customers in co-design engagements to deliver customized AI solutions.
• Contribute to the wider organization by sharing expert knowledge and engaging in open-source projects.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.