NVIDIA is seeking outstanding Solutions Architects to help grow our OEM enterprise AI business. At NVIDIA, our solutions architects work across different teams and enjoy helping partners and customers with the latest Accelerated Computing and Generative AI, and AI Factory deployments. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our OEM partners and work on exciting software solutions focused on enabling enterprise Generative AI workflows. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!

What You Will Be Doing:

• Working with our OEM partners to architect enterprise-grade end-to-end generative AI SW solutions.

• Collaborate closely with OEM partners' SW development teams to help craft world-class joint AI solutions.

• Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of Generative AI capabilities.

• Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.

• Engage directly with customers/partners to understand their requirements and challenges.

• Lead workshops and design sessions to define and refine generative AI solutions with a strong emphasis on enterprise workflows.

• Collaborate with customers to incorporate AI workflows into their applications and systems. Stay updated on advancements in language models and generative AI technologies.

• Provide technical leadership and standard methodologies for training LLMs and implementing enterprise AI solutions.

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

• 8+ years of hands-on experience as a solution architect or similar with a specific focus on AI solutions.

• Proven track record of successfully deploying and optimizing Generative AI models for inference in production environments.

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

• Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.

• Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.

• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical collaborators.

• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways To Stand Out From The Crowd:

• Experience in deploying Generative AI models in cloud environments and on-premises infrastructures.

• Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM.

• Familiarity with Docker or equivalent experience in containerization technologies and Kubernetes for scalable and efficient model deployment.

• Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.

• Hands-on experience with NVIDIA GPU technologies and managing GPU clusters. Able to craft scalable and efficient workflows for LLM training and inference on GPU clusters.

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. If you're creative and autonomous, we want to hear from you!

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.