Senior Solutions Architect, Generative AI Data Processing

Details

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and help customers with the latest accelerated data analytics and deep learning software and hardware platforms. You will become a trusted technical advisor to customers, deploy AI solutions in production using data processing for generative AI, and collaborate across internal teams on AI optimization techniques operating at the intersection of algorithms and systems.

Responsibilities

• Partner with other solution architects, engineering, product, and business teams to understand strategies and technical needs and help define high-value solutions
• Dynamically engage with developers, scientific researchers, and data scientists across a range of technical areas
• Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA's computing platform
• Work closely with customers to help them adopt and build creative solutions using NVIDIA technology
• Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases
• Some travel to conferences and customers may be required

Requirements

• 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 with machine learning, deep learning, and data analytics
• Strong fundamentals in programming, optimizations, and software design, especially in Python
• Strong problem-solving and debugging skills
• Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
• Excellent presentation, communication, and collaboration skills

Ways To Stand Out From The Crowd

• Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure
• Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, and RAPIDS
• Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with parallel programming and distributed computing platforms

Compensation & Other Details

• Base salary range: 184,000 USD - 287,500 USD (base salary will be determined based on location, experience, and the pay of employees in similar positions)
• You will also be eligible for equity and benefits (see https://www.nvidia.com/en-us/benefits/)
• Applications for this job will be accepted at least until October 19, 2025

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. NVIDIA does not discriminate (including in 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.