About the Role

Partner with NVIDIA's engineering, product, and sales teams to secure design wins and drive the adoption of NVIDIA technology within the Ad Tech and Media distribution ecosystems. The NVIDIA Solutions Architect team seeks a senior-level, hands-on Solutions Architect to collaborate with the world's most innovative companies in the Ad Tech and Media distribution space. You will work with top minds in the industry, helping them to accelerate their workflows and solve complex business challenges with NVIDIA's full-stack accelerated computing platform.

Responsibilities

• Partner with NVIDIA's engineering, product, and sales teams to secure design wins and drive the adoption of NVIDIA technology within the Ad Tech and Media distribution ecosystems
• Act as a trusted technical advisor for customers and partners, conducting proof-of-concept evaluations, and providing deep technical guidance on the best use of NVIDIA hardware and software
• Perform in-depth analysis and optimization of AI/ML models, recommender systems, and data processing pipelines to ensure peak performance on current- and next-generation GPU architectures
• Interact directly with customer data scientists, engineers, and developers on high-impact projects, using your expertise to help them deploy and scale their solutions
• Translate customer feedback into actionable insights for NVIDIA's product and engineering teams to help guide the development of new features and products
• Build technical collateral, such as notebooks, blogs, and presentations, that demonstrate the value of NVIDIA's platform for key use cases like real-time bidding, user personalization, and content recommendation

Required Qualifications

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field (or equivalent experience)
• 10+ years of experience as an ML/Software Engineer or Solutions Architect with a consistent record of writing production-level code in Python and/or C++
• Deep understanding of the Ad Tech, Mar Tech and Media distribution landscape, including key workflows, common platforms (e.g., DSPs, SSPs, CDPs), and the role of machine learning and data science
• Experience with ML/DL algorithms and frameworks such as Py Torch, Tensor Flow, Spark, or Dask
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
• A self-starter with a passion for continuous learning and a curiosity about solving sophisticated problems
• Proficiency in deploying ML/DL models at scale on public cloud platforms (e.g., AWS, GCP, Azure) or on-premise data center environments

Preferred Qualifications

• Hands-on experience with NVIDIA GPU architectures and development tools like CUDA-X libraries (e.g., cuBLAS, cuDNN, RAPIDS)
• Familiarity with MLOps technologies such as Docker, Kubernetes, and other cluster management software
• Knowledge of large-scale data processing and distributed systems
• Experience in a customer-facing role, successfully navigating complex technical conversations and building strong relationships
• A strong public profile (e.g., blogs, GitHub, conference talks) that demonstrates your expertise and passion for the field

Compensation and Benefits

• Base salary: $224,000 USD - $356,500 USD (determined based on location, experience, and pay of employees in similar positions)
• Eligible for equity and benefits

Additional Information

• Applications for this job will be accepted at least until February 8, 2026
• This posting is for an existing vacancy
• NVIDIA uses AI tools in its recruiting processes
• NVIDIA is committed to fostering a diverse work environment and is 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