[Remote] Senior Solutions Architect, AdTech and Media

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company seeking a Senior Solutions Architect to work with innovative companies in the AdTech and Media distribution space. The role involves collaborating with engineering, product, and sales teams, providing technical guidance, and optimizing AI/ML models to enhance performance on NVIDIA's 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 AdTech 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

Skills

• 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 AdTech, MarTech 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 PyTorch, TensorFlow, 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
• 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

Benefits

• You will also be eligible for equity and benefits.

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