[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.ResponsibilitiesPartner 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 ecosystemsAct 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 softwarePerform 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 architecturesInteract directly with customer data scientists, engineers, and developers on high-impact projects, using your expertise to help them deploy and scale their solutionsTranslate customer feedback into actionable insights for NVIDIA's product and engineering teams to help guide the development of new features and productsBuild 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 recommendationSkillsBS/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 scienceExperience with ML/DL algorithms and frameworks such as PyTorch, TensorFlow, Spark, or DaskExcellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiencesA self-starter with a passion for continuous learning and a curiosity about solving sophisticated problemsProficiency in deploying ML/DL models at scale on public cloud platforms (e.g., AWS, GCP, Azure) or on-premise data center environmentsHands-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 softwareKnowledge of large-scale data processing and distributed systemsExperience in a customer-facing role, successfully navigating complex technical conversations and building strong relationshipsA strong public profile (e.g., blogs, GitHub, conference talks) that demonstrates your expertise and passion for the fieldBenefitsYou will also be eligible for equity and benefits.Company OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.