Senior Solutions Architect – AdTech, Media

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany Site LinkedIn

Location

California + 2 more

Posted

37 days ago

Salary

$224K - $356.5K / year

Postgraduate Degree10 yrs expExperience acceptedEnglishAWSAzureCloudGoogle Cloud PlatformPythonPy TorchSparkTensorflow

Job Description

• 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.

Job Requirements

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.