Senior Solutions Architect – AdTech, Media

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

Location

California + 2 moreAll locations: California, Illinois, New York

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.

Benefits

  • equity
  • benefits

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