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Senior Solutions Architect AdTech and Media

NVIDIA

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Original Job Summary

Overview

The NVIDIA Solutions Architect team is seeking a senior-level, hands-on Solutions Architect to work with innovative companies in the AdTech and Media distribution space. In this role, you will collaborate with top technical minds, accelerate workflows, and solve complex business challenges using NVIDIA's full-stack accelerated computing platform.

What You'll Be Doing

  • Partner with engineering, product, and sales teams to secure design wins and drive technology adoption.
  • Act as a trusted technical advisor for customers and partners with deep technical guidance.
  • Conduct in-depth analysis and optimization of AI/ML models and data processing pipelines.
  • Engage directly with customer data scientists, engineers, and developers on high-impact projects.
  • Translate customer feedback into actionable insights for product development.
  • Create technical collateral such as notebooks, blogs, and presentations demonstrating NVIDIA's platform value.

What We Need To See

  • BS/MS/PhD in relevant technical fields or equivalent experience.
  • 10+ years as an ML/Software Engineer or Solutions Architect with production-level coding experience in Python and/or C++.
  • Deep understanding of the AdTech, MarTech, and Media distribution landscape.
  • Experience with ML/DL frameworks like PyTorch, TensorFlow, Spark, or Dask.
  • Excellent communication and presentation skills.
  • Proficiency in deploying ML/DL models at scale on public cloud platforms or on-premise environments.

Ways To Stand Out

  • Hands-on experience with NVIDIA GPU architectures and CUDA-X libraries.
  • Familiarity with MLOps technologies such as Docker and Kubernetes.
  • Knowledge of large-scale data processing and distributed systems.
  • Experience in a customer-facing role with excellent relationship skills.
  • A strong public profile showcasing expertise and passion.

Compensation & Eligibility

Compensation is determined based on experience and location, with base salary ranges provided for different levels. Equity and benefits are also included.

Commitment to Diversity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration without discrimination.

Key skills/competency

  • Solutions Architecture
  • AdTech
  • Media Distribution
  • AI/ML
  • Python
  • C++
  • GPU
  • Cloud Platforms
  • CUDA-X
  • MLOps

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Research NVIDIA's culture: Review their mission, values, and recent news.
  • Tailor your resume: Highlight AdTech and media project experience.
  • Demonstrate technical expertise: Show proficiency in AI/ML frameworks.
  • Prepare for technical interviews: Review GPU architectures and cloud deployment scenarios.
  • Showcase communication skills: Practice clear technical presentations.

📝 Interview Preparation Advice

Technical Preparation

Review GPU architecture specifics.
Practice Python and C++ coding challenges.
Study cloud deployment for ML models.
Refresh knowledge on CUDA-X libraries.

Behavioral Questions

Describe a complex technical challenge.
Explain your customer communication strategy.
How do you handle tight deadlines?
Discuss collaboration in cross-functional teams.