Senior Solutions Architect AdTech and Media @ NVIDIA
placeHybrid
attach_money $300,000
businessHybrid
scheduleFull Time
Posted 1 day ago
Your Application Journey
Interview
Email Hiring Manager
***** @nvidia.com
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Job Details
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
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Review GPU architecture specifics.
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Practice Python and C++ coding challenges.
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Study cloud deployment for ML models.
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Refresh knowledge on CUDA-X libraries.
Behavioral Questions
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Describe a complex technical challenge.
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Explain your customer communication strategy.
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How do you handle tight deadlines?
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Discuss collaboration in cross-functional teams.
Frequently Asked Questions
What qualifications does NVIDIA seek for the Senior Solutions Architect AdTech and Media role?
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How important is AdTech industry experience for this role at NVIDIA?
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What technical skills are prioritized for the Senior Solutions Architect position at NVIDIA?
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How does customer engagement factor into the NVIDIA Solutions Architect role?
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What sets NVIDIA’s approach apart for the Senior Solutions Architect AdTech and Media?
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