15 hours ago
Senior Solutions Architect, AdTech and Media
NVIDIA
Hybrid
Full Time
$320,000
Hybrid
Job Overview
Job TitleSenior Solutions Architect, AdTech and Media
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$320,000
LocationHybrid
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Job Description
About the Role
The NVIDIA Solutions Architect team is actively seeking a senior-level, hands-on Solutions Architect to partner with the world's most innovative companies in the AdTech and Media distribution space. In this role, you will collaborate with top minds in the industry, accelerating their workflows and solving complex business challenges using NVIDIA's full-stack accelerated computing platform. We are looking for a creative, diligent, and curious individual passionate about developing new technologies and eager to drive meaningful change. If you thrive at the forefront of innovation, join us in this exciting endeavor!
What You'll Be Doing
- 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, leveraging 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.
What We Need To See
- 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.
Ways To Stand Out From The Crowd
- Hands-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 software.
- Knowledge of large-scale data processing and distributed systems.
- Experience in a customer-facing role, successfully navigating complex technical conversations and building strong relationships.
- A strong public profile (e.g., blogs, GitHub, conference talks) that demonstrates your expertise and passion for the field.
Key skills/competency
- AI/ML
- AdTech
- Media Distribution
- GPU Computing
- Python
- C++
- PyTorch
- TensorFlow
- Cloud Platforms
- Data Pipelines
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your resume for AdTech: Highlight extensive experience in AdTech/MarTech, machine learning, and GPU-accelerated computing to match the Senior Solutions Architect role.
- Showcase technical depth: Provide concrete examples of optimizing AI/ML models, developing production code (Python/C++), and deploying solutions on cloud platforms.
- Prepare for technical interviews: Expect deep dives into ML/DL frameworks, distributed systems, and potentially NVIDIA GPU-specific technologies like CUDA-X.
- Emphasize communication skills: Practice articulating complex technical concepts clearly for diverse audiences, as customer-facing roles at NVIDIA value strong presentation abilities.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific AdTech platforms should I highlight for the Senior Solutions Architect role at NVIDIA?
02How does NVIDIA evaluate AI/ML model optimization skills for this AdTech & Media position?
03What's the typical interview process for a Senior Solutions Architect at NVIDIA?
04How can I best showcase my experience with NVIDIA GPU architectures during the application?
05What kind of customer engagement is expected in the Senior Solutions Architect role at NVIDIA?
06How important is public cloud deployment experience for this NVIDIA AdTech position?
07What kind of technical collateral development is involved for an NVIDIA Solutions Architect?
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