Senior Solutions Architect, AdTech and Media

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AdTech, Media Distribution, Artificial Intelligence, AI & Machine Learning, Accelerated ComputingIndustries

Requirements

Candidates must possess a BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience. A minimum of 10 years of experience as an ML/Software Engineer or Solutions Architect with a proven track record of writing production-level code in Python and/or C++ is required. A deep understanding of the AdTech, MarTech, and Media distribution landscape, including key workflows, common platforms, and the role of machine learning and data science, is essential. Experience with ML/DL algorithms and frameworks such as PyTorch, TensorFlow, Spark, or Dask, along with proficiency in deploying ML/DL models at scale on public cloud platforms or on-premise data center environments, is necessary. Excellent communication and presentation skills, the ability to articulate complex technical concepts, and a self-starter attitude with a passion for continuous learning and problem-solving are also required.

Responsibilities

The Senior Solutions Architect will partner with NVIDIA's engineering, product, and sales teams to drive the adoption of NVIDIA technology within the AdTech and Media distribution ecosystems. They will act as a trusted technical advisor for customers and partners, conducting proof-of-concept evaluations and providing deep technical guidance on the use of NVIDIA hardware and software. Responsibilities include performing in-depth analysis and optimization of AI/ML models, recommender systems, and data processing pipelines, and interacting directly with customer data scientists, engineers, and developers on high-impact projects. The role involves translating customer feedback into actionable insights for NVIDIA's product and engineering teams and building technical collateral, such as notebooks, blogs, and presentations, to demonstrate the value of NVIDIA's platform for key use cases.

Skills

Solutions Architecture

AdTech

Media Distribution

NVIDIA Full-Stack Accelerated Computing Platform

AI/ML Models

Recommender Systems

Data Processing Pipelines

GPU Architectures

Customer Data Analysis

Technical Guidance

Proof-of-Concept Evaluations

Technical Collateral Development

Real-time Bidding

User Personalization

Content Recommendation

Python

C++

CUDA

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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