[Remote] Senior Solutions Architect, AdTech and Media at NVIDIA

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

Skills

Key technologies and capabilities for this role

Solutions ArchitectureAdTechMedia DistributionNVIDIA Full-Stack Accelerated Computing PlatformAI/ML ModelsRecommender SystemsData Processing PipelinesGPU ArchitecturesCustomer Data AnalysisTechnical GuidanceProof-of-Concept EvaluationsTechnical Collateral DevelopmentReal-time BiddingUser PersonalizationContent RecommendationPythonC++CUDA

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Solutions Architect role?

A BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field (or equivalent) is required, along with 10+ years of experience as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C++.

What key technical skills are needed for this position?

Candidates need deep understanding of AdTech, MarTech, and Media distribution, experience with ML/DL frameworks like PyTorch, TensorFlow, Spark, or Dask, and proficiency in deploying models at scale on AWS, GCP, Azure, or on-premise data centers.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Solutions Architect position?

Hands-on experience with NVIDIA GPU architectures and tools like CUDA-X libraries (e.g., cuBLAS, cuDNN, RAPIDS), plus familiarity with MLOps technologies such as Docker and Kubernetes, will help candidates stand out.

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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