Senior Solutions Architect, GPU - Cloud Service Providers at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
8+ years of engineering (performance/system/solution) experience
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application
Effective engineering program management with the capability of balancing multiple tasks
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments

Responsibilities

Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers
Analyzing and developing solutions for customer performance issues for both AI and systems performance

Skills

Key technologies and capabilities for this role

AI/MLHPCLLM TrainingLLM InferencePerformance BenchmarksData Center SystemsAI AcceleratorsNetworkingSystems ArchitectureProof of ConceptsDebuggingEngineering Program Management

Questions & Answers

Common questions about this position

What is the base salary range for this position?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is not specified numerically in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What are the required qualifications and skills for this role?

Candidates need a BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, 8+ years of engineering experience, hands-on experience with performance benchmarks for data center systems including AI training and inference, understanding of systems architecture with AI accelerators and networking, effective program management, and strong communication skills.

What does the team and work environment look like at NVIDIA for this role?

You will join the Solutions Architecture team, working with tech giants, partnering with Sales Account Managers and Developer Relations Managers, and collaborating with strategic customers on AI/ML and HPC solutions.

What experience will make me stand out as a candidate?

Hands-on experience with Deep Learning frameworks like PyTorch and JAX, compilers like Triton and XLA, NVIDIA libraries, deep learning architectures, LLM developments, NVIDIA hardware/software performance tuning, GPU systems benchmarking, and deploying solutions in cloud environments like AWS, GCP, Azure with DevOps/MLOps technologies.

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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