Senior Solutions Architect, Generative AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
Strong fundamentals in programming, optimizations and software design, especially in Python
Strong problem-solving and debugging skills
Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference
Excellent presentation, communication and collaboration skills
Desire to be involved in multiple diverse and creative projects
Comfortable working in a dynamic environment with experience in Generative AI, LLMs, and GPU technologies

Responsibilities

Partnering with other solution architects, engineering, product and business teams to understand strategies and technical needs and help define high-value solutions
Dynamically engaging with developers, scientific researchers, data scientists across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting NVIDIA's computing platform
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Analyze performance and power efficiency of deep learning inference workloads
Collaborate with diverse internal teams on performance analysis and modeling of inference software
Work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs)
Some travel to conferences and customers may be required

Skills

Key technologies and capabilities for this role

Generative AILarge Language ModelsLLMsPyTorchTensorFlowDeep LearningGPUAccelerated ComputingInferencePerformance Analysis

Questions & Answers

Common questions about this position

What is the salary and benefits like for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Solutions Architect role?

Candidates need a BS, MS, or PhD in Computer Science or related fields (or equivalent), 8+ years of hands-on experience with Deep Learning frameworks like PyTorch and TensorFlow, strong Python programming and optimizations, strong problem-solving skills, and excellent knowledge of Large Language Models and Deep Learning inference.

What is the work environment like at NVIDIA for this role?

You will work in a dynamic environment with interdisciplinary teams, partnering across solution architects, engineering, product, and business teams, while engaging with developers, researchers, data scientists, and customers on Generative AI projects.

What makes a candidate stand out for this position?

Experience with NVIDIA GPUs and software libraries like NVIDIA NeMo Framework, Triton Inference Server, TensorRT, excellent C/C++ programming skills, familiarity with parallel programming, and prior experience with large-scale DL training or production inference optimization will help you 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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