Solutions Architect, AI Software at NVIDIA

Austin, Texas, 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 proven experience as a solution architect or technical presales role
Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions
Expert knowledge of theory and practice of AI workloads and HW deployments
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts
Desire to be involved in multiple diverse and creative projects
Comfortable working in a multifaceted environment and experience with Generative AI, LLMs, Deep Learning, and GPU technologies

Responsibilities

Collaborate with NVIDIA's OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs using Nvidia software stack
Build custom product demonstrations and POCs for solutions that address the critical business needs of our customers
Train channel technologists on joint AI solution offerings from NVIDIA and OEM partners
Work as a key member of our OEM team as a technical authority on NVIDIA products
Some travel to conferences and customers may be required

Skills

Key technologies and capabilities for this role

Generative AILLMsDeep LearningGPUsNVIDIA software stackx86ARMNetworkingStorageAI workloads

Questions & Answers

Common questions about this position

What is the base salary range for this Solutions Architect role?

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 position remote or does it require office work?

This information is not specified in the job description.

What are the key required skills for this Solutions Architect position?

Candidates need a BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or related fields, 8+ years as a solution architect or technical presales role, experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions, and expert knowledge of AI workloads and HW deployments.

What is the company culture like at NVIDIA for this role?

NVIDIA has forward-thinking and hardworking people, values creative and autonomous individuals, and offers an interdisciplinary team environment using the latest technologies at the forefront of technological advancement.

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

Stand out with experience in NVIDIA GPUs and software libraries like NVIDIA NIM, NeMo Framework, Triton Inference Server, TensorRT, TensorRT-LLM, large-scale cluster bring-up, excellent C/C++ programming skills, parallel programming, distributed computing, and building large-scale HW solutions for enterprise workloads.

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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