Solutions Architect - Cloud AI at NVIDIA

Redmond, Washington, United States

NVIDIA Logo
$148,000 – $235,750Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AIIndustries

Requirements

  • 4+ years of experience in cloud computing and/or large-scale AI systems
  • BS in EE, CS, Math, or Physics, or equivalent experience
  • Proven understanding of cloud computing and large-scale computing systems
  • Proficiency in Python, C, or C++ and experience with AI frameworks like PyTorch or TensorFlow
  • Passion for machine learning and AI, and the drive to continually learn and apply new technologies
  • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts

Responsibilities

  • Act as the go-to technical expert on NVIDIA's products, helping clients architect and optimize GPU solutions for AI services
  • Collaborate directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle
  • Act as a trusted advisor to clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure

Skills

Cloud Computing
AI
Machine Learning
Python
C
C++
PyTorch
TensorFlow
Azure
AzureML
CUDA
Infiniband
Linux
GPU

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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