Full-Time

Senior Solutions Architect

Global Partner Team

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$180k - $276kAnnually

+ Equity

Senior

California, USA + 2 more

More locations: Santa Clara, CA, USA | United States

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Kubernetes
Data Science
LangChain
Requirements
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
  • 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs
  • Strong development experience with RAG and workflows building GenAI applications.
  • Developer experience with LangChain and LangGraph orchestrating LLMs
  • Working experience of orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.
  • Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.
Responsibilities
  • Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services.
  • Work with business managers to thoughtfully craft the vision, actionable and effective strategies for the group.
  • Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.
  • Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable immersive experiences and drive advancements in multiple industries.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

15%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts AI infrastructure scalability.
  • Acquisition of VinBrain strengthens NVIDIA's AI capabilities in healthcare.
  • Participation in Nebius Group financing expands NVIDIA's AI infrastructure.

What critics are saying

  • Increased competition from Ayar Labs in AI infrastructure.
  • Potential integration challenges with VinBrain acquisition.
  • Internal competition from Nebius Group's AI infrastructure expansion.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets.
  • NVIDIA's cloud services enhance AI and machine learning applications.

Help us improve and share your feedback! Did you find this helpful?