Full-Time

Solutions Architect

Agentic AI

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

$148k - $230kAnnually

+ Equity

Senior

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Requirements
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
  • 5+ years of hands-on experience in DL and DL systems design
  • Strong fundamentals in programming, optimizations and software design, especially in Python
  • Strong problem-solving and debugging skills
  • Excellent knowledge of theory and practice of DL and Generative Models
  • Excellent presentation, communication and collaboration skills
  • Desire to be involved in multiple diverse and creative projects
Responsibilities
  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
  • Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areas
  • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform for Agentic AI systems
  • Working closely with customers to help them adopt and build solutions using NVIDIA technology
  • Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases
  • Some travel to conferences and customers may be required

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.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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