Solutions Architect, Worldwide Field Operations - New College Graduate 2026 at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Cloud Services, Retail, Healthcare, Automotive, Robotics, AIIndustries

Requirements

  • Bachelors or Masters degree in Computer Science, Math, Physics or related technical field or equivalent experience
  • Data Sciences, Deep Learning, or Machine Learning coursework
  • Experience with at least one scripting language (i.e. Python)
  • Programming skills in 1 or more high-level languages (C, C++, Java, etc)
  • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills
  • Strong verbal and written communication skills, including presentation skills to engage any audience
  • Strong collaboration and interpersonal skills
  • Passion for continuous learning and knowledge transfer
  • Enjoy working in a constantly evolving environment without losing focus

Responsibilities

  • Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using NVIDIA technologies
  • Partner with Sales Account Managers or Developer Relations Managers to secure design wins, assist in technical conversations and support the product through customer proof-of-concept evaluations
  • Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues
  • Work closely and collaborate with the NVIDIA customer account team, other Solutions Architects, and/or product engineering teams during quarterly rotation assignments
  • Raise and provide timely advance warning of critical customer issues that require additional attention
  • Present platform solutions to customers, partners, community, etc
  • Participate in 18-month rotation program through customer-facing teams supporting industries such as hyperscale cloud service providers, retail, healthcare, automotive, robotics and AI Factory (some assignments might require up to 15% travel)
  • Become a domain specialist on at least 1 cloud managed service and NVIDIA technology by end of rotation

Skills

Deep Learning
GPU Computing
CUDA-X
Omniverse
NVIDIA AI Enterprise
Data Analytics
Cloud Services

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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