Solutions Architect, Worldwide Field Operations - New College Graduate 2026

at Nvidia
📍 Santa Clara, United States
USD 104,000-189,800 per year
JUNIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Kubernetes @ 3 Python @ 3 GCP @ 3 Java @ 3 Machine Learning @ 3 TensorFlow @ 3 AWS @ 3 Azure @ 3 Communication @ 6 PyTorch @ 3 CUDA @ 3 GPU @ 3

Details

NVIDIA is the world leader in GPU-accelerated computing and AI. This 18-month rotation program for new college graduates with a technical degree pairs you with experienced Solutions Architects for on-the-job training. You will work as part of NVIDIA account teams to support customers building solutions with NVIDIA software and hardware platforms, engaging with developers, researchers, and data scientists to identify critical workloads and integrate NVIDIA libraries into customer platforms. After completing the rotation program and becoming a domain specialist, you will join a Solutions Architect team in an area of your choosing.

Responsibilities

  • Set up experiments, tests, and equipment and 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 products through customer proof-of-concept evaluations.
  • Establish close technical ties to customer accounts to facilitate rapid resolution of customer issues.
  • Collaborate with the NVIDIA customer account team, other Solutions Architects, and 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, and the community.
  • Some rotation assignments may require up to 15% travel.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Math, Physics, or a related technical field (or equivalent experience).
  • Coursework in Data Sciences, Deep Learning, or Machine Learning.
  • Experience with at least one scripting language (for example, Python).
  • Programming skills in one or more high-level languages (C, C++, Java, etc.).
  • Motivated self-starter with strong problem-solving skills and customer-facing communication skills.
  • Strong verbal and written communication and presentation skills to engage diverse audiences.
  • Strong collaboration and interpersonal skills; passion for continuous learning and knowledge transfer.
  • Ability to work in a constantly evolving environment without losing focus.

Ways to stand out

  • Experience working on AI, Deep Learning, or Machine Learning applications, including model training/inferencing or other GPU-related technologies.
  • Experience using TensorFlow, PyTorch, or other deep learning frameworks.
  • Experience with Docker containers and Kubernetes.
  • CUDA programming experience.
  • Experience with both on-premises and cloud-based infrastructure.
  • System-level experience with both hardware and software.
  • Large-scale systems management experience.
  • Exposure to cloud platforms such as AWS, Azure, or GCP (coursework or certifications).

Compensation & Benefits

  • Base salary ranges (location, experience, and comparable pay considered):
    • Level 1: 104,000 USD - 172,500 USD per year
    • Level 2: 120,000 USD - 189,750 USD per year
  • Eligible for equity and company benefits.
  • Applications accepted at least until October 11, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.