Solutions Architect, New College Graduate 2027

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
53 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $185k
$121k $248k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $133,375–$235,750.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Solutions Architect, New College Graduate 2027

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JOB TITLE: Solutions Architect, WWFO - New College Graduate 2027 As a Solutions Architect, New College Graduate 2027, you will join a 15-month rotation program to work alongside expert engineers and customer-facing teams. You will assist with technical engagements for external developers, analyzing workloads to determine how the hardware and software stack can support them. Your daily responsibilities include designing and validating scalable architectures, building and testing solutions, and creating onboarding materials or demos. You will utilize skills in systems engineering, software development, and technical problem-solving. Required technical knowledge includes GPU computing, AI/ML frameworks like PyTorch and JAX, cloud infrastructure such as AWS, Azure, and GCP, and systems-level programming in CUDA, C++, and Python. You will solve complex problems across hyperscalers, AI factories, healthcare, automotive, and robotics.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

Skills

GPU Computing PyTorch JAX CUDA C++ Python AWS Azure GCP Docker Kubernetes SLURM Ansible Git LLMs RDMA NCCL MLOps Distributed Systems Linux

What you'll do

  • Analyze external developer workloads to identify how NVIDIA's technology stack can support their specific needs.
  • Design and validate scalable architectures and develop integration plans for customer and partner solutions.
  • Build, test, and validate technical solutions to help customers scale NVIDIA technologies.
  • Support customers in troubleshooting issues and navigating NVIDIA’s tools, SDKs, and platforms.
  • Create onboarding materials, demos, and documentation to drive platform adoption for developers and enterprises.
  • Work with engineering and product teams to ensure successful customer deployments of NVIDIA solutions.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience).
  • Hands-on experience with systems engineering, software development, or technical problem-solving through academic projects or internships.
  • Foundational knowledge in GPU computing, AI/ML frameworks, cloud infrastructure, distributed systems, or systems-level programming.
  • Experience working with LLMs, agentic workflows, and AI application development.
  • Ability to explain technical concepts clearly to both technical and non-technical audiences.
  • Strong debugging instincts and a collaborative attitude for team-based environments.
  • Early experience supporting customers or partners in adopting new technologies (preferred).
  • Familiarity with Linux, networking, security, Git, containers, and tools like Docker, Kubernetes, SLURM, or Ansible (preferred).

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