GPU Architect - New College Grad 2026

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $124,000–$195,500 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k

This role $160k

$110k most similar roles pay here $256k

This role pays less than 77% of similar roles. Most pay $166,037–$235,750 — the shaded band above. At the midpoint, this role pays about $160k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

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 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · GPU Architect - New College Grad 2026

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NVIDIA’s GPU Architecture Group is hiring recent graduates or those soon to graduate for a role focused on designing and validating GPU profiling and performance telemetry features within a multidisciplinary team. You will build functional and performance models for GPU hardware, write test plans, and contribute to infrastructure that supports the development process while collaborating closely with architects, ASIC designers, and software engineers. The ideal candidate has a strong foundation in computer architecture and AI workload acceleration, along with programming skills in C++ and Python, and experience in areas like SystemC or CUDA. This role offers opportunities to influence the design of NVIDIA’s leading-edge AI platform, requiring deep knowledge of GPU architecture and performance analysis.

Skills

C++ Python SystemC CUDA Git CI/CD Linux NVIDIA_GPU_Architecture AI_Workload_Acceleration Performance_Modeling Hardware_Simulation Profiling_Tools GPGPU_Programming Open_Source_Contributions

What you'll do

Build and maintain functional models for GPU hardware features.
Write and execute test plans to validate designs across configurations.
Contribute to infrastructure supporting the hardware development process.
Develop deep knowledge of GPU architecture and performance analysis.
Collaborate with architects, ASIC designers, and software engineers on projects.

What we're looking for

Recent M.S. or PhD in Computer Science, Engineering, or related field
Strong foundation in computer architecture and AI workload acceleration
Proficiency in C++ and Python programming languages
Experience with performance modeling, hardware simulation, verification
Familiarity with SystemC or other hardware modeling frameworks
Contributions to GPU architecture or accelerated computing projects

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