Aryan Saneinejad
Cupertino,CA
Summary
Hardware Development Engineer at NVIDIA with a B.S. in Computer Science from UC Davis and hands-on experience in GPU server validation, NPI, and hardware bring-up. Experienced in L10/L11 validation of GB200/GB300 platforms, firmware/BIOS updates, failure analysis, and Linux-based log analysis, with Python and Bash scripting for test automation. Seeking to apply strong debugging and cross-functional problem-solving skills to hardware validation and NPI engineering.
Overview
1
1
year of professional experience
Work History
Hardware Development Engineer
NVIDIA
Santa Clara, California
09.2026 - Current
- Drive new product introduction for GPU server trays and compute boards, performing hardware bring-up, firmware/BIOS updates, and functional, thermal, and stress validation before release to ODM and contract manufacturing partners.
- Troubleshoot tray- and board-level failures using Linux command-line tools, BMC logs, and diagnostic utilities, isolating defective components and partnering with hardware, mechanical, and supply chain teams on root cause and corrective actions.
- Prepare lab test environments and rack deployments, including power distribution, liquid-cooling readiness (CDU, manifolds, hose connections)
Test Engineer
Quanta Manufacturing
Fremont, CA
11.2025 - 09.2026
- Executed L10/L11 stage validation on GB200 and GB300 platforms across Linux-based and embedded test environments
- Installed, configured, and validated Linux OS builds
- Ran shell scripts to support automated test execution and improve test repeatability
- Analyzed system logs, identified failures, and reported defects with clear reproduction steps; verified fixes through re-testing
Education
Bachelor of Science - Computer Science
University of California, Davis
Davis, CA12-2025
Associate of Science - Computer Science
De Anza College
Cupertino, CA06-2023
Skills
- Programming skills: Python, C, C#, Java, JavaScript, TypeScript, React, Flask, TensorFlow
- Algorithm Design & Optimization
- AI, machine learning & Data analysis
- Cloud/DevOps & Tools: AWS (EC2/S3), Git, Docker (basic), Jupyter
- Linux, Bash/Shell Scripting, System Testing, Defect Reporting, Embedded/Hardware Validation, SSH, Network Protocols
- Mathematics & statistics
- Collaboration, teamwork & Time Management
- Problem-solving & analytical reasoning
- Hardware & Validation: NPI, hardware bring-up, firmware/BIOS updates, BMC/ILOM, failure analysis / root cause analysis, functional/thermal/stress testing, rack deployment, liquid cooling (CDU)
Project
Image Classification using ResNet50 and Grad-CAM
- Developed a deep learning model using ResNet50 to classify CIFAR-100 images, integrated Grad-CAM visualizations to provide insights into the model’s decision-making process.
Improving Mental Health for Employed College Students
- Designed and prototyped a web app with React frontend and Flask API for mood/sleep tracking and resources.
Timeline
Hardware Development Engineer
NVIDIA
09.2026 - Current
Test Engineer
Quanta Manufacturing
11.2025 - 09.2026
Bachelor of Science - Computer Science
University of California, Davis
Associate of Science - Computer Science
De Anza College