INACTIVE
Full-Time
Silicon Solution Engineer – New College Grad 2024
Posted on 10/10/2023
GPU-based accelerated computing solutions
AI & Machine Learning
Compensation Overview
$92,000 - $172,500
Entry
Santa Clara, CA, USA
Required Skills
Python
JavaScript
Data Structures & Algorithms
Web Development
Data Analysis
Requirements
- Completing a BS or MS degree in EE, CE, Systems Engineering or equivalent experience
- Problem solving, debugging, analysis and logical reasoning skills with examples to prove it
- Understanding of digital design, circuit analysis, algorithms, computer architecture, BIOS, drivers, and software applications
- Strong programming skills in one or more of Python, JavaScript, C/C++
Responsibilities
- Develop and implement methodologies to characterize silicon and validate system features on pre-production silicon
- Drive root-causes analysis efforts of hardware failures through lab experimentation and collaboration with other teams within NVIDIA
- Find innovative solutions to sophisticated silicon and system level problems to productize silicon and refine future designs to fine-tune architected features post-solicon
- Analyze workloads like DL/AI, AAA games, Adobe Suite, and Video Conferencing to understand how we can push market leading energy efficiency
- Characterize pre-production silicon fabricated using innovative processes for speed, performance, power, yield, and quality to draw correlation to design
- Design or commission tools on evaluation platforms to automate and optimize characterization, data collection, test case execution, and results analysis
- Analyze workloads to achieve best-in-class energy efficiency and evaluate the return and investment of new techniques and features, including use case benefit and design-for-productization
Desired Qualifications
- Familiarity with statistical methods, tools for data analysis, and analyzing large datasets to draw actionable conclusions, possibly applying deep learning techniques
- Knowledgeable in signal integrity, timing analysis, fault analysis, sampling, computer architecture, filters
- Familiar with lab tools (oscilloscopes and logic analyzers)
- Experience in Database and Web Development is a plus!
NVIDIA is a leading provider of data processing for artificial intelligence, known for pioneering the GPU in 1999, which revolutionized computer graphics and accelerated computing. The company offers data-center-scale solutions that are reshaping various industries and driving the development of the metaverse, utilizing cutting-edge GPU technology.
Company Stage
Grant
Total Funding
$4.2B
Headquarters
Santa Clara, California
Founded
1993
Growth & Insights
Headcount
6 month growth
↑ 6%1 year growth
↑ 19%2 year growth
↑ 18%INACTIVE