Senior Speed Characterization Engineer
3 weeks ago
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work to amplify human creativity and intelligence. Make a choice, and join our diverse team today
The Silicon Solutions Group (SSG) is where innovation meets impact. Our mission is to craft extraordinary GPU and SoC products that power Artificial Intelligence, Gaming, Virtual Reality, Autonomous Vehicles, Enterprise Servers, Visual Computing, Home Entertainment, Datacenters, Servers, Automotive, Embedded Systems, and more. From silicon design to software integration and final deployment, we drive NVIDIA's success in multiple market segments. Here, you'll find a unique opportunity to collaborate across the company, shape the future of technology, and advance your career in a role of significant influence. Our journey begins at the inception of ideas and extends to defining the products. We aim to continually push the boundaries of what's possible and make groundbreaking impacts.
What you'll be doing:
Silicon Bring-up & Validation: Play a central role in the early stages of silicon life by participating in bring-up and post-silicon validation, steering these innovations toward mass production.
Pre-Production Characterization: Apply groundbreaking fabrication processes to characterize pre-production silicon, focusing on speed, performance, power, yield, and overall quality.
PVT Analysis & Tool Development: Understand silicon behavior across Process-Voltage-Temperature (PVT) conditions and employ this knowledge to develop automation tools for characterization, data collection, test execution, and results analysis.
Methodological Innovation: Create methodologies for feature characterization, correlating silicon behavior with simulations, and providing vital design feedback for future enhancements.
Cross-Functional Teamwork: Engage with NVIDIA's brightest minds in various departments, including System Architecture, Product Design Engineering, Application Engineering, and more, to introduce groundbreaking products.
What we need to see:
A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field, or equivalent experience. Systems Engineering or a related
5+ years of hardware engineering experience, specifically silicon bring-up and characterization.
Proficiency in lab tools (oscilloscopes, multimeters, DAQ) and familiarity with product binning and optimization techniques.
Strong background in programming (Perl, C/C++, Python) and operating systems (Windows, Linux, Android).
Scripting skills are highly valued.
Knowledge in digital design, circuit analysis, computer architecture, and software applications.
Comfortable in a lab environment and demonstrate a passion for the creation, execution, and improvement of silicon validation plans.
Ways to stand out from the crowd:
Demonstrating expertise in statistical data analysis methods.
Showing familiarity with substrate and power supply noise analysis and mitigation techniques.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.-
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