Senior Post-Silicon Validation and Methodology Engineer
NVIDIA
NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking versatile engineers who are passionate about what they do and are committed to making a difference in the world through their inventions.
Silicon Solutions Group is a multifaceted, multi-functional team at NVIDIA, and we are seeking a versatile engineer to be part of the HW ArchDev team. The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition through bring-up to productization. Our ArchDev arm is a hub for all silicon and system-level feature development, ROI analysis, system integration and power management solutions, system POR alignment, and system feature’s bring-up, validation, issue debugging and feature optimization.
What you will be doing:
Proactively dive into new feature and spec from Pre-Si and lead test strategies development, including functional validation methodology, characterization and tuning strategy, platform/component interoperability, test design, debug capability and tools/scripts, system, SLT, and manufacturing test requirement.
Develop bring-up, validation, tuning, and productization plans.
Build supporting tools/script/infrastructure with relevant stakeholder teams.
Continuously optimize validation and productization processes and methodologies to improve overall quality and efficiency.
Proactively drive and identify opportunities and methods for test strategies and validation methodology optimization, efficiency improvement and innovation based on project learnings and challenging.
What we need to see:
MS degree in EE/CE or equivalent experience.
6+ years in silicon bring-up, validation, performance/power optimization, issue debug, productization, or equivalent.
Strong fundamentals in digital design, computer architecture, power analysis, timing, fault analysis, statistics, and IO interface, PLL and cloc ; Deep understanding of SW/firmware and HW/SW interaction.
Excellent verbal communication and written, presentation skills.
Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) is preferred.
Basic programming and scripting skills such as C/C++, Python, and Perl. Windows and Linux OS knowledge are plus.
Excellent problem-solving, teamwork, and interpersonal skills, effective in a collaborative environment.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.