NVIDIA · 6 hours ago
Speed and Reliability Design for Productization Engineer
NVIDIA is the industry leader in high-performance computing, gaming, and AI. The Speed and Reliability Design for Productization Engineer will lead and craft testability features related to Speed, Timing, and Reliability for NVIDIA's chips, collaborating with various teams to ensure quality and efficiency in productization processes.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Driving methodology and design for NVIDIA testing and deploying new HW features. Crafting related tools and methods to ensure SOL, efficient testing meeting quality benchmarks. Scope spans from the datacenter to the chip level
Creating productization processes and methodologies to guide SSG teams on templates to characterize, test, and release state-of-the-art products. Specify critical metrics to meet across the process and improve these based on findings
Prototype and fine-tune these on pre-production silicon (including test chips) fabricated using innovative processes for speed, performance, power, yield, and quality
Provide guidance to silicon-facing teams on how to take the feature to productization, including hands-on bringup for feature validation
Collate takeaways from silicon and correlate to design. Provide feedback to improve the feature in the future, thus being responsible for the feature roadmap for all NVIDIA products
Collaborating with the best minds in NVIDIA across various teams (System Architecture, Automation, PDE, Application Engineering, Product Manager, Sales, Operations) in a dynamic, creative work environment to bring industry-defining products to market
Qualification
Required
MS in EE, CE, Systems Engineering (or equivalent experience) and 5+ years of experience in a related hardware engineering position
Previous engineering experience in CPU/GPU/SOC NPI bringup, with focus on driving methodologies and test plans
Familiarity with silicon bringup and tuning a plus, related to timing, speed, reliability and power
Familiarity with STA timing closure, circuit design, noise characterization, product binning methods, and/or performance/power optimization techniques
Preferred
Familiarity with statistical methods and tools for data analysis
Background with substrate and power supply noise analysis and mitigation
A 'go-getter, can get it done' attitude and independent 'out-of-the-box' thinking
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
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