Senior Hardware Validation Methodology Engineer

Benefits

• analysis, system integration solutions, and system POR alignment.
• As a member of this team, you will define the validation methodology, design, SW/FW, and tool requirements needed for HW validation and bring up next-gen silicon.
• Your work will directly benefit the quality of NVIDIA products.
• What you'll be doing: Create and own methodology for deriving baseline requirements for validation platforms.
• Collaborate with cross ‑ functional silicon validation teams to understand justification, tradeoffs, and design constraints, and reflect them in platform requirements.
• Ensure the bring ‑ up platform is fully compatible with required thermal solutions, power ‑ delivery configurations, and platform peripherals.
• Maintain the Engineering Requirements Document (ERD) to capture and track validation platform requirements across datacenter, client, automotive, and embedded programs.
• Primary interface between silicon validation teams and platform design teams, driving alignment on requirements and final implementation.
• What we need to see: BS or MS degree in EE/CE or equivalent experience Effective in a collaborative environment. 5+ years of experience in silicon bring-up, platform validation, and platform design.
• Working experience in a few of the following areas: HSIOs like PCIE or chip-to-chip interconnects including understanding of process/temp/voltage sensitivity on BER.
• Broad exposure to various silicon validation and bring-up stages, including system integration testing, speed characterization, noise characterization, feature tuning, electrical validation, thermal and power controller tuning, PVT testing, HTOL, and SLT.
• Experienced in PCB design and/or layout as well as f amiliar with large-scale data center topologies involving hosts, switches, retimers, and end points.
• Strong foundation in electrical engineering, with solid knowledge of computer architecture, high-speed interfaces, timing analysis, process variations, statistical error rates, and power analysis.
• Experience in applying AI to semiconductor co-design/validation problems and learning the domain quickly.
• Knowledgeable in using AI-assisted workflows to accelerate automation, data analysis, root cause investigation, and documentation.
• With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the world’s most desirable employers in the technology field.
• We encourage you to join our team, which consists of some of the most hard-working people in the world working together to promote rapid growth.
• Are you passionate about joining an outstanding team supporting the latest in GPU and AI technology? If so, we want to hear from you.