NVIDIA Silicon Co-Design Group is seeking a versatile engineer to be part of the HW ArchDev team. The SCG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition through bringup to product release. Our ArchDev arm is a hub for all silicon and system-level feature development, cost-benefit 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 familiar 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.