System Speed and Reliability Co-Design Engineer

Job Title

System Speed and Reliability Co-Design Engineer

Role Summary

Work on system-level speed and reliability features from architecture through productization. The role partners with architects, hardware, firmware/software, process/reliability, and operations teams to define specifications, validate silicon behavior, and lead debug to meet schedule and quality targets.

Experience Level

Mid-level. Requires approximately 4+ years of relevant hardware engineering experience.

Responsibilities

Lead co-design, validation, and automation efforts that ensure performance, power, and reliability targets across pre- and post-silicon phases.

• Collaborate cross-functionally to co-design system-level speed and reliability features.
• Define system specifications, margins, and bounding constraints for performance and quality.
• Provide system requirements to hardware and feature owners from pre-silicon through productization.
• Translate hardware and architecture requirements into validation techniques with broad test coverage.
• Perform closed-loop validation: correlate silicon behavior with timing simulation and provide actionable feedback.
• Define and refine pre- and post-silicon bring-up flows to improve schedule efficiency and product quality.
• Design and implement automation for system speed modeling; apply AI/LLM-assisted workflows for log analysis and debugging.
• Architect testability features and lead debug of complex silicon/system-level issues that block shipments.

Requirements

Must-have technical skills and practical experience required to perform the role.

• 4+ years of experience in hardware engineering or related roles.
• Hands-on experience with silicon bring-up, frequency and power characterization, and PPA analysis in pre- and post-silicon phases.
• System/platform-level understanding, tester-to-system correlation, and experience with lab instrumentation (oscilloscopes, multimeters, DAQs).
• Proficiency scripting in Python and/or Perl; comfortable working in Windows, Linux, and Android environments.
• Familiarity with statistical methods and data analysis tools (e.g., JMP or equivalent).
• Demonstrated use of AI/LLM tools (e.g., Claude, Copilot, ChatGPT) in engineering workflows for scripting acceleration, log triage, or data analysis, with sound validation practices.

Nice-to-have:

• Experience in gaming, automotive, or datacenter product segments.
• Experience building or deploying AI-assisted characterization, log analysis, or debug automation in production silicon environments.
• Familiarity with LLM evaluation, prompt engineering, or agentic scripting pipelines applied to silicon data.

Education Requirements

MS in Electrical Engineering, Computer Engineering, Systems Engineering, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.