SCG sits at the crossroads of design, architecture, marketing, andproductization—owningthe journey from the architecture stage through final product definition across Gaming, Datacenter, Automotive, and Embedded markets. As a System Verification CoDesign Engineer, you will work on system-level speed features, develop the verification collaterals and automation infrastructure to characterize and validate them, and leaddebugof the complex silicon issues that stand between a program and on-time shipment. This is a hands-on role for an engineer who combines deep technical craft with the drive to compress cycle time using modern toolingincluding AIwithout losing rigor.

WhatYoullBe Doing:

• Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products.

• Understand system level behavior and speed reliability margins,bounding box constraintsand identify solutions that optimize margins.

• Translate hardware features and architectural requirements into verification techniques that achieve full coverage across testing flows.

• Perform closed loop validation by correlatingsilicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs.

• Define, prototype, and refine pre- and post-silicon bring-up flows to ensure product quality, performance, and schedule efficiency.

• Design and implement automation tools for system speed modeling; apply AI and LLM-assisted workflows (e.g., automated log analysis, pattern detection, scripting acceleration) to compress characterization and debug cycles.

• Architect and influence testability features critical to performance, power, and reliability in partnership with design,DFx, and ATE teams.

• Lead debug of complex silicon and system-level issues, including show-stopper defects, to enable on-time product shipment.

What We Need to See:

• MS in EE, CE, Systems Engineering, or equivalent experience.

• 4+ years of experience in a related hardware engineering role.

• Hands-on experience with silicon bring-up, frequency and power characterization, PPA analysis in pre- and post-silicon phases,System/Platform level understanding,tester-to-system correlation, and lab instrumentation (oscilloscopes, multimeters, DAQs).

• Scriptingproficiencyin Python and/or Perl; comfortable in Windows, Linux, and Android environments.

• Familiarity with statistical methods and data analysis tools (JMP or equivalent).

• Demonstrated use of AI or LLM-based tools (e.g., Claude, Copilot, ChatGPT) in an engineering workflowscripting acceleration, log triage, data analysiswith clear judgment about output validation and where automation introduces risk.

Ways to stand out from the crowd:

• Background in gaming, automotive, or datacenter segments.

• Experience building or deploying AI-assisted characterization, log analysis, ordebugautomation workflows in a production silicon environment.

• Familiarity with LLM evaluation, prompt engineering, or agentic scripting pipelines applied to silicon data analysis.