Architect system and silicon features to enhance performance, power efficiency, and thermal behavior.
Drive improvements in V/F curves, Vmin, TGP, speed grading, and thermal envelopes through co-design.
Design chip, system, and package-aware features that enhance testability, coverage, and yield.
Define manufacturing-aware methodologies linking test, SRAM behavior, binning, and package constraints to product performance.
Co-design test strategies and screening methods to reduce overkill, test time, and miscorrelation.
Operate across the full lifecycle—from system architecture and pre-silicon strategy to post-silicon success.
Translate ambiguous product requirements into executable architectures and validation plans.
Leverage AI tools to accelerate engineering work while applying strong judgment on when to trust, verify, or override outputs.

Requirements

Master’s degree (or equivalent experience) in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or related field.
8+ years of experience in system architecture, silicon performance, manufacturing co-design, or post-silicon validation.
Deep understanding of DVFS, binning, power/thermal management, and performance trade-offs in advanced GPUs or SoCs.
Ability to reason across circuit behavior, system constraints, and manufacturing realities.
Comfort with hands-on lab work as well as abstract architectural reasoning.
Strong scripting and analysis skills (e.g., Python, Perl) for automation, modeling, and data-driven decision making.
Clear technical communication and the ability to document and defend engineering decisions.

Benefits

Competitive salaries
Equity
Generous benefits package
Dynamic work environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

system architecturesilicon performancemanufacturing co-designpost-silicon validationDVFSbinningpower managementthermal managementscriptingdata analysis

Soft Skills

technical communicationjudgmentabstract reasoningproblem-solvingcollaboration