Arm · 10 hours ago
Principal Signoff Methodology Engineer
Austin, TX
Full-time
Hybrid
Lead/Staff
$241K/yr - $326K/yr
8+ years expArm is shaping the next generation of silicon design by combining computing, AI, and multiphysics to redefine how future SoCs are designed, implemented, and verified. The Principal Signoff Methodology Engineer will develop and code advanced methodologies for signoff and implementation, collaborating with teams to ensure high performance and reliability across technology nodes.
AnalyticsElectronicsInternet of ThingsSemiconductorSoftware
Responsibilities
Develop and code advanced signoff and implementation methodologies to optimize power, performance, area (PPA), yield, and time-to-market
Design and standardize Static Timing Analysis (STA) and signoff features used across all Arm silicon groups
Architect and automate signoff methodologies for STA, thermal, IR, and reliability — optimized for multiphysics accuracy, runtime efficiency, and scalability across large SoCs
Build and maintain automation frameworks integrating machine learning and data analytics for predictive design closure
Collaborate with Arm silicon design teams and EDA partners to standardize and scale signoff methodologies across multiple technology nodes
Develop data pipelines and visualization tools to monitor and optimize PPA, reliability, and yield metrics
Drive innovation in signoff methodology for advanced process technologies, ensuring readiness for new multiphysics effects — including 3DIC integration, thermal, dynamic IR, and reliability modeling
Qualification
Required
8–12 years of experience in SoC signoff or physical implementation methodology, including STA timing, reliability, and IR analysis, on advanced technology nodes
Strong programming and automation expertise in Python, TCL, or similar scripting languages
Deep understanding of timing closure, silicon correlation, and reliability modeling
Solid working knowledge of machine learning, statistical analysis, or AI-assisted flow development
Experience collaborating with EDA vendors on methodology development or feature enablement
Preferred
M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or a related field
Familiarity with innovative AI, including GenAI and LLM-based tools, for data-centric design automation
Strong problem-solving, algorithmic, and analytical thinking, with attention to scalability and reproducibility
Effective communication and technical leadership across multi-functional teams
Company
Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world.
5001-10000 employees
H1B Sponsorship
Arm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (295)
2024 (166)
2023 (164)
2022 (123)
2021 (103)
2020 (133)
Funding
Current Stage
Public CompanyTotal Funding
unknown2016-07-18Acquired
1999-01-15IPO
Leadership Team
Rene Haas
CEO
Jason Child
EVP & CFO
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