ASIC Engineer, Power

About the role

• Skip to main content
• Jobs
• Teams
• Career Programs
• Working at Meta
• Blog
• Podcasts
• Jobs
• ASIC Engineer, Power
• ASIC Engineer, Power
• Sunnyvale, CA +1 location
• Engineering
• + 4 more

Meta is building custom silicon to power the infrastructure that underlies its family of products and services. As an ASIC Engineer specializing in power on the EDA Infrastructure team, you will develop and maintain power analysis and optimization flows that enable silicon engineers across the organization to accurately model, estimate, and reduce power consumption in custom ASIC designs. In this role, you will work at the intersection of EDA tooling, physical design, and power methodology, helping to define the infrastructure that shapes how Meta's next-generation chips are designed and verified.

Engineer, Power Responsibilities

• Develop and maintain power analysis flows including dynamic and static power estimation, vectorless analysis, and power intent verification using industry-standard EDA tools
• Define and implement power methodology guidelines for RTL, synthesis, and physical design stages of the ASIC development flow
• Collaborate with RTL design, physical design, and verification teams to identify and resolve power hotspots and inefficiencies across custom ASIC designs
• Build and optimize EDA infrastructure scripts and automation frameworks to improve power signoff accuracy and turnaround time
• Evaluate and integrate commercial and internally developed EDA tools into the power analysis flow, providing technical assessments and recommendations
• Develop power intent specifications using UPF or CPF and ensure consistent application across design and implementation stages
• Establish power budgets and track power metrics across design milestones, communicating results and risks to cross-functional stakeholders
• Drive continuous improvement of power closure methodologies by analyzing results across multiple tape-outs and identifying systemic opportunities
• Provide technical guidance to other engineers on power analysis best practices, flow usage, and debug techniques
• Partner with EDA tool vendors to evaluate new capabilities and influence tool roadmaps to meet Meta silicon design requirements

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of experience in ASIC design or physical design with a focus on power analysis, power optimization, or power signoff
• Experience developing or maintaining EDA flows for power analysis using tools such as Synopsys PrimePower, Cadence Voltus, or equivalent
• Experience with power intent specification languages such as UPF or CPF and their application across RTL-to-GDSII flows
• Experience scripting in Python, Tcl, or shell to build and automate EDA infrastructure workflows
• Experience collaborating across RTL design, physical design, and verification disciplines to drive power closure on complex ASIC designs
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Preferred Qualifications

• Experience evaluating and qualifying new EDA tools or methodologies in a production silicon environment
• Familiarity with custom or semi-custom design flows for high-performance computing or data center silicon
• Experience with low-power design techniques including clock gating, power gating, multi-voltage domain design, and dynamic voltage and frequency scaling
• Background in developing internal EDA infrastructure tooling or flow automation at scale across multiple concurrent design projects

Find your role

• Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.
• View jobs
• Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.

• Sign up to ask follow-up questions
• Job Search
• Technology Teams
• Artificial Intelligence
• Creative
• Infrastructure
• Metaverse and Wearables
• Product and Program Management
• Research and Data
• Security
• Software Engineering
• Business Teams
• Business Operations
• Partnerships
• Sales and Marketing
• Career Programs
• Research
• Accelerate Eng Talent
• Students and Grads
• Rotational Programs
• Working at Meta
• Accessiblity and Engagement

Benefits

• Culture
• Hiring Process
• My account
• Career profile
• Account settings
• Messages
• Meta Careers Blog
• Meta Tech Podcasts