Silicon CAD Engineer IV
Mercor • Remote • Posted 57 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
57d ago
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About this Role
Perform comprehensive power analysis at various design stages, spanning from RTL to GDSII. Contribute to the development, improvement, and automation of various power analysis flows, including gathering and analyzing large datasets for power modeling via automated processes. Investigate and address power inefficiencies, providing actionable feedback to the RTL design team.
Location Requirements
Responsibilities
Qualifications
About Cincinnatus
Equal Employment Opportunity
Perform comprehensive power analysis at various design stages, spanning from RTL to GDSII. Contribute to the development, improvement, and automation of various power analysis flows, including gathering and analyzing large datasets for power modeling via automated processes. Investigate and address power inefficiencies, providing actionable feedback to the RTL design team. Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
- Perform comprehensive power analysis at various design stages, spanning from RTL to GDSII.
- Contribute to the development, improvement, and automation of various power analysis flows, including gathering and analyzing large datasets for power modeling via automated processes.
- Investigate and address power inefficiencies, providing actionable feedback to the RTL design team.
- Demonstrated experience with RTL-to-GDSII design flow usage and development in advanced technology nodes (7nm and below).
- Expertise in low-power implementation and signoff, including power gating, multiple voltage rails, and Unified Power Format (UPF) usage.
- Proven experience in power analysis and reduction utilizing industry-standard tools such as PrimeTime PX/PrimePower.
- Proficiency in scripting languages, with a strong emphasis on Python and ML/AI frameworks.
- Working knowledge of RTL design principles.
- Experience in RTL power optimization using specialized tools like Power-Artist.
- Ability to learn quickly, explore new ideas, and iterate rapidly to achieve optimal results.
- Experience with synthesis and Place and Route (PnR) flows (preferred).
- Experience analyzing Intellectual Property (IP) design for power characteristics and building run-time estimation models for use by software/firmware teams (preferred).
- Skills in data analysis and data modeling, including the application of machine learning approaches (preferred).
- Bachelor’s degree in Electrical/Computer Engineering or Computer Science required.
- Master’s degree preferred but not required.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Design
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($60/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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