Silicon Design Engineer

BCforward
Austin, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 146K

Job location

Austin, United States of America

Tech stack

Artificial Intelligence
Data analysis
Big Data
Firmware
Python
Machine Learning
System on a Chip
Scripting (Bash/Python/Go/Ruby)
Power Analysis (Cryptography)

Job description

We are seeking a highly skilled Silicon Design Engineer to join our innovative engineering team. In this role, you will be responsible for designing, developing, and verifying advanced silicon components and integrated circuits used in cutting-edge electronic systems. Your expertise will contribute to the creation of high-performance System-on-Chip (SoC) architectures., * 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. This includes gathering and analyzing large datasets for power modeling via automated processes.
  • Investigate and address power inefficiencies, providing actionable feedback to the RTL design team

Requirements

Do you have experience in Python?, * 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.
  • Experience analyzing Intellectual Property (IP) design for power characteristics and building run-time estimation models for use by software/firmware teams.
  • Skills in data analysis and data modeling, including the application of machine learning approaches.

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