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ASIC Architecture Performance Modeling Engineer
Seattle, WA
Nov 20, 2024

We are seeking a highly skilled and motivated ASIC Architecture Performance Modeling Engineer to join our client’s team on a contract basis. In this role, you will be responsible for modeling storage systems, with a focus on NVMe as the main protocol, using C/C++. You will work closely with system architects, design engineers, and verification teams to ensure that the performance requirements are met and optimized.

Key Responsibilities:

  • Develop and maintain performance models for storage systems, specifically focusing on NVMe protocol, using C/C++.
  • Collaborate with system architects to define functional and performance requirements for storage solutions.
  • Conduct performance analysis and trade-off studies to guide architectural decisions related to storage systems.
  • Support design and verification teams to ensure features and performance meet architectural requirements for storage solutions.
  • Conduct extensive data analysis and modeling to quantify performance metrics and identify bottlenecks in storage systems.
  • Test and validate the performance models to ensure accuracy and reliability.
  • Correlate performance models with actual RTL simulation results to ensure consistency and identify discrepancies.

Qualifications:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • Proven experience in ASIC architecture and performance modeling, specifically for storage systems.
  • Proficiency in C/C++ programming.
  • Strong understanding of computer architecture and hardware design, with a focus on storage systems.
  • Experience with performance analysis tools and methodologies.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Experience with NVMe protocol and other storage-related technologies.
  • Knowledge of performance optimization strategy for storage systems.
  • Familiarity with silicon development processes and methodologies.

The target hiring compensation range for this role is $72.76 to $80.84 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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Client Description

Our client is a large technology company based in Redmond, Washington with a mission to empower every person and every organization on the planet to achieve more. They develop computer software, consumer electronics, personal computers, and related services. This company enables digital transformation for the era of an intelligent cloud and an intelligent edge.

Working here, you will be part of a company that values:

  • Innovation
  • Diversity and inclusion
  • Corporate social responsibility
  • AI
  • Trustworthy computing

Why work with AQUENT? Check out our awesome benefits: https://aquent.com/talent/talent-benefits

Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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ASIC Architecture Performance Modeling Engineer
Aquent Talent
Seattle, WA
Nov 20, 2024
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