ASIC Methodology Engineer

Qualcomm Technologies, Inc.
San Diego, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 230K

Job location

Remote
San Diego, United States of America

Tech stack

Computer Programming
Revision Control Systems
Python
Perforce
Software Architecture
Static Timing Analysis
Application Specific Integrated Circuits
Chatbots
Large Language Models
Generative AI
GIT
Information Technology
Vlsi Design
Data Management
GPT

Job description

As a member of the DTECH Methodology team, you will work closely with core and SOC teams to enable a state-of-the-art design analytics platform. Your work will have a consequential impact on the power, performance, area, and quality of Qualcomm's products., Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Requirements

  • M.S/Ph.D. degree in Electrical Engineering or Computer Science with 1-2 years of relevant experience with ASIC/VLSI design tools and flows
  • Strong programming skills in Python
  • Hands-on experience with static timing analysis (STA) tools, e.g., PrimeTime and Tempus
  • Problem-solving and analytical mindset, * Critical thinking with good software architecture understanding to develop platforms at scale
  • Familiarity with GenAI models (e.g., LLMs such as GPT, Liama, etc.) and their application in real-world solutions, such as chatbots, etc.
  • Experience designing and developing agentic AI systems
  • Experience with version control tools like Perforce or Git
  • Experience with place & route tools and a good understanding of the ASIC RTL-GDSII design flow, Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.

Benefits & conditions

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits: $153,200.00 - $229,800.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.

About the company

The DTECH team is part of the Global SOC organization and is responsible for STA methodology and signoff, foundry technology enablement and analysis, design automation and internal and external EDA tools, design analysis and optimization tools and platforms, low power architecture, methodology, and IP, and foundation IP development.

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