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AI/ML RTL Engineer

Qualcomm

AI/ML RTL Engineer

Qualcomm

Austin, Texas, United States of America

·

On-site

·

Full-time

·

1mo ago

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > DSP Architecture and Design

General Summary:

Job Description

Design and development of next‑generation microarchitecture and logic for Qualcomm’s state‑of‑the‑art Hexagon NPU, powering a wide range of AI/ML applications. In addition to microarchitecture and RTL development, the role includes providing rapid PPA (power, performance, area) feasibility analysis and feedback on new design features.

Key Responsibilities

  • Collaborate closely with architects, micro‑architects, and logic design teams to define and develop microarchitecture for future generations of Qualcomm’s Hexagon NPU.
  • Drive RTL design in System Verilog, owning features from concept through tape-out
  • Perform early logic synthesis, static timing analysis, and power estimation to validate design choices before full implementation.
  • Evaluate the design pipeline end‑to‑end—from instruction set architecture through microarchitecture, RTL development, and synthesis feasibility.
  • Utilize industry‑standard digital design tools including simulators, synthesis engines, and power/performance analysis frameworks.
  • Debug, optimize, and enhance EDA tool flows; identify and resolve tool‑related issues to improve design iteration efficiency.

Required Skills & Qualifications

  • Strong hands‑on experience with System Verilog and deep understanding of RTL design methodologies.
  • Solid foundation in AI/ML concepts
  • Proficiency in Python, Perl, and shell scripting for design automation and tooling.
  • Experience with Git and other revision control systems.
  • Strong analytical, communication, and cross‑functional collaboration skills.
  • Ability to operate both independently and effectively within a fast‑paced, team‑oriented environment.

Minimum Qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR
    Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 1+ year of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
    OR
    PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field.

  • 2+ years of experience with high-performance microprocessor design.

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 disability-accomodations@qualcomm.com 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).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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:

$127,200.00 - $190,800.00

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.

If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

Employees

San Diego

Headquarters

Reviews

3.6

5 reviews

Work Life Balance

4.0

Compensation

4.0

Culture

2.5

Career

3.0

Management

2.5

Pros

Good work-life balance

Real engineering work with technical challenges

Good compensation

Cons

Slow processes and bureaucracy

Poor management and planning

Cross-team dependencies and alignment issues

Salary Ranges

1 data points

Junior/L3

Junior/L3 · Data Scientist

0 reports

$215,000

total / year

Base

$170,000

Stock

$30,000

Bonus

$15,000

$182,750

$247,250

Interview Experience

8 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview/Onsite

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience