Careers

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Posted
31 days ago
Closes
Nov 2, 2026

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Salary context

How this pay compares to similar roles

Similar $180k
$123k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,037–$208,800.

Based on 238 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

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At a glance

TL;DR · Careers

Join Qualcomm Technologies, Inc.'s Power and Limits management software group within QCT Core Technologies as a mid-level engineer, collaborating with cross-disciplinary teams to develop power-efficient architectures for next-generation chipsets. Your daily tasks will include analyzing requirements, designing robust software solutions, optimizing performance and power utilization, developing profiling tools, and participating in pre-silicon evaluations. You'll work with ARM architecture, real-time operating systems, C/ASM programming, Python scripting, and version control systems like Git, while addressing challenges in memory-constrained systems and SOC-level interactions. This role demands a passion for innovation, strong analytical skills, and the ability to thrive in a fast-paced environment where your contributions will impact millions of users across IoT sectors and high-performance computing applications.

What you'll do

  • Analyze requirements and design robust power-efficient software solutions for chipsets.
  • Optimize existing software to enhance performance, memory usage, and power efficiency.
  • Develop tools for silicon profiling, validation, and debugging across SOC components.
  • Participate in pre-silicon evaluations and sign-offs for new products.
  • Identify opportunities for hardware acceleration by collaborating with the HW team.

What we're looking for

  • 3+ years of experience in computer architecture, preferably ARM.
  • Proficient in C/ASM programming and debugging real-time embedded systems.
  • Experience with version control systems like Perforce/Git and agile development methodologies.
  • Strong background in developing firmware for memory-constrained systems.
  • Knowledge of machine learning techniques applied to large datasets.
  • Ability to read hardware programming guides and write drivers/software accordingly.

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