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Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Posted: 91 days ago
Closes: Sep 14, 2026
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $178k

$127k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $142,400–$214,587.

Based on 240 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 742 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 421 roles with salary data.

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At a glance

TL;DR · Careers

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Join Qualcomm’s Thermal and Limits Management Systems Software team as a Senior Software Engineer to tackle cutting-edge technical challenges in optimizing the thermal performance of next-generation compute products running Windows on Snapdragon chipsets. You will work closely with system engineers, software developers, and hardware experts to analyze complex use cases across various SoC technologies and develop innovative solutions to enhance product performance under power and thermal constraints. Your daily tasks include developing algorithms and techniques for power consumption optimization, performing system-level software optimizations using advanced power/thermal management methods, and applying machine learning techniques to solve intricate system-level issues. Ideal candidates have experience with Windows products and a strong background in power, thermal, and performance analysis at the product level. Familiarity with CPU/GPU/AI benchmarks, productivity use cases, streaming scenarios, gaming, media streaming, and high-throughput modem use cases is essential.

Skills

C++ Python Windows Linux CUDA OpenCL PowerShell Machine Learning AI CPU GPU Thermal Management Performance Optimization System Level Analysis Hardware Profiling Software Development Kits Debugging Tools Version Control Systems CI/CD

What you'll do

Develop algorithms to optimize power consumption and thermal performance for compute use cases.
Perform system-level software optimizations using hardware and software techniques.
Analyze complex system-level use cases spanning various SoC technologies.
Contribute to solving system-level power and thermal problems with machine learning.
Work on Windows products to improve performance under power and thermal constraints.

What we're looking for

Extensive experience in optimizing power consumption and thermal performance.
Proficient in developing algorithms for software optimizations at the system level.
Expertise in using hardware and software techniques for power/thermal management.
Experience with Windows products and power/thermal/performance analysis required.
Knowledge of CPU/GPU/AI benchmarks, productivity use cases, streaming scenarios.
Familiarity with gaming, media streaming, and high-throughput modem use cases needed.
Ability to apply advanced machine learning techniques to solve system-level problems.

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