Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 56 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
Join our dynamic team as an AI Performance System Software Engineer at Snapdragon, where you will focus on enhancing the performance and power efficiency of machine learning solutions. You will collaborate with development leads to ensure that the Snapdragon AI platform delivers industry-leading benchmarks through automated app development workflows. Your daily tasks include analyzing ML/AI algorithms, developing comprehensive benchmark tests, tuning algorithms for optimal hardware utilization, and contributing to future SoC designs. Ideal candidates possess expertise in domains like Computer Vision or Audio, along with experience in optimizing performance on GPUs, NPUs, and CPUs. Proficiency in C++, Python, TensorFlow, PyTorch, and ONNX is essential, as well as a strong background in computer architecture and software engineering principles.
Skills
What you'll do
- Analyze trends in ML network design to inform SW and HW stack improvements.
- Evaluate ML/AI algorithms on Qualcomm hardware through simulation and characterization.
- Develop comprehensive benchmark tests for Windows on Snapdragon using specialized tools.
- Optimize AI workloads by tuning algorithms with compilers, kernels, and HW features.
- Contribute to system designs of future SoCs to reduce performance bottlenecks in workflows.
What we're looking for
- Experience in optimizing AI performance on GPU, NPU, and CPU.
- Knowledge of state-of-the-art AI models for domains like Computer Vision, Audio, and Generative AI.
- Proficiency in C, C++, and Python programming languages.
- Ability to develop and implement improvements in SDKs, tools, and documentation.
- Strong software engineering principles and experience with ML frameworks (TensorFlow, PyTorch).
- Experience in algorithm development and performance analysis using profiling tools.
- Masters or PhD in Computer Science or Electrical Engineering preferred.
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