Sr Engineer, Machine Learning (On-device Learning SW)
Qualcomm
At a glance
AI generatedAs a Senior AI Engineer at Qualcomm Technologies, Inc., you will join the dynamic and multi-disciplinary team within Qualcomm AI Research to advance generative AI technology for edge devices. Your responsibilities include architecting, designing, developing, testing, and deploying frameworks that enable optimization of on- and off-device AI solutions. You will leverage modern software engineering practices such as code review, CI/CD pipelines, and automation to ensure high-quality software delivery. Essential skills include a strong theoretical background in AI, hands-on experience with PyTorch and C++, expertise in ML accelerator architecture (GPU/NPU), and proficiency in Python for building LLM stacks. Additionally, you should have Linux command line skills, analytical abilities, and the capacity to collaborate effectively across multi-disciplinary teams globally. Preferred qualifications include experience with OpenCL, model quantization, profiling, SDK development, Docker, Git, and working on heterogenous platforms like CPU, GPU, and NSP.
Skills
What you'll do
What we're looking for
Market check
This $140,800–$211,200 range sits above 25% of similar postings on FindRole.
Peer median band
$161,800–$242,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$176,721–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 567 open roles on FindRole.
Listed pay typically runs $148,300–$226,100 across 534 roles with salary data.
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