Senior Engineer, Machine Learning Engineering (ML Apps)

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$140,800–$211,200 / yr
Posted
44 days ago
Freshness
Confirmed live yesterday
Closes
Jan 25, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $176k
$124k most similar roles pay here $294k

This role pays less than 76% of similar roles. Most pay $179,425–$254,750 — the shaded band above. At the midpoint, this role pays about $176k versus about $217k for comparable roles.

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 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Senior Engineer, Machine Learning Engineering (ML Apps)

Sr Engineer, Machine Learning Engineering (ML Apps) joins the Machine Learning Engineering team within a dynamic research environment to advance Generative AI Technology for the Edge. This role involves collaborating with a multi-disciplinary team of researchers and software engineers to architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The position focuses on solving challenges in model fine-tuning, hardware acceleration, model quantization, and edge inference. Candidates must possess expert-level proficiency in C++ and Python, along with a strong foundation in software design and optimization. Required skills include experience with PyTorch, low-level system debugging, performance tuning, memory analysis, and embedded software development. Preferred qualifications include Android development using Java, JNI, NDK, and native framework integration, as well as knowledge of NPUs, ML accelerators, and modern Generative AI architectures like LLMs and VLMs.

What you'll do

  • Architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
  • Develop and optimize high-performance code using C++ and Python.
  • Perform low-level system debugging, performance tuning, and memory analysis.
  • Develop and debug native inference drivers for mobile and edge devices.
  • Implement neural network model optimization and on-target deployment techniques.
  • Integrate Generative AI technologies including LLMs and VLMs into inference pipelines.
  • Develop embedded software solutions for smartphones, laptops, and IoT devices.
  • Utilize ML frameworks like PyTorch to build and deploy intelligent solutions.

What we're looking for

  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 2+ years of relevant experience.
  • A Master's degree in Computer Science, Engineering, Information Systems, or a related field with 1+ year of relevant experience.
  • A PhD in Computer Science, Engineering, Information Systems, or a related field.
  • Expert-level proficiency in C++ and Python with a strong foundation in software design, development, and optimization.
  • Experience in embedded software development and low-level system debugging, performance tuning, and memory analysis.
  • Knowledge of deep learning and ML frameworks such as PyTorch.
  • Experience in Android development including Java, JNI, NDK, and native framework integration.
  • Knowledge of Generative AI technologies, neural network model optimization, and NPUs or ML accelerators.

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