Principal Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$200,800–$301,200 / yr
Posted
136 days ago
Freshness
Confirmed live yesterday
Closes
Oct 25, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $251k
$124k most similar roles pay here $320k

This role pays more than 90% of similar roles. Most pay $174,600–$215,850 — the shaded band above. At the midpoint, this role pays about $251k versus about $195k 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.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Principal Engineer

As a Principal Engineer on the Computer Vision Systems team, you will develop advanced computer vision algorithms for mobile phones, autonomous vehicles, IoT, robotics, and AR/VR platforms. You will take end-to-end ownership of the lifecycle by researching trends, designing models, building training pipelines, and optimizing neural network methodologies for real-time, on-device performance. Your work involves solving complex problems in optical flow, depth estimation, visual tracking, multi-view geometry, visual odometry, SLAM, and 3D scene reconstruction. You will utilize tools and languages including Python, C++, R, TensorFlow, PyTorch, Keras, and Caffe/Caffe2. Additionally, you will leverage expertise in quantization, pruning, and heterogeneous compute across CPU, GPU, DSP, and NPU architectures to ensure efficient execution on Snapdragon platforms while influencing silicon design and system-level architecture through technical leadership and cross-functional collaboration.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 companies.

See salary data

What you'll do

  • Research and develop computer vision models for applications like optical flow, depth estimation, and SLAM.
  • Train and optimize state-of-the-art neural networks while building training pipelines and evaluation benchmarks.
  • Deploy machine learning models on Snapdragon platforms to ensure real-time, on-device performance.
  • Analyze bottlenecks in AI workloads across Qualcomm hardware and software stacks using simulation and characterization.
  • Lead the technical direction of projects from initial research through production deployment.
  • Serve as a technical lead for teams developing and prototyping ML solutions for complex products.
  • Partner with hardware engineers to influence silicon design based on machine learning architecture expertise.

What we're looking for

  • Bachelor's degree with 8+ years of experience, Master's with 7+ years, or PhD with 6+ years in a relevant engineering or science field.
  • Over 10 years of experience in AI/ML algorithm development and commercialization specifically focused on computer vision.
  • 5+ years of experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or Caffe.
  • 5+ years of experience with low-level interactions between operating systems (Linux, Android, QNX) and hardware.
  • 5+ years of experience in embedded system development and optimization for domains like computer vision or perception.
  • 5+ years of experience using programming languages such as Python, C++, or R for machine learning applications.
  • 5+ years of experience applying statistics and probability principles to technical problems.
  • Expertise in on-device ML deployment including quantization, pruning, distillation, and heterogeneous compute (CPU/GPU/DSP/NPU).

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