Computer Vision Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$148,300–$222,500 / yr
Posted
44 days ago
Freshness
Confirmed live yesterday
Closes
Jan 25, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $185k
$135k most similar roles pay here $272k

This role pays less than 62% of similar roles. Most pay $162,000–$237,562 — the shaded band above. At the midpoint, this role pays about $185k versus about $200k 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 · Computer Vision Engineer

As a Staff-level Computer Vision Engineer on the Video Systems team, you will drive technical direction for advanced video processing and computer vision algorithms from research through production deployment. You will be responsible for designing system architectures, defining hardware requirements, and optimizing algorithm performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms. The role involves developing real-time pipelines, quality enhancement features, and visual analytics experiences. To succeed, you must possess expertise in deep learning architectures, SoC architecture, and hardware/software co-optimization. Required technical skills include proficiency in Python and C/C++ for production-quality development, alongside experience with frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. You will solve complex problems involving the integration of computer vision into mobile devices, autonomous vehicles, IoT, robotics, and immersive AR/VR platforms.

What you'll do

  • Research, design, and implement critical video processing and computer vision algorithms from concept through production deployment.
  • Define system and algorithm-level architectures to drive hardware and software requirements and specifications.
  • Profile and optimize algorithm performance across memory, compute, power, and bandwidth constraints on mobile platforms.
  • Develop high-quality code in Python and C/C++ for production-ready deployment using ML and CV frameworks.
  • Create technical documentation, design specifications, and feature descriptions to guide internal teams and external partners.
  • Provide technical mentorship and guidance to engineers across various experience levels.
  • Influence technical decisions and system architecture beyond the immediate team to drive product goals.

What we're looking for

  • Bachelor's degree with 4+ years of experience, Master's with 3+ years, or PhD with 2+ years in engineering or related fields.
  • Strong background in computer vision and video processing algorithms.
  • Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces.
  • Hands-on experience with modern deep learning architectures and real-time embedded AI deployment.
  • Proficiency in Python and C/C++ using frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.
  • Experience in system design, integration, and hardware/software optimization for mobile and embedded platforms.
  • Ability to perform performance profiling across memory, compute, power, and bandwidth constraints.
  • Proven experience in technical leadership, including mentoring others and influencing cross-functional team decisions.

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