Video Research Engineer (Multiple Levels)

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA · Taiwan, Taiwan
Salary
$179,000–$268,400 / yr
Posted
66 days ago
Closes
Sep 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $224k
$143k most similar roles pay here $282k

This role pays more than 64% of similar roles. Most pay $167,187–$246,706 — the shaded band above. At the midpoint, this role pays about $224k versus about $207k 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 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Video Research Engineer (Multiple Levels)

Apply Now Log in to save

Qualcomm Technologies is hiring Video Compression Research Engineers to join its Multimedia R&D and Standards Group, a team of world-renowned video compression experts. As a senior member, you will develop advanced algorithms for improving video compression efficiency using classical and machine learning methods, contribute to AI-based tools research, and represent Qualcomm in standardization forums like JVET, MPEG Video, and ITU-T/VCEG. Ideal candidates have expertise in video coding standards such as HEVC and VVC, experience with deep learning frameworks like PyTorch or TensorFlow, and strong programming skills in C/C++. They should also possess a track record of research accomplishments through publications and patents, excellent communication skills, and the ability to work collaboratively in a high-impact environment.

Skills

C C++ PyTorch TensorFlow HEVC VVC CNN RNN Autoencoders Video Compression Image Coding Machine Learning Computer Vision Deep Learning MATLAB

What you'll do

  • Develop advanced algorithms to enhance video compression efficiency.
  • Research and implement AI-based tools for video compression.
  • Present new algorithms and implementations in standardization forums.
  • Document technical contributions through standards, patents, and publications.
  • Collaborate on state-of-the-art applications of machine learning in video processing.
  • Optimize hardware architectures for efficient video compression systems.

What we're looking for

  • Expert knowledge in video and image coding theories, including HEVC and VVC standards.
  • Experience with deep learning architectures like CNN, RNN, and autoencoders.
  • Track record of research accomplishments through published papers or patents.
  • Proficient programming skills in C/C++ and familiarity with machine learning frameworks.
  • Strong communication skills for presenting algorithms and implementations effectively.
  • Master’s or PhD degree in relevant fields such as Electrical Engineering or Computer Science.
  • 4+ years of experience in Software, Hardware, or Systems Engineering.

Related searches

More Video Research Engineer jobs Video Research Engineer jobs in San Diego All jobs at Qualcomm

More like this

Similar roles

Video DE Engineer

Qualcomm

Santa Clara, CA 53 days ago $167,000–$250,600
C C++ Python Computer Vision Video Codec Hardware Design Schematic Capture Embedded Systems Docker Git CI/CD Linux Terraform AWS Kubernetes PostgreSQL Prometheus Grafana
Save

Video Design Verification Engineer

Qualcomm

San Diego, CA 46 days ago $99,400–$149,200
C C++ Python Computer Architecture Embedded Systems Video Codec Computer Vision HW and FW Development KPI Analysis System Performance Metrics Problem Triaging Customer Requirements Analysis Technical Documentation Feature Description Writing
Save

Machine Learning Video Research Engineer

Apple Inc

Cupertino, CA 4 days ago $147,400–$272,100
PyTorch TensorFlow CUDA Python Deep Learning Computer Vision Machine Learning Generative Modeling Optical Flow Perceptual Quality ML for Video Compression CI/CD
Save

Machine Learning Engineer, Video Engineering

Apple Inc

Sunnyvale, CA 7 days ago $181,100–$318,400
Python PyTorch Diffusion models 3D computer vision C++ Distributed training On-device ML deployment Video diffusion models Neural radiance fields Differentiable rendering CI/CD
Save