As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.

Company: Qualcomm Technologies, Inc.

Role: Staff Software Engineer

Location: Santa Clara, California, United States of America +3 more

Experience:

4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience with Bachelor's degree
3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience with Master's degree
2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience with PhD

Key Skills:

C++
Python
PyTorch
ONNX Runtime
TensorRT
TVM
OpenVINO
Qualcomm’s AI toolchain
SNPE
QNN
FFmpeg
GStreamer
video codec
streaming technologies

Qualification:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
Master's degree in Computer Science, Engineering, Information Systems, or related field
PhD in Computer Science, Engineering, Information Systems, or related field

Role Focus:

Lead the design, development, and optimization of edge AI systems for real-time video analytics
Develop and integrate advanced computer vision and video analytics algorithms
Design and optimize real-time video processing pipelines
Apply and evaluate machine learning techniques under real-world constraints
Prototype, validate, and productionize novel ML solutions
Lead experimental design, model training, benchmarking, and validation
Provide technical leadership across the organization

Nice to have:

Master’s degree or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field with specialization in edge AI, computer vision, or embedded ML
5+ years of experience with performance‑critical programming in C++, Python, including hardware‑aware optimization
5+ years of experience with modern ML framework
3+ years of experience developing real‑time edge AI systems
Strong background in applied statistics, probabilistic modeling, and evaluation of ML systems
Experience with computer vision and intelligent video analytics
Experience working in large cross‑functional organizations
Experience leading technical initiatives, mentoring engineers, or driving architectural decisions

Other:

Qualcomm is an equal opportunity employer
Commitment to providing an accessible process for individuals with disabilities
EEO Employer

Staff Software Engineer

Skills Required

Description