Edge AI Computer Vision Engineer

QUALCOMM, Inc.; San Diego (CA); On-site; USD 130,000 - 194,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a machine learning R&D engineer to advance AI-accelerated computer vision on the edge.

You will join a multidisciplinary team to develop new algorithms, optimize models for heterogeneous SoCs, and enable on-device deployment across mobile, automotive, XR, and IoT platforms. The role involves researching depth estimation, optical flow, video super-resolution, and SLAM, while coordinating with hardware and software teams to meet customer requirements and

Qualifications

• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field; 2+ years of software/hardware/systems experience.
• Master's degree in Computer or Electrical Engineering, Computer Science, or related field; 1+ year of experience.
• PhD in related field is also acceptable.

Responsibilities

• Research, design and implement video processing and computer vision algorithms.
• Develop optimized model architectures for edge deployment.
• Profile and optimize performance under memory, compute and power constraints.
• Collaborate with hardware, software, systems and product teams.

Skills

Machine Learning

Computer Vision

Python

C/C++

ML Frameworks

Education

Bachelor's degree in CS/EE

Master's degree in CS/EE

Tools

PyTorch

TensorFlow

ONNX

OpenCV

Job description

Qualcomm Technologies, Inc. is seeking a machine learning R&D engineer to advance AI-accelerated computer vision on the edge.

You will join a multidisciplinary team to develop new algorithms, optimize models for heterogeneous SoCs, and enable on-device deployment across mobile, automotive, XR, and IoT platforms. The role involves researching depth estimation, optical flow, video super-resolution, and SLAM, while coordinating with hardware and software teams to meet customer requirements and