Staff Computer Vision Engineer - On-Device AI & Video

Nutanix; San Diego (CA); On-site; USD 148,000 - 223,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a staff-level engineer to own technical direction across video and computer vision projects, from research to production deployment.

You will lead architecture studies and collaborate with hardware, software, and product teams to deliver advanced video analytics on mobile and embedded platforms. Applicants should have strong CV and video processing background, plus experience with Python/C++, ML frameworks, and potential RTL/FPGA in some roles.

Qualifications

• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software/Hardware/Systems experience.
• Strong background in computer vision and video processing algorithms.
• Experience with Python and C/C++ for production-grade development and ML frameworks such as PyTorch, TensorFlow, ONNX, OpenCV.

Responsibilities

• Research, design, and implement critical video processing and CV algorithms from concept to production deployment.
• Lead system- and algorithm-level architecture to drive hardware and software requirements.
• Collaborate with cross-functional teams to commercialize technologies and deliver visual analytics experiences.
• Write technical design specs and guide internal/external teams.

Skills

Computer vision

Video processing

Python

C/C++

PyTorch

TensorFlow

ONNX

OpenCV

Performance profiling

Education

Bachelor's degree in Computer/Electrical Engineering or CS

Tools

FPGA prototyping

RTL design

Job description

Qualcomm Technologies, Inc. seeks a staff-level engineer to own technical direction across video and computer vision projects, from research to production deployment.

You will lead architecture studies and collaborate with hardware, software, and product teams to deliver advanced video analytics on mobile and embedded platforms. Applicants should have strong CV and video processing background, plus experience with Python/C++, ML frameworks, and potential RTL/FPGA in some roles.