Embedded Vision Systems Engineer – On-Device AI & Video

QUALCOMM, Inc.; San Diego (CA); Vor Ort; USD 130.000 - 194.000; Vollzeit

Zusammenfassung

Qualcomm Technologies, Inc. in San Diego seeks an EVA Systems Engineer to advance computer vision and video processing on Snapdragon platforms. You will own system- and algorithm-level architecture and drive hardware/software co-optimization for on-device AI.

You'll collaborate with hardware, software, and product teams, mentor engineers, and contribute to production deployment while shaping the future of video and computer vision across Qualcomm's devices.

Qualifikationen

• Bachelor’s/Master’s/PhD in a related field with engineering experience.
• Strong background in computer vision and video processing.
• Experience with real-time CV systems and embedded AI deployment.

Aufgaben

• Define system and algorithm architecture to drive hardware/software requirements.
• Profile and optimize algorithm performance across memory, compute, power, and bandwidth.
• Collaborate with hardware, software, systems, and product teams to commercialize technologies.
• Write technical documentation, design specs, and feature descriptions.
• Contribute in a fast-paced, cross-functional environment.
• Provide mentorship and influence engineering decisions.

Kenntnisse

Computer vision

Video processing

Python

C/C++

Deep learning

ML frameworks

Cross-functional collaboration

Real-time vision systems

Profiling tools

Ausbildung

Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field

Master's degree in Computer or Electrical Engineering, Computer Science, or related field

PhD in Computer or Electrical Engineering, Computer Science, or related field

Tools

PyTorch

TensorFlow

ONNX

OpenCV

FPGA prototyping

RTL Design

Jobbeschreibung

Qualcomm Technologies, Inc. in San Diego seeks an EVA Systems Engineer to advance computer vision and video processing on Snapdragon platforms. You will own system- and algorithm-level architecture and drive hardware/software co-optimization for on-device AI.

You'll collaborate with hardware, software, and product teams, mentor engineers, and contribute to production deployment while shaping the future of video and computer vision across Qualcomm's devices.