EVA Systems Engineer

Job Title

EVA Systems Engineer

Role Summary

Design and optimize computer vision and video processing algorithms for on-device deployment on mobile and embedded platforms. Own system- and algorithm-level architecture, drive hardware/software requirements, and work with cross-functional teams to move features from research to production.

Experience Level

Mid-level. Minimum experience depends on degree: typically 1–2+ years of relevant engineering experience per the posted minimum qualifications.

Responsibilities

Core responsibilities include:

• Define system- and algorithm-level architecture and decompose features to hardware and software requirements.
• Profile and optimize algorithms and models across memory, compute, power, and bandwidth constraints.
• Collaborate with hardware, software, systems, product teams, and customers to commercialize technologies.
• Produce technical documentation, design specifications, and feature descriptions.
• Contribute in a fast-paced, collaborative environment with distributed teams.
• Provide technical mentorship and influence technical decisions across teams.

Requirements

Must-have skills and experience:

• Strong background in computer vision and video processing algorithms.
• Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces.
• Hands-on experience with modern deep learning architectures and on-device deployment.
• Production-quality coding and optimization experience in Python and C/C++.
• Experience with ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.
• Experience with real-time computer vision systems or embedded AI deployment.
• Experience using performance profiling tools and hardware simulators.

Nice-to-have:

• Familiarity with hardware modeling, FPGA prototyping, or RTL design.
• Prior experience optimizing models specifically for mobile/embedded accelerators.

Education Requirements

Minimum qualifications specify one of the following: Bachelor's degree in Computer or Electrical Engineering, Computer Science, or a related field plus 2+ years of relevant engineering experience; OR Master's degree in those fields plus 1+ year of relevant experience; OR a PhD in Computer or Electrical Engineering, Computer Science, or a related field.

About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.