EVA Systems Engineer

##
Company:

Qualcomm Technologies, Inc.

## Job Area:

Engineering Group, Engineering Group Video Systems, HW Architecture

General

Summary:

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon‑powered devices, from next‑generation mobile phones to autonomous vehicles, IoT, robotics, and immersive AR/VR platforms. The group's work spans computer vision, image and video algorithm development, mapping these algorithms to computer vision and neural‑processing accelerator architectures, and efficient on‑device implementation.

We are seeking a multidisciplinary engineer with expertise in computer vision and image/video processing algorithms, combined with strong hardware/software co‑optimization experience. This role is ideal for someone who thrives at the intersection of cutting‑edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real‑world problems.

You will own technical direction across projects, influence system‑level architecture, and drive solutions from research through production deployment. You will work on ideas that enhance everyday life-creating lasting video memories and playback experiences, and enabling innovative devices through advanced video and computer vision technologies. You will have significant opportunities to grow, lead, and shape the future of video and computer vision at scale.

Minimum Qualifications:

* Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer or Electrical Engineering, Computer Science, or related field.

Key Responsibilities

* Lead system‑ and algorithm‑level architecture definition, standard studies, and feature decomposition to drive hardware and software requirements and specifications.

* Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms.

* Collaborate closely with cross‑functional teams (hardware, software, systems, and product) and with customers to commercialize technologies and deliver best‑in‑class visual analytics experiences.

* Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners.

* Contribute effectively in a fast‑paced, highly collaborative environment with globally distributed, cross‑functional teams.

* Provide technical mentorship and guidance to engineers across experience levels and influence technical decisions beyond the immediate team.

Qualifications

* 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.

* Strong coding skills in Python and C/C++ for production‑quality development, optimization, and on‑device deployment, with experience using ML/CV frameworks such as PyTorch, Tensor Flow, ONNX, and OpenCV.

* Familiarity with hardware modeling, FPGA prototyping, or RTL design is a plus.

* Strong ability to work across algorithm, software, and hardware boundaries.

* Experience with real‑time computer vision systems or embedded AI deployment.

* Experience using performance profiling tools and hardware simulators.

Level of Responsibility

* Works independently with minimal supervision.

* Provides technical leadership, supervision, and guidance to other team members.

* Decision‑making impacts work beyond the immediate work group.

* Requires strong verbal and written communication skills; may require negotiation, influence, and tact.

* Has significant technical influence over key product, architecture, and organizational decisions.

* Tasks require multi‑step planning, prioritization, and problem‑solving, with flexibility in…