EVA Systems Engineer

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

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Computer vision

Video processing

Python

C/C++

Deep learning

ML frameworks

Cross-functional collaboration

Real-time vision systems

Profiling tools

Education

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

Job description

EVA Systems Engineer San Diego, California, United States of America

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, TensorFlow, 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 execution order to achieve objectives efficiently.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability‑[e-mail] or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

EEO Employer

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay range and Other Compensation & Benefits

$129,500.00 - $194,300.00

• Competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus).
• Highly competitive benefits package is designed to support your success at work, at home, and at play.

If you would like more information about this role, please contact Qualcomm Careers.