EVA Systems Engineer

Qualcomm; San Diego (CA); On-site; USD 122,500 - 183,700; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Opportunity for RSU grants

Comprehensive benefits package

Job summary

Qualcomm is seeking a Software Engineer specializing in computer vision systems. This role involves leading architecture decisions for advanced Snapdragon technology applications across multiple domains including mobile phones, autonomous vehicles, and robotics.

The ideal candidate has a strong background in computer vision and video processing, is proficient in Python and C/C++, and is experienced with ML/CV frameworks. A competitive salary ranging from $122,500 to $183,700 is offered, along with bonuses and benefits.

Qualifications

• Strong background in computer vision and video processing algorithms.
• Solid understanding of SoC architecture and hardware/software interfaces.
• Experience with real-time computer vision systems or embedded AI deployment.

Responsibilities

• Lead architecture definition and feature decomposition.
• Profile and optimize algorithm performance on mobile platforms.
• Collaborate with cross-functional teams to commercialize technologies.

Skills

Computer vision algorithms

Video processing

Python

C/C++

Deep learning

ML/CV frameworks

Education

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

Master’s degree in relevant fields

PhD in relevant fields

Tools

PyTorch

TensorFlow

OpenCV

ML/CV frameworks

Job description

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.

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.
• 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.
• 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.

Pay range and Other Compensation & Benefits

$122,500.00 - $183,700.00

We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. Our highly competitive benefits package is designed to support your success at work, at home, and at play.

EEO Employer

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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.