Embedded Software Engineer

Join the forefront of innovation at Zebra Technologies' Machine Vision division. We are a team dedicated to creating intelligent 'eyes' for industrial automation. Our smart cameras and machine vision systems empower manufacturing and logistics lines to operate with greater speed, accuracy, and efficiency. We are passionate about pushing the boundaries of what's possible, integrating cutting-edge technology, including advanced AI, into our embedded platforms.

The RoleWe are seeking an outcome-oriented and experienced Embedded Software Engineer to join our dynamic team. In this role, you will be a key contributor to the development of our next-generation smart cameras. You will work deep within the Linux-based platform, designing, and implementing robust, high-performance software that powers our core machine vision capabilities. This is an opportunity for a creative problem-solver who is eager to work in an environment that heavily encourages the use of Agentic AI and other modern development paradigms to accelerate innovation.

Responsibilities

Design, develop, and maintain embedded software for our smart camera products using C and C++.

Work on the Linux kernel, device drivers, and system-level services to ensure optimal performance and stability.

Collaborate with hardware and algorithm teams to integrate new sensors and cutting-edge machine vision features.

Optimize system performance, including boot time, power consumption, and data throughput.

Champion best practices in software development, including code reviews, testing, and documentation.

Explore and implement solutions leveraging AI to enhance development workflows and product capabilities.

Required Qualifications

Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field.

A minimum of 2 years of professional experience in embedded software development.

Strong proficiency in C and C++ for embedded systems.

Deep experience with embedded Linux, including kernel and driver development.

Proven track record of delivering complex software projects from concept to production.

An outcome-oriented mindset with a focus on delivering high-quality, impactful results.

Preferred Qualifications (Nice-to-Have)

Experience with Android system-level development (AOSP).

Familiarity with the Yocto Project for building custom Linux distributions.

Experience with Agentic AI or other advanced AI-powered development tools.

Experience with Neural Processing Units (NPUs) or other hardware accelerators for AI.

Knowledge of computer vision, image processing, or camera pipelines.

We are open to considering extraordinary candidates who do not meet the years of experience requirement but demonstrate exceptional talent and a passion for this field.