SW Engineer Advanced

Zebra Technologies•Mississauga, ON

2d•Hybrid

About The Position

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally. Come make an impact every day at Zebra. We are seeking an Advanced Software Engineer to spearhead our on-device AI initiatives for wearables. In this pivotal role, you will help define the unified SW vision and roadmap for our AI platform, ensuring long-term scalability from the kernel to the application layer. You will be tasked with optimizing complex AI models for peak performance while managing the tradeoffs and balance of performance, power, thermal efficiency, and battery life. This position requires a combination of deep knowledge low-level Android kernel (BSP), an basic understanding AI application development skills, and deep expertise in RTOS/embedded systems. By solving critical challenges in on device AI you will also be a mentor to the wider engineering teams, enabling us to deliver the responsive, secure, and intelligent experiences that define modern wearables. This role is a hybrid position and requires a minimum of three days per week in our Mississauga, ON office. Zebra reserves the right to modify your work location based on business need.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related engineering discipline with 8+ years of relevant work experience with Bachelors degree or 5+ years of relevant experience with a Master’s degree.
Experience in low-level systems, including Android kernel (BSP) development and Real-Time Operating Systems (RTOS).
Experience development for embedded software
Experience in integrating Computer Vision (CV) and Artificial Intelligence (AI) capabilities for on-device AI.

Nice To Haves

Experience in developing and deploying AI/ML models on-device, particularly for resource-constrained environments like wearables.
Hands-on experience with embedded systems, including sensor fusion (e.g., cameras, scanners, voice).
Demonstrated experience leading the complete lifecycle of machine learning models, from initial data ingestion and model training to final deployment and performance optimization on target hardware.
Advanced proficiency in multiple programming languages and software architecture.
Deep understanding of software design patterns, system-level programming, performance optimization techniques, and adopting GenAI in Software Development Lifecycle.
Proven ability to lead technical projects and provide mentorship to junior engineers.
Strong analytical and problem-solving skills, with experience tackling highly complex technical challenges.
Familiarity with competitor products and industry trends to inform strategic design decisions.
Exceptional communication skills, with the ability to influence stakeholders and collaborate across organizational boundaries.
Experience developing innovative solutions and technologies to meet evolving business and customer needs.
Strong knowledge of intellectual property protection and competitive analysis.

Responsibilities

Establishes requirements for highly complex software design projects and provides leadership in defining project scope and objectives.
Architects and designs software for highly complex systems, ensuring alignment with organizational goals and technical standards.
Leads and participates in all phases of software development projects, including in-process and final inspections to maintain quality.
Conducts and oversees code reviews, implementing technical and quality improvements to ensure robust solutions.
Develops innovative programs, technologies, and solutions, documenting methodologies for broader team use.
Provides technical leadership across multiple engineering disciplines, leveraging expertise to influence program direction and outcomes.
Designs and develops advanced tools to aid in solving complex technical challenges and improving team efficiency.
Fosters cross-company collaboration and builds strong relationships with other engineering disciplines to drive innovation and project success.
Exercises considerable judgment within broadly defined policies and practices to deliver effective solutions.
Networks with key internal and external stakeholders, including senior management and customers, to coordinate efforts and achieve project goals.
Represents the organization as a technical expert and principal customer contact on critical projects.