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XTronica

Chief Technology Officer

Burnaby, BC, Canada

Pay: $100,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Mar 27, 2027
Experience: At least 6 years of technology-management experience with responsibility for multidisciplinary engineering teams.
Posting language: English
Posted: Sep 28, 2026

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Original job description

POSITION OVERVIEW

Reporting directly to the CEO, the CTO will lead the company’s technology strategy, engineering organization, product development, and adoption of engineering automation and applied AI. The role combines executive technology leadership with strong hands-on engineering judgement across software, embedded systems, electronics and hardware/software integration. The CTO will establish the company’s technical architecture and roadmap, maintain a sustainable engineering foundation and technology capability, lead complex international programs, and support demanding customers and manufacturing activities.

KEY RESPONSIBILITIES

Define and maintain the company’s technology architecture, product roadmap and engineering priorities with the CEO; lead technology-selection decisions, establish technical standards, prepare engineering resource and budget plans, and manage approved resources within delegated authority.
Lead and develop the existing engineering organization, including recruitment as required, technical ownership, people development, performance management and resource allocation; maintain a scalable technical foundation and organizational capability to support current products and future growth.
Lead complex software, electronics and embedded-product programs across distributed and cross-functional teams, covering product definition, feasibility, architecture, development, integration, validation, release, manufacturing support and lifecycle maintenance.
Provide technical leadership for embedded and hardware/software co-development, including STM32 and comparable MCUs, FPGA-based systems, ARM/SoC platforms, board-level design and integration, component and peripheral selection, low-level software, device drivers/HAL, system bring-up, debugging and production issue resolution.
Lead sustained technical engagement with Mandarin-speaking customers, manufacturing operations and engineering partners, including requirements analysis, design reviews, tailored solution development, factory and system integration, project coordination, technical escalation and major issue resolution.
Lead engineering automation and applied-AI initiatives that improve development efficiency, quality and product value, including evaluation and integration of modern AI/agent technologies with appropriate validation, security, reliability controls and human oversight.
Establish project-management, development-process, quality-control and technical-risk practices appropriate for complex commercial products; monitor delivery commitments and report progress, significant risks, resource requirements and technology investment needs to the CEO.
Participate in international customer, partner, factory and project-site activities as required, including technical assessment, integration, project delivery and support.

REQUIRED QUALIFICATIONS

A master’s degree in Electrical or Electronic Engineering, Computer Engineering, Computer Science, Automation, Artificial Intelligence, or a closely related engineering or technical discipline.
At least 15 years of technology and product-development experience in software, embedded systems, semiconductors, intelligent systems, industrial technology, automotive electronics, mobile platforms or related fields, including substantial responsibility in large-scale, cross-functional and internationally distributed R&D environments.
At least 6 years of technology-management experience with responsibility for multidisciplinary engineering teams. Demonstrated experience building or substantially scaling an engineering organization and establishing effective technical ownership, people-development, accountability and resource-management mechanisms.
A sustained record of leading large and technically complex programs across countries, time zones and engineering disciplines, with responsibility for architecture, delivery, quality and technical risk.
Strong embedded and systems-engineering background, including Linux, processor/SoC/MCU platforms, hardware/software integration, low-level interfaces, device drivers/HAL and system debugging; ability to lead architecture reviews and make sound trade-offs across performance, reliability, cost and maintainability.
Experience delivering and supporting demanding international customer programs, translating complex requirements into practical and customized technical solutions, and leading major technical issue resolution; strong understanding of mature project-management, development-process, quality-control and release practices.
Practical experience applying modern AI-assisted development and/or agent technologies to real engineering or product-development workflows, including integration, validation, effectiveness assessment and appropriate human oversight.
Advanced professional English sufficient to independently lead international technical and business meetings, architecture and solution discussions, customer coordination and professional documentation; approximately CEFR C1 level or equivalent.
Professional working proficiency in Mandarin sufficient to independently conduct technical requirements discussions, design reviews, project coordination, factory/system integration, technical escalation and complex issue resolution with Mandarin-speaking customers, manufacturing operations and engineering partners.

PREFERRED QUALIFICATIONS

Interdisciplinary expertise combining electrical/electronic engineering with intelligent systems, automation, computing or AI.
Broad hands-on embedded/software experience involving ARM platforms, STM32 or comparable MCUs, FPGA-based systems, board/peripheral integration, JTAG/SWD, TRACE32 or comparable professional embedded-debug environments, together with experience integrating and maintaining open-source or third-party software in commercial products.
Experience in automotive electronics, mobile computing, semiconductor platforms, industrial/manufacturing systems or marine-related technologies; multimedia, audio/video, DSP or graphics expertise is an advantage.
Advanced AI engineering experience involving coding agents, engineering toolchain/workflow integration, reliability and security controls, performance optimization and organization-wide adoption.
Engineering-management experience in a large international technology company, with exposure to mature global project-management, quality-control and customer-delivery practices.

HOW TO APPLY

Submit your résumé to： jessicaqu@xtronica.net

Apply About employer

More about this job

Responsibilities

Set the company’s technology architecture, product roadmap, engineering priorities, and applied-AI initiatives while leading and developing the engineering organization. Direct complex international software, embedded, electronics, and hardware/software programs from definition through manufacturing and lifecycle support, including customer and factory engagement.

Requirements

Requires a master’s degree in a relevant engineering or technical discipline, at least 15 years of technology and product-development experience, and at least 6 years managing multidisciplinary engineering teams. Candidates must have strong embedded and systems-engineering expertise, a record of leading complex international programs, practical experience with AI-assisted engineering, advanced professional English, and professional working proficiency in Mandarin.

Skills

Technology Strategy
Engineering Leadership
Embedded Systems
Systems Engineering
Hardware/Software Integration
Linux
ARM Platforms
STM32
FPGA Systems
Device Drivers and HAL
System Debugging
Applied AI
Engineering Automation
Project Management
Technical Risk Management
Mandarin

Visa sponsorship

Not detected in the job text

Hiring contact

Jessica Qu

Hiring contact email

jessicaqu@xtronica.net

Keywords

Technology Architecture
Product Roadmap
Engineering Organization
Embedded Systems
Linux
STM32
Microcontrollers
FPGA
ARM
System-on-Chip
Board-Level Design
Device Drivers
Hardware/Software Integration
JTAG
SWD
TRACE32
Applied AI
Coding Agents
Engineering Automation
Artificial Intelligence
System Debugging
Manufacturing Support
Project Management
Quality Control
Technical Risk Management
International Customer Programs
Automotive Electronics
Semiconductors
Industrial Technology
Mandarin

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