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You will be updated with latest job alerts via emailCHEP helps move more goods to more people in more places than any other organization on earth via our 347 million pallets crates and containers. We employ approximately 13000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model the worlds biggest brands trust us to help them transport their goods more efficiently safely and with less environmental impact.
What does that mean for you Youll join an international organization big enough to take you anywhere and small enough to get you there sooner. Youll help change how goods get to market and contribute to global sustainability. Youll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through ourHybrid Work Model.
Key Responsibilities May Include:
Position Purpose
CHEP has implemented advanced systems for automated quality inspection of its products with this technology fully deployed and operational worldwide.
Design and develop robust software architectures for Windows-based applications in industrial environments focusing on automated inspection systems with computer vision and machine learning technologies to ensure high performance and reliability.
Leverage deep expertise in Windows operating systems and multithreaded software architecture to drive innovative cutting-edge solutions that enhance automated inspection capabilities.
Integrate electronic devices such as machine vision cameras and other devices into software applications using relevant APIs to enable advanced automation and real-time data processing in industrial settings.
Develop and implement communication protocols with production lines to facilitate seamless interaction control and data exchange within manufacturing environments.
Collaborate on the development of non-vision-related components for machine vision applications partnering with team members responsible for computer vision algorithms to deliver advanced system integration solutions for industrial automation.
Implement and maintain CI/CD pipelines to streamline deployment processes ensuring efficient and reliable delivery of applications in alignment with modern DevOps practices.
Major/Key Accountabilities
Architect and develop robust scalable software modules for Windows-based applications in industrial environments.
Optimize software performance through efficient multithreaded programming in C.
Evaluate and implement integration strategies for electronic devices.
Assess and establish optimal communication protocols with production lines.
Provide ongoing support for production systems diagnosing and resolving bugs to ensure operational stability and minimize downtime in critical industrial applications.
Design implement and maintain CI/CD pipelines adhering to modern DevOps practices.
Support the development team by promoting best practices in C code quality providing technical guidance and solutions to ensure maintainable efficient and robust software solutions.
Measures
Delivery of Machine Vision and/or Machine Learning projects based on strategy and business need.
Scope
Global to all CHEP Pallet business units
Challenges
Exploring cutting-edge approaches and novel solutions to enhance software architecture design performance and integration with advanced technologies in industrial environments.
Qualifications
Masters degree in Computer Science or Engineering.
Expertise in advanced C 11/14/17 programming and C Standard Template Library (STL).
Proficiency in Python.
Working knowledge of SQL.
Familiarity with CI/CD platforms such as Jenkins or Bitbucket Pipelines.
Strong communication skills in English (B2 level or higher).
Experience
Solid track record of 3 years in C software development preferably in high-performance or complex systems.
Proven experience with multithreading application development.
Familiarity with developing software under strict response time requirements (real-time systems communications software data acquisition software etc.).
Experience in multi-facility international organizations desired.
Experience in a diverse multi-cultural corporate environment desired.
Successful delivery of machine learning applications to internal or external customers.
Skills and Knowledge
Mandatory:
Very strong C programming capabilities.
Python programming capabilities.
Skilled in navigating large complex codebases with the ability to design and implement solutions for new requirements that seamlessly integrate with existing software architectures.
Self-driven and strong problem-solving skills.
Strong analytical skills and process focus.
Good communication skills.
Collaborative team player.
Desirable:
Development of C applications for the Microsoft Win32 desktop platform.
Hands-on experience developing in C using Microsoft Visual Studio environment.
Experience integrating hardware devices (cameras data acquisition systems etc.) using C APIs.
Design and implementation of communication protocols.
Familiarity with technologies that enable communications between Win32 applications and Rockwell PLCs such as OPC DA and OPC UA.
Experience in optimizing machine learning model execution on GPUs leveraging tools such as CUDA or other frameworks.
Knowledge of the Microsoft Component Object Model (COM) standard.
Ability to work in a Matrix Organization.
Languages
English Spanish
Others
Close communication with internal teams and departments.
Collaboration with External Technology Development Suppliers
We are an Equal Opportunity Employer and we are committed to developing a diverse workforce in which everyone is treated fairly with respect and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as a veteran and basis of disability or any other federal state or local protected class.
Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer please contact us at
Full-Time