Compunnel, Inc.
Client is seeking two experienced C++ Developers to join our team. These developers will work on mobile projects and embedded engineering, specifically in Android/iOS development, with expertise in C++, machine learning models, and working with technologies like barcode scanners and cameras. The ideal candidates will have a deep understanding of C/C++ architecture and experience with performance tuning. Mobile experience can be from either Android or iOS, and the focus is on C++ and embedded development or machine learning.
Key Responsibilities:
C++ Development: Develop and optimize applications using C/C++ architecture, focusing on performance and efficiency.
Mobile Device Integration: Work on mobile projects, with expertise in Android or iOS development.
Embedded Engineering: Apply embedded systems knowledge to integrate mobile devices with technologies like barcode scanners and cameras.
Machine Learning: Integrate and work with machine learning models to improve system functionality.
Performance Tuning: Identify performance bottlenecks and apply tuning techniques to enhance system performance.
Collaboration: Work closely with cross-functional teams to deliver high-quality mobile and embedded solutions.
Required Qualifications:
Experience: Strong experience in C/C++ architecture, particularly in mobile and embedded development. Mobile Development: Experience working with either Android or iOS mobile platforms. Machine Learning: Familiarity with machine learning models and their integration into applications. Hardware Integration: Experience working with barcode scanners and camera integration. Performance Tuning: Proven experience in performance tuning of mobile and embedded applications. Preferred Qualifications:
Machine Learning Expertise: Experience with more advanced machine learning algorithms and their optimization. Cross-platform Knowledge: Experience working with both Android and iOS platforms is a plus. Embedded Systems: Knowledge of embedded systems architecture and protocols is a bonus. Real-Time Systems: Experience working on real-time applications or systems is preferred. Certifications (if any):
Embedded Systems Certification or relevant qualifications in C++ programming or machine learning are a plus but not required.
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Experience: Strong experience in C/C++ architecture, particularly in mobile and embedded development. Mobile Development: Experience working with either Android or iOS mobile platforms. Machine Learning: Familiarity with machine learning models and their integration into applications. Hardware Integration: Experience working with barcode scanners and camera integration. Performance Tuning: Proven experience in performance tuning of mobile and embedded applications. Preferred Qualifications:
Machine Learning Expertise: Experience with more advanced machine learning algorithms and their optimization. Cross-platform Knowledge: Experience working with both Android and iOS platforms is a plus. Embedded Systems: Knowledge of embedded systems architecture and protocols is a bonus. Real-Time Systems: Experience working on real-time applications or systems is preferred. Certifications (if any):
Embedded Systems Certification or relevant qualifications in C++ programming or machine learning are a plus but not required.
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