Engage with C-level executives, Technology & Manufacturing Leaders stakeholders to understand business challenges and technology roadmaps.
Position Software technology solutions that improve manufacturing efficiency, production visibility, equipment utilization, quality, traceability, predictive maintenance, and operational excellence.
Collaborate with Solution Architects, Presales Consultants, and Engineering teams to design customer-centric digital transformation solutions.
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In addition, you are leading the software engineering direction by establishing engineering standards, promoting DevSecOps best practices, providing technical coaching and contributing to the AWS cloud software engineering community.
Bachelor’s degree in Computer Science, Information Systems Management or in similar fields – Master/PhD is a bonus (CGPA > 3.0 or similar grading is a must)
8+ years of experience in software engineering with a track record of ownership in cross-functional teams, excellent communication skills, and a strong focus on continuous learning, technical curiosity, mentoring and driving high-impact engineering outcomes.
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Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success.
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Collaborate with QA on continuous integration and delivery (CI/CD) as well as other automated and manual testing to make sure our app releases are always worthy of five star ratings.
Monitor the performance of the live apps and continuously improve them on both code and experience level.
Raise the bar by reviewing each other's code, share knowledge, tips and tricks, and generally help out - within and across teams. This may include pair programming.
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Design and improve clickstream data pipelines—from event ingestion to insight delivery—and contribute to services/tools for understanding user behavior.
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Develop algorithms and optimise for LiDAR and Camera sensor data processing, including tracking filters (e.g., Kalman filters, particle filters), feature extraction, object detection, and sensor fusion techniques
Integrate trained models into the production system, ensuring smooth deployment and operation under production-grade ROS (1/2) nodes in C++.
Take models from research to deployment - TensorRT conversion, quantization, and latency/throughput optimization on NVIDIA embedded platforms.
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Develop algorithms and optimise for LiDAR and Camera sensor data processing, including tracking filters (e.g., Kalman filters, particle filters), feature extraction, object detection, and sensor fusion techniques
Integrate trained models into the production system, ensuring smooth deployment and operation under production-grade ROS (1/2) nodes in C++.
Take models from research to deployment - TensorRT conversion, quantization, and latency/throughput optimization on NVIDIA embedded platforms.
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