You will be reporting to the Software Engineering Manager
0–2 years of software development experience, including internships, co-op programs, academic projects, or professional experience.
Experience with software engineering principles, object-oriented programming, and modern application development technologies. Familiarity with one or more programming languages such as Java, JavaScript, React, Angular or similar.
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To maintain proper record on project documentations and keep track on the dateline.
To provide exceptional customer service. Candidate must be able to handle these interactions with empathy and professionalism in addressing day to day User inquiries, complaints, and feedback.
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Drive software quality through code reviews, automated testing, and test coverage improvements using tools such as JUnit, Cucumber, Cypress, and similar frameworks.
Develop and maintain CI/CD pipelines and support DevOps practices that enable reliable and efficient software delivery.
Investigate, troubleshoot, and resolve production issues, performing root cause analysis to prevent recurrence.
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Work closely with local and/or remote Product Development team and follow through all test packages to ensure high quality product release and delivery.
Mentor and coach junior Test Engineers in performing their tasks.
Study and analyze functional specification to develop test cases.
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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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You may also perform other job-related duties as assigned.
You will be reporting to the Lead Architect
Familiar with modern software development tools, cloud technologies, and Generative AI concepts, including AI assisted development tools and the integration of AI capabilities into applications, will be beneficial.
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You may also perform other job-related duties as assigned.
You will be reporting to the Lead Architect
Familiar with modern software development tools, cloud technologies, and Generative AI concepts, including AI assisted development tools and the integration of AI capabilities into applications, will be beneficial.
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