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System Engineer (Onsite, Lahore, PKR Salary)

About the position

Requirements: Bachelors degree in Electrical Engineering or equivalent (Masters or PhD preferred). Strong theoretical background in one or more of the following areas is required: Digital Communications, Signal Processing, or Machine Learning. 1+ years of relevant professional experience. Proficiency in one or more programming languages: MATLAB, Python, or C/C++. Good understanding of fixed-point arithmetic is required. Experience with AI frameworks such as TensorFlow, PyTorch, or similar is highly desirable. Hands-on experience with DSP applications for image, speech, or baseband processing is highly desirable. Assembly language experience for digital signal processors (DSPs) is desirable. Good understanding of CPU architecture and system-level concepts is desirable. Strong passion for learning new technologies and expanding technical expertise. Takes pride in producing high-quality, well-documented code. Excellent communication and collaboration skills. Comfortable working with team members across different disciplines, experience levels, and time zones. Responsibilities: Design, develop, and optimize system-level algorithms for communication, signal processing, and machine learning applications. Implement and validate algorithms using MATLAB, Python, and C/C++. Develop and optimize fixed-point implementations for performance and efficiency. Work on DSP-based solutions for image, speech, and baseband processing applications. Integrate and evaluate AI/ML models using frameworks such as TensorFlow and PyTorch. Collaborate closely with hardware, firmware, and software teams to ensure system-level integration. Analyze system performance, debug issues, and optimize for accuracy, latency, and resource utilization. Create and maintain clear technical documentation for designs, implementations, and test results. Stay updated with advancements in DSP, communications, and machine learning technologies.

Place of work

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Punjab
app.general.countries.Pakistan

About the company

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Job ID: 10232519 / Ref: 8ca8ca120a9be71987b38f1d7162e320

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