Digital Signal Processing Engineer (Space Division)

Create clear and concise technical documentation for algorithms, software, and hardware designs. - Write detailed reports and presentations to communicate findings to technical and non-technical audiences. Your qualifications should include:

Education and Experience:

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. - Strong foundation in digital signal processing theory and techniques. - Proficiency in programming languages such as C/C++, Python, or other relevant languages. - Experience with DSP tools and software. - Knowledge of hardware platforms like DSP processors, FPGAs, or microcontrollers. - Technical Skills:

Signal Processing Fundamentals: Fourier Transform, Digital Filtering, Adaptive Filtering, Statistical Signal Processing, Wavelet Transform, Time-Frequency Analysis. - Programming and Software Development: Proficiency in C/C++ and Python, familiarity with software development methodologies. - Hardware Integration: Understanding of digital hardware architecture, experience with hardware platforms. - Problem-Solving and Analytical Skills: Strong analytical and problem-solving abilities with attention to detail. - Soft Skills:

Communication Skills: Effective written and verbal communication. - Teamwork: Strong collaboration skills. - Adaptability: Willingness to learn and adapt to changing requirements. - Curiosity and Innovation: Passion for learning and creative problem-solving. Astrome offers great career growth opportunities along with ESOPs, Gratuity, PF, and Health Insurance. As a talented DSP engineer at Astrome, you will have the opportunity to work on cutting-edge projects and contribute to the development of advanced signal processing solutions for various applications. Your role will involve the following responsibilities:

Algorithm Development:

Design, develop, and optimize signal processing algorithms for applications like audio, video, communication systems, and medical devices. - Research and implement state-of-the-art signal processing techniques. - Analyze signal characteristics and identify areas for improvement. - Software Development:

Implement DSP algorithms using languages such as C/C++, Python, or specialized DSP tools. - Develop software tools and libraries for signal processing tasks. - Integrate DSP solutions into larger software systems. - Hardware Integration:

Collaborate with hardware engineers to design and optimize DSP hardware architectures. - Implement DSP algorithms on hardware platforms like DSP processors, FPGAs, or microcontrollers. - Optimize code for efficient execution on target hardware. - Performance Analysis and Optimization:

Analyze the performance of DSP algorithms and systems. - Identify and resolve bottlenecks. - Optimize algorithms and implementations for improved performance and efficiency. - Testing and Validation:

Develop test plans and test cases to verify the correctness and performance of DSP systems. - Conduct thorough testing and debugging to ensure high-quality deliverables. - Documentation:

Create clear and concise technical documentation for algorithms, software, and hardware designs. - Write detailed reports and presentations to communicate findings to technical and non-technical audiences. Your qualifications should include:

Education and Experience:

Bachelor's or Master's degr