Overview
Skills
Job Details
Key Responsibilities: Analyze and understand existing Python code for electromagnetic field computations. Translate Python code into efficient, high-performance C++ code for embedded systems. Implement and optimize mathematical and computational algorithms to enhance performance, focusing on manipulating and analyzing data in multidimensional spaces. Collaborate with cross-functional teams to ensure the accuracy and efficiency of the code conversion. Optimize computation to achieve real-time processing performance on embedded platforms. Document code and processes to facilitate future maintenance and updates. Skillsets: 7+ years of experience and working at a Senior or Principal level Proficiency in designing, implementing, and optimizing Digital Signal Processing algorithms and with embedded systems design. Experience optimizing algorithms for embedded targets that are memory and CPU resource constrained with optimizing computations for real-time processing. Experience with DSP hardware and software tools and strong debugging and troubleshooting skills with target tools and environments. Experience with real-time operating systems (RTOS) requirements Experience with working with C++ mathematical libraries and tools that use linear algebra: matrices, vectors, numerical solvers, and geometric transformations Familiarity with microcontrollers, DSP processors, and interfacing to FPGA. Experience in agile development methodologies Languages: C++, Python, MATLAB Familiarity with mathematical and scientific simulations software tools like MATLAB, Eigen, Boost Experience working with Git Qualifications: Minimum M.S. in Electrical Engineering, Computer Engineering, or Computer Science, Mathematics, or a related field. Proven experience in C++ development with a strong understanding of Python. Experience in embedded systems programming and development. Familiarity with Python libraries used for scientific computations (e.g., NumPy, SciPy). Experience with optimizing computations for real-time processing is highly desirable. Preferred Qualifications: Background in physics or electrical engineering with a focus on electromagnetic fields. Knowledge of electromagnetic field computations and related mathematical concepts, and experience with complex number handling. |
Experience in using mathematical libraries and tools, particularly in the context of linear algebra, geometric transformations, and optimization techniques such as iterative algorithms.