Negotiable Salary
Axiom Software Solutions Limited
Lafayette, CO, USA
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. • Experience with software development lifecycle (SDLC) in regulated environment • Experience working with GitHub, Bitbucket, Jira, Confluence