PAA/DBF DSP Simulation & Verification Engineer

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
• 3+ years of software engineering experience with MATLAB, Python, and C++.
• Experience profiling and optimizing computational code for speed and memory efficiency.
• Strong understanding of data structures, algorithms, and memory management.
• Familiarity with numerical methods and scientific computing.
• Experience with version control systems such as Git.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Master's or Ph.D. in Electrical Engineering, Applied Mathematics, or a related field.
• Experience with phased array antenna systems, RF simulation, or electromagnetic modeling.
• Knowledge of silicon RFIC and DSP design or related hardware simulation.
• Experience with MATLAB MEX files and MATLAB/C++ co-development.
• Experience with parallel and distributed computing frameworks.
• Background in signal processing or beamforming algorithms.
• Experience in aerospace, defense, or satellite communications environments.

Key Responsibilities:

• Optimize existing MATLAB, Python, and C++ simulation models for phased array antenna systems to reduce memory use and simulation runtime.
• Profile and benchmark simulation code, identify performance bottlenecks, and implement improvements.
• Refactor legacy MATLAB scripts into efficient, modular, maintainable codebases.
• Implement high-performance C++ algorithms for antenna and silicon modeling tasks.
• Collaborate with RF and DSP engineers to understand physical models and preserve simulation fidelity during optimization.
• Develop and maintain unit and integration tests to validate model accuracy before and after optimization.
• Explore and integrate parallel computing techniques, including MATLAB Parallel Computing Toolbox, OpenMP, and MPI.
• Optimize memory management and data structures, reduce algorithmic complexity, and develop MEX files for MATLAB/C++ integration.
• Document optimization strategies, methodologies, and results.
• Support continuous integration pipelines for simulation model validation.

• Candidates may be subject to verification and BGS screening as per applicable law.