Senior Associate Software Engineer

Overview VTG is seeking a Senior Associate Software Engineer with specific skills to optimize our Python-based software for modeling sonar array performance and other tactical use cases. The primary focus of this role is to assist in implementing parallel processing and GPU acceleration. This position will support our Navy customer in Manassas, VA . What will you do? Study and recommend methods of improving application performance or adding features Add more detailed or targeted calculations to improve application performance and fidelity Identify underperforming areas in existing Python code and refactor them into high-performance modules Leverage C++ extensions and GPU kernels where necessary Conceive, develop, and evaluate novel engineering solutions to address the unique requirements Do you have what it takes? Bachelor’s in Computer Science, Computer Engineering, or similar 2+ years relevant experience working with GPUs and implementing parallel processing approaches Proficient with Python Experience with CuPy or Numba for writing GPU kernels in Python Experience with Python’s multiprocessing library Proficient in NumPy and Vectorization techniques Excellent verbal and written communication skills Initiative, innovative, and resourceful Successful completion of background check Ability to obtain and maintain a Secret clearance Desired Qualifications/Skills/Abilities: Experience with C++, including OpenMP, MPI and threading Experience with pybind11, Cython, or ctypes to bridge Python and C++ Knowledgeable with modern PaaS environment tools such as Kubernetes, Docker, Podman, KVM, and Helm Experience with shell scripting languages Study and recommend methods of improving application performance or adding features Add more detailed or targeted calculations to improve application performance and fidelity Identify underperforming areas in existing Python code and refactor them into high-performance modules Leverage C++ extensions and GPU kernels where necessary Conceive, develop, and evaluate novel engineering solutions to address the unique requirements Bachelor's in Computer Science, Computer Engineering, or similar 2+ years relevant experience working with GPUs and implementing parallel processing approaches Proficient with Python Experience with CuPy or Numba for writing GPU kernels in Python Experience with Python's multiprocessing library Proficient in NumPy and Vectorization techniques Excellent verbal and written communication skills Initiative, innovative, and resourceful Successful completion of background check Ability to obtain and maintain a Secret clearance Desired Qualifications/Skills/Abilities: Experience with C++, including OpenMP, MPI and threading Experience with pybind11, Cython, or ctypes to bridge Python and C++ Knowledgeable with modern PaaS environment tools such as Kubernetes, Docker, Podman, KVM, and Helm Experience with shell scripting languages