Dalcom, LLC

• Develop algorithms for Digital Signal Processing (DSP), Digital Beam Forming (DBF), and general I/Q processing; implement these algorithms in C++ or CUDA and integrate into distributed simulation environment

• Coordinate with teams implementing algorithms within MATLAB, as well as within System on a Chip (SoC) embedded solutions (RFSOC)

• Provide expertise in signal processing, particularly in the processing of radar I/Q data

• Analyze gaps and tradeoffs in existing simulations environment, and develop corresponding Courses of Action (COAs)

• Coordinate with internal and external organizations to support requirements definition

• Communicate proposed approaches and findings to all levels of leadership

• Collaborate in technical discussions to assist with near- and long-term system planning

• Prepare technical reports and conference papers describing findings and future work

• Write test procedures for algorithm evaluation and analysis

• Manage code quality through version control, automated software builds, and automated unit testing

• Bachelor’s degree in Computer Science from an ABET-accredited institution

• Active TS/SCI clearance

• 3+ years of implementation experience in modern C++

• Experience with CUDA programming / memory management

• Experience with GIT or other version control

• Clearly communicates complex ideas and produces high-impact, well-organized presentations in relevant terms for audiences at all levels

In addition to these skills, we also desire a candidate who has provided previous support or has experience with the following:

• 2+ years of experience in radar system design, development, engineering, test, evaluation, and data analysis

• Proactive continuous learner, ideally with public repositories on GitLab, GitHub, etc.

• Quality technical writing skills

• Development experience on Linux (Redhat) and Windows

• Understanding of unit testing in C++ and JAVA environments

• 1+ years of experience with MATLAB

• 1+ years of experience with Python

• Experience with multithreading and/or C++ optimization