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The Space Mission Sector is seeking a Software Developer to join our growing technology company in the Boston area. Candidate will support a multitude of programs with a range of system capabilities and maturity level. System capability will be tested over the air locally and at government test locations. As Lead Software Developer, you will work with a team to design, implement, and test systems software for advanced real-time signal processing applications for sonar, radar, electronic warfare (detection, protection, jamming, and spoofing).
Job Responsibility:
Work with STR team to understand capability requirements, brainstorm solutions, and evaluate the pros and cons of each to inform decisions
Develop and implement embedded systems software for advanced real-time signal processing applications
Potential travel to customer meetings and/or data collections and experiments is expected
Requirements:
Ability to obtain a Top Secret security clearance
U.S. citizenship required
Experience developing software with GNU/Linux toolchains using open source software
Proficient in C, C++ or similar real-time embedded programming languages
Comfortable using Python and/or MATLAB programming languages
Experience with firmware languages such as VHDL and/or Verilog
Experience with software tools including Integrated Development Environments (IDEs), version control, tracking, scripting, and break-point debugging
Working knowledge of software design patterns and best practices
Understanding of software-hardware interfacing techniques and implementations
Enthusiasm to learn new skills and a desire for developing software
BS, MS, or PhD in Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or a related technical discipline
5-7+ years experience depending on the degree
Nice to have:
Active Secret or TS/SCI Clearance
Linux kernel level modules and device driver development
Knowledge of real-time multi-threaded embedded software, preferably on Linux OS
Experience writing software using a large multi-party code base
Working in a laboratory environment using measurement equipment and performing quantitative data analysis
Developing software using hardware accelerators such as GPUs, DSPs, and FPGAs
Experience implementing software using systems on a chip such as Xilinx MPSoC or RFSoC
Experience using machine learning techniques
Real-time optimization of signal processing algorithms developed in languages like MATLAB or Python