Senior Software Engineer – Federal Systems

This role supports the product across the product life cycle – including design, prototype implementation, field test, and productization. The ideal candidate brings strong hands‑on experience across C/C++, Python, and embedded software, with exposure to Software-Defined Radio (SDR) platforms, secure communications, and ISR-relevant sensors.

This requires technical depth, system‑level thinking, and the ability to operate effectively in regulated and classified environments.

The role is primarily onsite in Burlington, MA, with flexibility for hybrid work as project requirements allow.

• Design, implement, and maintain embedded and real‑time software systems.
• Extend commercial products to the military domain and austere environments.
• Use military domain knowledge to recommend software product improvements.
• Design, implement, and maintain different operating modes for the SDR: radar, EW, mesh comms, passive RF, etc.
• Integrate Matrix Space sensor system data into commercial and military C2 systems, such as ATAK, FAAD-C2, Lattice, etc.
• Support hardware/software co‑design, collaborating with electrical engineers on SoC, FPGA, PCB, and RF‑adjacent systems.
• Develop operator, analyst, or engineering‑facing tools, including GUI applications, visualization interfaces, and web‑based dashboards.
• Participate in system integration, lab testing, verification, and validation, including hardware‑in‑the‑loop testing and design of unique testing scenarios.
• Contribute to technical design reviews, requirements decomposition, and interface control documentation (ICDs).
• Support customer demonstrations, test events, and operational evaluations.
• Mentor junior engineers and contribute to engineering best practices within the Federal Systems team.

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline.
• At least 5 years of professional experience in embedded systems for federal, defense, aerospace, robotics, or sensing applications.
• Demonstrated proficiency for design, implementation, and maintenance of embedded and real‑time software systems using C++, C, and Python for Linux‑based embedded platforms, including ARM, SoC‑based systems, GPU‑accelerated edge devices, and FPGA‑integrated architectures.
• Experience designing and performing tests to validate new software features at the unit level to system level.
• Experience using Git‑based version control, Agile workflows, and CI/CD pipelines.
• Strong written and verbal communication skills.

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline.
• Experience with radar systems, RF signal processing, GPS/GNSS, or ISR platforms.
• Experience with distributed systems, REST APIs, Web Socket‑based services, or data visualization pipelines.
• Experience writing and deploying containerized software with Docker and Dev Sec Ops  pipelines.
• Experience with outputs from convolutional neural networks (CNNs).
• Experience contributing to secure and mission‑critical system design, including cryptographic interfaces, key handling workflows, and system hardening concepts.
• Previous experience evaluating and implementing RMF controls.
• Previous demonstrated integration of military C2 systems such as TAK, FAAD-C2, SAPIENT, Lattice, etc.
• Familiarity with MATLAB, simulation environments, and hardware‑in‑the‑loop testing.
• We recognize that candidates may bring deep expertise in some areas and working knowledge in others.
• This role emphasizes embedded and sensor‑facing software; experience in other areas is a plus but not required on day one.

• Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

• Up to 10–20% travel to support integration events, testing, and customer engagements.

• Join a team that thrives on innovation and collaboration.
• Work on cutting‑edge radar and sensing technology bridging embedded systems, cloud computing, and AI applications.
• Collaborate with world‑class engineers solving complex distributed systems challenges.
• High ownership, fast iteration, and opportunities to lead architecture and innovation initiatives.
• Competitive compensation and benefits, equity options, and a culture that values innovation and technical excellence.