Signals Software Engineer

Signals Software Engineer LOCATION

Annapolis Junction, MD 20701

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

We are seeking a talented and innovative Signals Software Engineer to join our team and contribute to the development of advanced software solutions for signal processing and analysis. In this role, you will design, implement, and optimize algorithms and applications to process complex signal data. You will collaborate with cross‑functional teams to develop efficient, scalable, and reliable systems that address challenging technical requirements.

The ideal candidate has a strong foundation in signal processing concepts, is proficient in software development, and thrives in a dynamic and collaborative environment. Join us to play a critical role in advancing cutting‑edge technologies and solving real‑world challenges.

Signals Software Engineer, Signal Processing Engineer, DSP Engineer, Software Engineer for Signal Processing, Embedded Systems Engineer, Communication Systems Engineer, RF Software Engineer, Algorithm Developer, Systems Software Engineer, Signal Intelligence Engineer, etc.

Bachelor's Degree

Electrical Engineering, Computer Science, Software Engineering, Systems Engineering, Information Technology, Applied Mathematics, Data Science, Telecommunications Engineering, Physics, Signal Processing, etc.

General comment on degrees:
Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

• Design and develop software for signal processing applications
• Implement and optimize signal processing algorithms
• Analyze and process complex signal data
• Collaborate with teams to integrate signal processing solutions into larger systems
• Troubleshoot and debug signal processing software
• Create documentation for signal processing software solutions

• Proficiency in programming languages such as C++, Python, or MATLAB
• Strong understanding of digital signal processing (DSP) concepts
• Experience with signal analysis tools
• Ability to optimize code for real‑time processing
• Knowledge of software development lifecycle (SDLC)
• Familiarity with version control systems (e.g., Git)

• Experience with RF signal processing
• Familiarity with machine learning applications in signal analysis
• Understanding of hardware integration with signal processing systems
• Knowledge of communications protocols (e.g., LTE, Wi‑Fi)
• Proficiency in using FPGA or GPU for signal processing
• Familiarity with advanced simulation tools (e.g., Simulink)

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• No long, wordy reviews with tons of paperwork!!!
• Referral bonus program with recurring annual payments

Email us at  or apply today:

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws.

We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.