Senior Signal Processing Software Engineer

Senior Signal Processing Software Engineer

Washington, District of Columbia, United States

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the company creates the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence.

The company is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at

We are an in‑office company, and employees are expected to work from an Applied Intuition office 5 days a week. We also recognize the importance of flexibility and trust employees to manage schedules responsibly, including occasional remote work or early departures to accommodate family commitments.

We are seeking an experienced digital signal processing engineer to join our cognitive sensing and radio frequency (CSRF) engineering team. The ideal candidate will play a significant role in designing, developing, and implementing cutting‑edge signal processing software solutions that align with our mission to deliver advanced technologies in signal and electronic intelligence (SIGINT and ELINT). This position requires extensive expertise in radar signal processing, radar modeling, software development, and defense‑related applications.

• Design and develop signal processing algorithms.
• Implement software‑driven solutions for modeling the RF spectrum and machine learning‑based RF techniques.
• Stay up‑to‑date with the latest advancements in signal processing and machine learning algorithms as they apply to electronic warfare techniques, algorithms and models, and implement best practices.
• Execute and support the engineering aspects of product development.

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
• Experience in RF signal processing.
• Strong programming skills in scripting (e.g., Python) and compiled languages (e.g., C and C++).
• Ability to translate specification documents into working software suites.
• Design, develop and evaluate software applications in electronic warfare.
• Ability to transition software simulation applications that are deployed on hardware.
• Passion for solving complex problems with little supervision in a fast‑moving team.
• Ability to work in a fast‑paced, highly collaborative, and rapidly changing environment.

• 5+ years experience with software implementation of signal processing algorithms.
• Well versed in cognitive electronic warfare techniques.
• Software integration and understanding of electronic warfare systems.

Must be willing to travel as projects require. Estimated average travel is once a month for 2 days up to 1 week (approximately 25%).

Must be a U.S. Citizen and eligible for a DoD Secret security clearance.

Base salary range: $155,000 to $210,000 USD annually. Compensation also includes equity and benefits such as health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. We abide by the requirements of 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a) and these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on race, color, religion, sex, sexual orientation, gender identity or national origin.

The parties also agree to abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart

A), relating to the notice of employee rights under federal labor laws.

Applicants may choose to provide voluntary self‑identification regarding disability and veteran status. Participation is voluntary and information will be kept confidential.