RF/DSP Engineer (AI)

TL;DR

RF/DSP Engineer (AI): Building the digital signal processing foundation for an open-ocean RF sensing platform with an accent on algorithm architecture, geolocation, and edge compute optimization. Focus on designing end-to-end DSP pipelines, implementing signal detection primitives for ML integration, and optimizing performance for embedded hardware.

Location: Hybrid (Arlington, VA; Boston, MA; or San Francisco, CA). Must be eligible for an active Secret clearance.

Company

hirify.global leverages cutting-edge AI and robotics to enhance maritime domain awareness through distributed open-ocean sensing systems.

What you will do

• Design and implement end-to-end DSP pipelines from raw IQ ingestion to feature extraction.
• Develop and validate multi-sensor RF geolocation algorithms.
• Build signal detection, framing, and classification primitives for downstream ML pipelines.
• Write optimized C/C++ code for embedded processors and FPGA environments.
• Profile and optimize algorithms for latency, throughput, and power constraints.
• Define data interfaces and transport protocols between edge and cloud layers.

Requirements

• Bachelor's or Master's degree in Electrical Engineering, Signal Processing, or Applied Mathematics.
• 5+ years of hands-on DSP algorithm development for RF applications.
• Strong proficiency in C/C++ for performance-critical, embedded systems.
• Deep understanding of spectral analysis, digital filtering, and coherent signal processing.
• Experience with software-defined radio platforms and IQ data workflows.
• Must possess or be able to obtain an active Secret clearance.

Nice to have

• Familiarity with FPGA DSP pipelines (HLS, IP cores, or HDL).
• Experience building DSP pipelines for maritime RF signals.

Culture & Benefits

• Opportunity to work on ground-floor, high-impact maritime AI technology.
• Collaborative environment working across RF hardware, embedded, and ML teams.
• Focus on solving complex, real-world challenges in ocean sustainability and safety.