Signal Processing and Algorithms Engineer

Company Description

Starbird AI is building next-generation positioning, navigation, and timing (PNT) technology. We operate at the intersection of satellite signal processing, advanced algorithm design, and defense-grade resilience. Our team is solving hard problems in signal detection, Doppler estimation, and navigation — pushing the boundaries of what's possible in contested and GPS-challenged environments.

Role Description

We're looking for a Signal Processing and Algorithms engineer to join our core R&D team. You'll design and implement the signal processing and navigation algorithms at the heart of our technology — from signal detection and acquisition, measurement extraction from RF signals, through localization and tracking algorithms.

The role combines low-level signal processing and high-level estimation algorithms, working on real-world signals and hardware platforms.

Key Responsibilities

• Develop and implement advanced signal processing algorithms and DSP techniques for signal detection, acquisition, and measurement extraction.
• Design and implement high-level system algorithms such as:
• Kalman Filters
• Sensor Fusion
• Spatial processing and estimation algorithms
• • Implement and simulate algorithms using Python, MATLAB, or C/C++.
• Collaborate with multidisciplinary teams including RF, FPGA, and software engineers.
• Support system-level testing, validation, and experimentation on real hardware platforms.

Requirements

• M.Sc. or Ph.D in Electrical Engineering (or equivalent) with specialization in Signal Processing.
• Strong mathematical background.
• 5+ years of experience in algorithm and signal processing engineering.
• Experience in satellite communications, navigation systems, or radar signal processing.
• Deep understanding of Doppler estimation and tracking, correlation techniques, and carrier/code synchronization.
• Proficiency in Python, MATLAB, or C/C++.
• Strong teamwork and communication skills.

Advantages

• Experience working with RF sensors or RF-based systems.
• Background in Machine Learning / AI theory.
• Experience with system-level testing and hardware integration.

Nice to Have

• Background in reverse engineering or vulnerability research.
• Hands-on experience with RF lab equipment and SDR platforms.

Why Join Us?

You'll be working at the forefront of alternative PNT — one of the most critical gaps in modern defense and autonomous systems. Recent real-world events have proven that GPS denial is not a future risk but a current operational reality. This is a chance to build technology with direct impact on defense, autonomous systems, and critical infrastructure resilience.

Location: Israel (on-site / hybrid)

Interested? Apply now or reach out directly.