Senior Radar Algorithms Engineer

At Algolight, we live and breathe the future of artificial intelligence and the physical world.

🌍 Learn more about us: https://algolightltd.com

Our mission it two-folder:

On the civilian side, we build labeled 3D information layers from all types of sensors—for smart cities, drones, autonomous vehicles, infrastructure, public safety, and far beyond.

On the defense side, we bring true real-time intelligence to the edge—anywhere, for any sensor, at any point on the map—enabling smart, real-time decisions in the field.

Border Team Mission

At Algolight, we are building the next generation of autonomous, multi-sensor AI systems designed to operate in real, operational environments — not just in theory. Our work spans from raw sensor data to high-confidence triage, reasoning, and autonomous decision-making, enabling scalable, robust, and intelligent systems that reduce cognitive load on operators and help drive safer, more effective national operations.

As part of a national effort to modernize border operations, you will be a core technical force — helping define, design, implement, and scale AI-driven architectures that tie together data, models, agents, and operational systems.

🚀 What You’ll Be Responsible For

Radar Signal Processing & Detection

• Design and implement radar signal processing pipelines:
• Range–Doppler / Range–Angle processing
• Detection under low SNR and high clutter
• CFAR and adaptive thresholding techniques
• Handle real-world radar artifacts:
• Multipath, ground clutter, weather effects
• False alarms from terrain and infrastructure

Tracking, Estimation & Motion Modeling

• Develop and maintain multi-target tracking algorithms:
• Kalman / EKF / UKF / particle filtering
• Track initiation, maintenance, and termination
• Address ID stability, track fragmentation, and association challenges.
• Model motion for different target classes (humans, vehicles, animals).

Radar Data Handling & Quality Control

• Work directly with raw and semi-processed radar data.
• Design mechanisms for:
• Data normalization and calibration
• Sensor health monitoring
• Quality metrics and confidence estimation

Multi-Sensor Fusion

• Integrate radar outputs with other sensing modalities:
• EO/IR cameras
• Event-based vision
• Acoustic / seismic sensors
• Contribute to cross-sensor association and confidence fusion logic.
• Support downstream modules such as:
• event triage, scoring, and autonomous decision engines.

Research to Production

• Translate research-grade algorithms into robust, real-time implementations.
• Benchmark algorithms against operational datasets.
• Iterate based on field data, not only simulations.

Collaboration & Technical Leadership

• Work closely with perception, autonomy, and data platform teams.
• Help define radar-related interfaces, outputs, and system-level assumptions.
• Contribute to long-term sensing and fusion strategy.

🎯 What We Are Looking For

Required Qualifications

• Strong background in radar systems, signal processing, or applied physics.
• 5+ years of hands-on experience developing radar algorithms.
• Deep understanding of:
• Radar signal processing
• Detection theory
• Estimation and tracking
• Ability to work with raw sensor data, not only high-level abstractions.
• Strong programming skills (Python, C++ or similar).

Technical Strengths

• Radar detection and CFAR techniques.
• Multi-target tracking and data association.
• Statistical signal processing and estimation theory.
• Handling noisy, incomplete, and adversarial data.
• Algorithm validation and benchmarking.

⭐ Strong Advantages

• Experience with operational radar systems (defense, aerospace, border, maritime).
• Exposure to multi-sensor fusion systems.
• Familiarity with real-time or edge-deployed systems.
• Experience transitioning algorithms from research to production.
• Background combining classical signal processing with ML-based approaches.

🌟 What Awaits You at Algolight

• Ownership over radar intelligence at national scale.
• Real sensor data, real environments, real constraints.
• Freedom to combine classical radar theory with modern AI techniques.
• Collaboration with top-tier perception, autonomy, and sensing experts.
• A culture that values depth, rigor, and correctness over buzzwords.

🔎 Sensors We Work With

• UV, VIS, NIR, SWIR, MWIR, LWIR, Bolometric, Radar, Microphone, Geophone, SAR, Polarimetric cameras, Fiber sensing, Event cameras, Multi-/Hyper-spectral, Laser imaging cameras, Vibrometers, and more.