Principal Radar Imaging DSP Engineer

Cambridge Terahertz, Inc. is a pioneering semiconductor company that transforms terahertz imaging into a practical, real‑time threat detection platform. Leveraging custom silicon phased arrays, AI‑driven analytics, and advanced signal‑processing, the company delivers a compact, wireless system for real‑time detection of concealed threats in airports, train stations, and other high‑traffic venues worldwide.

Principal Radar Imaging DSP Engineer – Position Summary

Cambridge Terahertz seeks an award‑winning Signal Processing Engineer to become the cornerstone of its software team. In this role you will design, develop, and maintain the digital signal‑processing pipelines that turn raw THz radar data into actionable, high‑resolution imagery for threat detection. Your work will directly influence the system’s accuracy, latency, and usability, enabling the company’s mission to bring airport‑level security to the masses.

Key Responsibilities

• DSP Architecture & Algorithm Design: Conceptualize and implement end‑to‑end signal‑processing algorithms tailored to the unique THz waveform and array configuration. Focus on clutter suppression, range‑Doppler processing, beam‑forming, motion compensation, and sub‑pixel localization of concealed objects.
• Software Engineering & Integration: Develop high‑performance, real‑time code in C++ or Python, collaborating with firmware and hardware engineers to ensure seamless data flow from ADC to the AI inference engine. Optimize code for target platforms (x86, ARM, FPGA) and maintain a clean, testable codebase.
• AI & Machine‑Learning Pipeline: Integrate machine‑learning models for object detection, classification, and threat prioritization. Evaluate and tune TensorFlow/PyTorch models, work with data scientists to refine training pipelines, and maintain reproducibility of results.
• Visualization & UX Support: Build visualization tools (e.g., WebGL, OpenGL, Plotly) to provide real‑time previews of reconstructed 3‑D images to operators and engineers. Enable quick debugging and performance tuning by creating interactive dashboards.
• Data Management & Calibration: Design data‑capture workflows, develop calibration routines, and manage sensor calibration data. Ensure accurate timestamping, sensor alignment, and drift compensation for long‑term operation in real environments.
• Testing & Performance Optimization: Develop unit, integration, and hardware‑in‑the‑loop test suites. Profile and optimize latency, memory footprints, and computational load to meet the stringent real‑time requirements of security screening.
• Cross‑Functional Collaboration: Work with RF, hardware, firmware, and product teams to define system requirements, conduct design reviews, and iterate on algorithms. Present findings and recommendations in technical meetings to non‑technical stakeholders.
• Open‑Source & Community Engagement: Contribute to relevant open‑source signal‑processing libraries (e.g., libRadar, OpenCV) to accelerate development, maintain documentation, and promote reproducibility.

Required Technical Skills

• Master’s degree or higher in Electrical Engineering, Signal Processing, Computer Engineering, or related discipline; 5+ years of professional experience in radar, LiDAR, or high‑frequency signal‑processing.
• Proficiency in C++ or Python; experience with real‑time operating systems and low‑latency code design (RTOS, multi‑threading, SIMD, GPU acceleration).
• Deep knowledge of radar signal‑processing concepts: matched filtering, CFAR, Doppler, beam‑forming, imaging, and clutter mitigation.
• Familiarity with high‑performance computing frameworks (CUDA, OpenCL) and machine‑learning frameworks (TensorFlow, PyTorch, scikit‑learn) for embedding AI models.
• Hands‑on experience with MATLAB for algorithm prototyping, as well as version control (Git), continuous integration, and unit testing frameworks.
• Ability to work with hardware engineers: translate RF waveforms into digital samples, interpret ADC specifications, and coordinate test harnesses.
• Excellent written and verbal communication skills, with a talent for explaining complex signal‑processing concepts in plain language to cross‑disciplinary teams.

Ideal Candidate Profile

The ideal candidate is a self‑driven, innovative engineer who thrives in a fast‑paced, entrepreneurial environment. They bring a strong foundation in radar signal‑processing as well as the ability to develop production‑grade, real‑time software for safety‑critical applications. They enjoy bridging the gap between theory and practice, turning advanced research into reliable, deployable products that can be shipped to customers in a matter of months.

We are looking for someone who can take ownership of an entire signal‑processing stack—from concept to production—while actively mentoring junior engineers and cultivating a culture of learning and experimentation. They are comfortable working under tight deadlines, can navigate ambiguity, and are eager to shape the next generation of non‑invasive security technology. Their passion for safety, compliance, and user‑centric design will be key assets in guiding the company toward world‑class deployments.

If you have a track record of building high‑speed signal‑processing pipelines in the radar or LiDAR domain, a hunger for solving complex problems, and a desire to put cutting‑edge technology into people’s daily lives, Cambridge Terahertz wants you on our team.