Cambridge Terahertz is a rapidly growing, venture-backed semiconductor company spun out of MIT. Recently featured in MIT News and Techcrunch, the company’s novel Terahertz (THz) imaging technology that can see through a variety of materials and enables a wide range of impactful use cases. We have already demonstrated hardware prototypes with landmark performance in solid-state THz radar imaging. A true “white space” technology on the frontiers of wireless and imaging technologies, we are developing an extensible imaging platform to save and improve lives. Our world-class team includes some of the best minds in RF, THz and hardware, and is passionate about taking on the most difficult technical challenges. We foster a creative, fast-paced, and values-driven culture that nurtures self-growth and learning, and using technology to enrich lives. If you have expertise in radar or lidar data processing and are looking for a challenging and dynamic role in a fast-paced startup environment with the opportunity to make a real difference, join us in creating the future. Overview • Cambridge Terahertz is seeking a talented and innovative Signal Processing Engineer to join our startup as our first hire in the software domain. An in-person role at our company office in Sunnyvale, CA, this role will be crucial in developing and implementing advanced data processing and visualization techniques for our cutting-edge THz imaging radar technology. Description • Cambridge Terahertz is seeking a talented and innovative Signal Processing Engineer to join our startup as our first hire in the software domain. An in-person role at our company office in Sunnyvale, CA, this role will be crucial in developing and implementing advanced data processing and visualization techniques for our cutting-edge THz imaging radar technology. • As one of the company’s early hires, you will work closely with the founding and leadership team to develop the company’s core product, a THz radar imaging sensor for concealed weapons detection. Using new forms of advanced 3d radar imagery data, early work will involve the reconstruction of scenes and images out of raw sensor output data and subsequently AI-based algorithms for detection and identification of objects within this data. As the lead engineer responsible for the signal processing pipeline, the work will initially work closely with internal Systems and Hardware engineers and external vendors and a growing software team. Job Requirements (Must Have) • 5+ years of experience in signal processing, preferably in radar, LiDAR or related data processing • Master’s degree or higher in Electrical Engineering, Signal Processing or related • Strong programming skills in MATLAB, Python, C++, or similar languages • Experience with signal processing, computer vision, and machine learning algorithms • Familiarity with radar or LiDAR systems and associated data processing challenges • Knowledge of data visualization tools and techniques • Experience with version control systems (e.g., Git) and software development best practices • Strong communication and team collaboration skills • Ability to work independently in a fast-paced startup environment Also desired (Nice to Have) • Experience handling non-ideal sensor data, including sidelobes and multipath reflections • Familiarity with AI and deep learning frameworks (e.g., TensorFlow, PyTorch) for radar and other forms of imagery • Experience with real-time data processing systems • Knowledge of signal processing techniques relevant to radar, mmW or THz imaging • Experience recruiting and building effective software teams • US Citizen Cambridge Terahertz offers generous and competitive compensation including health benefits, retirement benefits and equity in a fast-growing startup. Cambridge Terahertz is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information.