Research Scientist Wireless Sensing

Overview

Join a pioneering team driving advancements in wireless sensing technologies for augmented reality (AR), wearable devices, and robotics. As a research scientist, you will design, develop, and prototype innovative hardware and software systems that help define the next generation of perception capabilities in smart devices, with a direct impact on real-world products and research directions.

Responsibilities

• Research, prototyping, and development of novel wireless sensing systems for AR, wearable, and robotic applications.
• Design and implement hardware platforms and supporting software infrastructure to accelerate experimental research and technology validation.
• Develop demonstrable prototypes showcasing wireless perception and sensing algorithms, and communicate outcomes effectively to technical and non-technical stakeholders.
• Collaborate cross-functionally with product, hardware, and research teams to turn exploratory concepts into actionable deliverables.
• Publish research findings and contribute to the broader scientific and engineering community as appropriate.

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering, Physics, Computer Science, or a related technical field.
• 3+ years of research experience in one or more of the following domains:
  • Radio-frequency systems (e.g., wireless communication, radar, software-defined radios)
  • Signal processing and machine learning (e.g., DSP, wireless perception algorithms)
• Proficient in Python, MATLAB, C++, or a similar programming language.
• Experience with at least one major machine learning framework (e.g., PyTorch, TensorFlow, Keras, MATLAB Deep Learning Toolbox).
• Demonstrated ability to collaborate across teams and disciplines, including cross-cultural and cross-functional environments.

Preferred Qualifications

• Master’s or PhD in Electrical Engineering, Physics, Computer Science, or a closely related field.
• Deep expertise in signal processing, data analysis, or advanced machine learning model development, especially as applied to radar, lidar, or similar sensing modalities.
• Hands-on experience developing research platforms or electronics for high-frequency sensing applications.
• Proven track record communicating complex technical work clearly to both specialist and general audiences.
• Publication record in top conferences or journals in wireless sensing, signal processing, or machine learning.