About the job
About Tacit
Tacit is an innovative deep tech startup located in San Francisco, dedicated to transforming human-computer interaction through groundbreaking hardware solutions. Our venture is supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team comprising experts from Stanford, BrainGate, Oculus, and Tesla. We are on a mission to tackle pioneering engineering challenges to bring visionary products to life.
About the Role
We are looking for a passionate PhD student to join us as an Antenna Engineering Intern. In this role, you will collaborate closely with our talented engineers and researchers to design, simulate, analyze, and validate advanced antenna systems for our wireless sensing hardware. This internship offers invaluable hands-on experience throughout the entire product lifecycle, emphasizing design optimization and performance reliability. You will have the unique opportunity to work on impactful problems, contributing directly to 0-to-1 product development in a vibrant startup environment.
Key Responsibilities
Design and evaluate antennas for specific wireless channel link budgets, considering various solutions and trade-offs between key performance indicators (KPIs).
Conduct computational electromagnetic simulations and develop new models utilizing full-wave electromagnetic software tools.
Analyze and interpret simulation results, providing insights and recommendations for design enhancements and performance optimization.
Create mock-ups for proof-of-concept prototypes and test vehicles, build testing fixtures and platforms, and develop solutions to automate antenna system development and data analysis workflows.
Support the PCB layout design process and DFM reviews, ensuring readiness for mass production with vendors and external manufacturing partners.
Collaborate with cross-functional teams to integrate antennas into complete device form factors.
Conduct antenna characterization to ensure integrated antennas meet specifications in free space and on-body, from prototype to mass production.
Assist in sensor calibration to minimize device-to-device variability and maintain reliable performance under various operating conditions and user scenarios.
Optimize hardware systems for low-noise and low-interference, high-resolution signal detection.

