Computational Imaging and Signal Processing Engineer
Merge Labs, San Francisco Bay Area
About the job
Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
About the Team
We turn physical signals into information and back. We reason backward from neural readout and stimulation goals to co-optimize the physical and computational systems that make them possible. Working with scientists and engineers, we combine simulation, measurement, and signal processing across neural interfaces, device characterization, and high-throughput biological screening. Our systems stream tens of gigabits per second. Within constrained power envelopes, we find what limits sensitivity, resolution, and reliability, push what today’s devices can deliver, and set the specifications for future generations.
About the Role
You will build and maintain a shared imaging core that turns raw ultrasound data into image series across our platforms. You will define performance objectives and develop, optimize, and rigorously validate reconstruction methods. A central challenge is making these methods fast enough for real-time imaging and efficient enough for large-scale offline processing. Early work includes bringing existing acquisition and processing pipelines into a common framework that other engineers can use and improve.