Job Description:
Build the systems that expand human capability. At Blackrock Neurotech, we've spent decades making the impossible possible – helping people move, speak, and reconnect with the world when they otherwise could not. We've seen that restoring function restores more than ability. It restores independence, identity, and agency. Today, we are building the next generation of human capability: brain-computer interfaces that are designed to be safe, scalable, and trusted in the real world. Our work is not only about reconnecting people to what was lost, but about expanding what is possible – creating a seamless interface between human intent and technology. This is foundational work in a category-defining field. You will help build the infrastructure for a future where neural interfaces are invisible, reliable, and deeply human-centered. Working at Blackrock Neurotech means: Owning meaningful, high-impact problems at the frontier of science and engineering; Building alongside experienced, thoughtful peers across disciplines; Solving technically complex challenges grounded in real human outcomes; Contributing to a culture that values rigor, clarity, and long-term thinking over noise. The Role: This role exists to translate Blackrock Neurotech's brain-computer interface research into reliable, regulated, real-time software that reaches users. The Software Team Lead sits at the critical boundary between experimental neural data processing and production-grade, IEC 62304-compliant systems, ensuring that novel concepts in decoding and signal interpretation are transformed into safe, scalable, and maintainable software. You will lead a team of 5–8 engineers while also contributing hands-on code, setting technical direction, and owning the architecture of the platforms that acquire, process, and interpret real-time neural and physiological signals. You will partner closely with neuroscience, firmware, hardware, clinical, and regulatory teams to ensure software accelerates rather than constrains the path from lab to patient.
