BCI Software Team Lead

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.

Success In This Role Looks Like

• Establishing a stable, high-trust engineering team with clear ownership, technical direction, and growth paths
• Delivering a documented, defensible software architecture aligned with product, research, and regulatory requirements
• Driving measurable improvements in real-time system performance, reliability, and cybersecurity posture
• Consistently meeting milestones and shipping production-ready software aligned with clinical and regulatory needs

You will operate with meaningful ownership in a high-consequence environment, contributing to systems that must be precise, reliable, and durable.

The Impact You'll Make

This is not incremental work. You will help define how humans interact with technology for decades to come. It requires sound judgment, technical depth, and a commitment to getting important things right.

You will:

• Build and shape real-time brain-computer interface software systems that move research into clinical and patient-facing applications
• Directly influence how people interact with critical neurotechnology that restores communication, mobility, and independence
• Contribute to work that improves lives through safer, more capable, and more reliable BCI systems that patients depend on daily

What You'll Do

The Software Team Lead is a hybrid leadership and hands-on engineering role, spending time both guiding a team of 5–8 engineers and directly contributing to the codebase. You’ll move fluidly between architecture design, technical decision-making, regulatory documentation, and day-to-day engineering work, while also owning core people leadership responsibilities such as hiring, onboarding, performance management, goal-setting, and career development.

You will own the technical direction and architecture of Blackrock Neurotech’s BCI application software used across preclinical research, clinical trials, and future medical devices. This means you are responsible for how the platform acquires, processes, and interprets real-time neural and physiological data, and for ensuring it remains scalable, performant, reliable, and compliant as the system grows and moves toward regulated deployment.