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Bci Software Team Lead

United States, Salt Lake City · Job Posted May 13, 2026
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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.

Job Responsibility

  • Lead and mentor a team of 5–8 engineers while actively contributing to the codebase
  • Own system architecture and technical direction for real-time BCI application software
  • Design and maintain low-latency, high-reliability streaming signal-processing pipelines
  • Ensure deterministic performance across CPU, GPU, and/or FPGA-accelerated components
  • Strengthen cybersecurity and reliability of connected medical-device software systems
  • Define and enforce engineering standards, design review processes, and best practices
  • Drive software readiness for clinical studies, trials, and regulated device environments
  • Balance research prototyping with production-grade software development and long-term maintainability
  • Partner closely with neuroscientists on signal processing and algorithm requirements
  • Collaborate with hardware and firmware teams on system integration and performance
  • Work with clinical teams on study design, trial software needs, and deployment readiness
  • Coordinate with Regulatory and Quality teams on documentation, traceability, and verification requirements

Requirements

  • 10+ years combined education and experience in software engineering, with at least 3 years building production software in the field
  • 3+ years leading or managing engineering teams, with demonstrated success running teams through hiring, mentorship, goal-setting, and performance management
  • Proven track record of shipping production software in real-time, embedded, or safety-critical domains
  • Experience developing software for, or within, a regulated environment (e.g., for medical device, ISO 13485, FDA QSR/QMSR, or equivalent)
  • Demonstrated ability to define and communicate software architecture for complex, multi-component systems to both technical and non-technical stakeholders
  • Strong command of real-time architectures, data streaming, and signal processing, including determinism, latency constraints, and resource management
  • Proficiency in real-time and/or embedded software development
  • Hands-on proficiency in Python for data pipelines, test automation, and prototyping
  • Working experience with high-performance compute for low-latency signal processing using GPU (Metal, CUDA, OpenCL), FPGA, or equivalent
  • Familiarity with cybersecurity principles for networked or connected medical device software (threat modeling, secure coding practices, vulnerability management)
  • Ownership mindset that takes accountability for individual, team, and department outcomes and follows problems through to resolution
  • Leads by example, balancing hands-on technical contribution with mentorship and people leadership rather than choosing one over the other
  • Sound technical judgment under ambiguity, with the discernment to know when to invest in productization versus prototype and when to escalate
  • Curiosity and adaptability through active tracking of advances in real-time systems and neurotechnology and adjusts approach as the company, products, and regulatory landscape evolve
  • Excellent communicator and cross-functional coordinator across neuroscience, hardware, firmware, clinical, regulatory, and quality partners

Nice to have

  • Prior experience building software for brain-computer interfaces, neural recording systems, or closed-loop neurostimulation
  • Deep understanding of real-time and multi-threaded systems, including OS-, scheduler-, or kernel-level performance tuning and debugging
  • Strong systems thinking with proven ability to tightly integrate software with hardware, firmware, and clinical workflows
  • Experience supporting FDA submissions (IDE, 510(k), De Novo) in a technical or engineering leadership role
  • Familiarity with IEC 62304 and design-controlled development, including authoring or reviewing software lifecycle and traceability artifacts
  • Experience working within clinical study or trial environments, including software deployment to sites, protocol alignment, and safety reporting
  • Experience in startup, scale-up, or deep-tech environments with rapidly shifting priorities and lightweight process structure
  • Proven ability to balance research prototyping with disciplined productization, taking ideas from early exploration to regulated, shipped systems without losing technical intent
  • Track record of mentoring engineers and building high-trust, inclusive teams that perform under pressure and through ambiguity
  • Open-source contributions, publications, or conference talks in real-time systems, neurotechnology, signal processing, or medical device software
  • Background in neuroscience, biomedical engineering, or related fields enabling fluent collaboration with scientific and clinical partners
  • Experience hiring and scaling engineering teams through rapid growth or regulatory transition periods

What we offer

  • Sustained, high-quality work over performative urgency
  • Low ego, high trust and high context collaboration
  • Strong work expected but life outside of work valued

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