Epia Neuro is a neural technology company developing intent-driven systems designed to restore function and independence for people living with neurological conditions. Its platform integrates implantable neural interfaces, adaptive algorithms, and assistive devices to translate neural intent into real-world action. The company’s initial focus is stroke-related motor impairment, with expansion in cognitive decline and other neurological disorders, focusing on long-term solutions for the growing aging population. How We Work We are intentional. We prioritize and are thoughtful about how we use others’ time. We care for others. We prioritize safety both for patients and one another. We own outcomes, not just tasks. Our work demands the highest standards because it impacts real patients and real lives. Humility is a strength. We are honest about what we know and what we don’t know. Getting it right matters more than being right. The Role Design, build, and own the core software architecture for a brain–computer interface (BCI) medical device that restores volitional movement for people living with paralysis. As a Staff Software Engineer, you will define and implement end-to-end software systems spanning embedded embedded software, backend services, and machine-learning (ML) deployment pipelines, while operating within IEC 62304 and FDA regulatory requirements. You will be the technical anchor for a growing software organization, setting foundational architectural direction in a greenfield environment while balancing patient safety, system reliability, performance, and regulatory compliance. Your work will directly shape the therapeutic effectiveness, scalability, and long-term evolution of a first-generation BCI medical device. This role is an opportunity to help redefine what is possible for people living with paralysis. What sets this role apart This role offers an opportunity to drive technical direction across a growing software organization, owning foundational architecture and design decisions for a novel BCI medical device. With no simple or safe blueprint to follow, success will depend on navigating ambiguity, building cross-functional consensus, and making high-stakes technical decisions that will directly impact patient outcomes.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed