Senior Software Engineer, Precision Neuroscience

• Bachelor's degree or above in Computer Science, Computer Engineering, or related field
• 6+ years' experience in software engineering roles, with emphasis on complex system development
• Strong programming expertise in C++ and Python, with demonstrated ability to write efficient, maintainable code
• Experience with near real-time software systems and performance optimization
• Excellent problem-solving skills and ability to work in a fast-paced environment
• Desired (one or more):
• Mobile development experience, particularly in medical or healthcare applications
• Digital signal processing expertise, especially related to biological signals
• Low-level software development experience (drivers, HID interfaces, embedded systems)
• Experience with regulated medical software development (IEC 62304, FDA requirements)
• Strong background in multithreaded programming and concurrent systems
• Strong background working with machine learning teams
• Strong background working with hardware teams

Desirable

• As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible
• You will be joining a well capitalized and fast-moving company
• In the two years since Precision’s founding, we have built and validated a product and have begun human trials in partnership with some of the country’s leading neurosurgery programs
• And you will be working toward a deeply meaningful goal: restoring function to people living with devastating neurological conditions, including stroke, spinal cord injury, traumatic brain injury, and neurodegenerative disease such as ALS
• Our platform will enable these individuals to regain independence, communicate with loved ones, and return to work
• We are seeking a Senior Software Engineer to join our mission of advancing brain-computer interface technology
• As a Senior Software Engineer, you will play a crucial role in developing the software systems that enable our revolutionary BCI platform to transform patients' lives
• You'll work on complex technical challenges at the intersection of neuroscience and computing, from real-time neural signal processing to intuitive user interfaces that help patients regain their independence
• Software Architecture and Development: Design, implement, and verify cross-platform, scalable applications that are safe, effective, and secure. Create robust architectures that can handle real-time neural data processing while meeting strict safety and regulatory requirements. Deliver solutions that balance technical excellence with pragmatic timelines and budgets
• Cross-functional Leadership: Collaborate in agile settings with diverse teams including Product, Firmware, and Machine Learning. Drive technical discussions, mentor junior engineers, and help establish engineering best practices. Present complex technical concepts to both technical and non-technical stakeholders
• Quality and Documentation: Lead technical design reviews and conduct thorough code reviews to ensure high quality standards. Create comprehensive technical documentation including architecture specifications, API documentation, and user guides. Develop and maintain automated testing frameworks
• Project Management and Communication: Report regularly to the broader team on project progress, identifying risks early and proposing mitigation strategies. Drive technical decision-making while clearly communicating trade-offs and recommendations. Contribute to regulatory documentation and submissions
• Innovation and Research: Thrive in an environment where you'll be breaking new ground in BCI development. Create novel solutions that span multiple disciplines, from real-time neural signal processing to advanced machine learning implementations. Stay at the forefront of rapidly evolving fields including computational neuroscience, digital signal processing, embedded systems, and ML
• Team Collaboration: Participate in regular in-person team meetings and potentially travel to clinical sites to better understand user needs and system performance. Build strong relationships with team members across all disciplines