Precision Neuroscience is developing a brain-computer interface (BCI) to restore communication and independence for people with neurological conditions. The company needs a Vice President of Software Engineering to lead the development of all software components for these high-performance implantable BCIs, integrating them with hardware and machine learning algorithms to enable thought-based control of digital devices.
Requirements
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- 10+ years’ experience in software development, including 5+ years’ experience as a director or above
- Proven track record of building and scaling high-performing teams supporting full life-cycle software development through commercialization
- Experience in developing a scalable systems architecture that supports cross-platform software development including desktop, mobile and cloud environments
- Experience interfacing with embedded systems teams and supporting software-hardware integration
- Familiarity with modern machine learning concepts and collaboration with ML R&D teams is a plus
Responsibilities
- Oversee all Software Engineering projects and initiatives, ensuring our products are safe, effective, and secure, and delivered on time and on budget
- Define the overall software development practices that support high-quality and timely delivery of Precision’s software roadmap
- Review technical designs and sign-off on development plans for key software initiatives, especially those involving device integration and the implementation of ML algorithms
- Communicate effectively to both technical and non-technical audiences to ensure alignment with software team goals, milestones, and risks
- Build and grow a high-performing software organization through hiring, developing people, and creating a strong team culture that retains key talent
- integrating cutting-edge machine learning algorithms developed by our R&D ML teams into our software platforms
- lead all aspects of our software development efforts
Other
- This position is on-site at our Santa Clara (CA) or New York (NY) location.
- We are unable to consider remote workers or people not currently based in the United States who do not have employment authorization.
- Successfully partner across the organization, particularly with device hardware and ML R&D teams, to achieve overall company objectives
- Successful track-record of working in fast-paced and interdisciplinary engineering teams
- Build and grow a high-performing software organization through hiring, developing people, and creating a strong team culture that retains key talent
