About this opportunity
Meet Life Sciences lists this Software Engineering Manager opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Lead the evolution of cutting-edge applications that bridge the gap between advanced neural interfaces and human autonomy! If you excel at turning complex research into dependable, life-changing software products, our client wants to hear from you. This high-impact leadership opportunity lets you shape technical strategy, mentor top-tier engineering talent, and build robust ecosystems connecting devices, cloud infrastructure, and machine learning. Step into a pioneering startup environment where your work directly transforms user experiences and redefines what technology can achieve.
Description
Our client is an innovative startup pioneering next-generation Brain-Computer Interface (BCI) technologies designed to restore autonomy and improve quality of life. Joining this early-stage venture means owning broad architectural decisions and driving cross-functional collaboration.
The Challenge: Translate research-validated neurotechnology and complex data systems into robust, production-quality, and commercially ready software features.
The Difference: Work at the bleeding edge of hardware engineering and AI solutions where your daily contributions have an immediate, lasting impact on medical software products.
Core Responsibilities: Drive the development of high-performance mobile and desktop applications, partner with Quality and Regulatory teams for documentation, and establish engineering best practices.
Why Apply: Enjoy exceptional ownership, continuous learning, and a collaborative culture dedicated to creating life-changing technologies.
Skills
Significant professional experience delivering medical software products throughout the full product lifecycle.
Proven track record of planning, executing, and delivering multi-person software projects alongside mentoring engineers.
Solid hands‑on understanding and architectural grasp of data-intensive systems bridging devices, clients, servers, and machine learning.
Exceptional cross‑functional communication skills with the ability to bridge research, product, and quality assurance teams seamlessly.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.