Software Engineering Manager BCI

Meet Life Sciences is partnering with a stealth neurotechnology company in San Francisco that is developing cutting-edge brain-computer interface technology to help restore autonomy and improve quality of life for people living with disabilities. They are hiring a hands-on Software Engineering Manager to lead a small team working across a data-intensive application platform, ML workflows, and device integrations, helping translate advanced research into dependable, commercially ready product features.

Team Culture

Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.

Job Description

We are seeking an experienced Software Engineering Manager to coordinate development of a data-intensive application platform, and its integrations with ML workflows, clients, and devices. You’ll support a small team in planning and delivering complex work, shaping the technical strategy and day-to-day execution. Your work will help translate research-validated neurotechnology into dependable, commercially ready product features.

Role Responsibilities

• Introduce and foster engineering best practices that emphasize code quality, modularity, usability, and long-term flexibility.
• Mentor and develop engineers through regular feedback, coaching, and technical guidance, including people-management responsibilities.
• Design and implement key modules across the server-side product and its integration points.
• Partner closely with Quality and Regulatory teams to produce high-quality technical documentation.
• Translate validated research concepts into robust, production-quality software.

Role Qualifications

Required Qualifications

• Significant experience delivering medical software products throughout the full product lifecycle.
• Experience planning and delivering multi-person software projects.
• Demonstrated success leading or mentoring engineers.
• Solid understanding of systems involving ML pipelines, device integration, and distributed architectures.
• Excellent communication skills and comfort working across research, product, and quality.

Preferred Qualifications

• Experience integrating cloud, ML, and device software into a cohesive product.
• Experience building data rich and high performance server software.
• Experience shaping engineering processes and establishing technical roadmaps.

What We Offer

• An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.
• Competitive compensation, including stock options.
• 401(k) program with matching contributions.

Confidentiality

All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process