Job Details

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 SoftwareEngineering 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.