5 months ago
Cincinnati, OH, USA +3 moreMid Level
Base Salary
$175k - $235k/yr
Responsibilities
- Build open-source tools, libraries, integrations, code samples, demos, and SDKs for Kernel’s developer experience.
- Create tutorials, guides, demos, technical blog content, and other educational materials.
- Improve Kernel’s developer documentation as a core product surface.
- Engage with the developer community through GitHub, Slack, Discord, Twitter, and in-person events.
- Answer developer questions, amplify community projects, and bring community insights to product and engineering teams.
Requirements
- Be a hands-on builder with LLMs and agents.
- Have a strong foundation in software engineering or applied AI and be comfortable building code samples, demos, and lightweight applications.
- Demonstrate developer empathy and the ability to communicate effectively with software developers.
- Write and present clearly across written content, video, and live presentations.
- Show curiosity, high agency, and enthusiasm for building products that delight software engineers.
Benefits
- Industry-competitive salary and equity.
- Premium medical and dental coverage, including dependent coverage.
- Small, high-trust team with senior and staff engineers.
- Default async work style with minimal bureaucracy.
- Daily lunches provided.
- Unlimited paid time off.
- 401(k) with company match.
- Relocation assistance.
- Hiring process includes a 30-minute founder call, a 45-minute technical interview, and a half-day virtual or in-person onsite.
Categories
Solutions Engineering
About Kernel
Kernel develops noninvasive neuroimaging hardware and software that measure brain activity for research, clinical studies, and human performance applications. Its flagship product, Kernel Flow, is a wearable time-domain fNIRS system that enables real-time, high-density cortical measurements and cloud-based data analysis. Founded in 2016 by Bryan Johnson and headquartered in Culver City, California, Kernel partners with labs and organizations that need scalable, participant-friendly brain data collection.