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Kernel

Neuroimaging headset for precision neuroscience analytics

Technical Content Engineer

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Hands-on experience building with artificial intelligence agents, large language model applications, or other agentic tooling.
  • Strong writing skills and the ability to produce effective developer content using artificial intelligence tools.
  • Ability to work across writing, video, code, and occasional live presentations.
  • Curiosity about the agentic web, browser infrastructure, agents, and autonomous workflows.

Responsibilities

  • Build sample applications, demos, and agents on Kernel, then turn them into tutorials, videos, and blog posts that drive developer signups.
  • Own content end-to-end, including concept development, code, documentation, and video.
  • Script, record, and edit polished video walkthroughs and demo reels.
  • Engage with the developer community on GitHub, Slack, Discord, and X by answering questions and amplifying what people build.
  • Partner with Engineering, Product, and Marketing on the content roadmap and calendar, selecting themes, setting the quality bar, and maintaining a steady stream of material around launches.

Desired Qualifications

  • Experience as a software engineer or hobbyist developer.
  • Experience with MCP servers, browser automation, or other agent infrastructure.
  • A following or track record in a developer community through a blog, YouTube, X, or open source.

About the Company

Kernel

Neuroimaging headset for precision neuroscience analytics

Kernel builds neurotechnology and brain-based biomarkers; its flagship Flow is a portable headset that collects high-resolution brain data by combining optical hemodynamic imaging with EEG. Data from Flow is uploaded to cloud analytics where AI/ML models extract biomarkers and generate actionable insights. It stands apart by offering a portable, research-grade multi-modal headset backed by a large proprietary dataset and scalable cloud tools, targeting collaborations with researchers, clinics, and pharmaceutical companies. Its goal is to speed up discovery and development of neurological treatments, improve patient outcomes, and advance neuromedicine through predictive biomarkers.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$112.3M
Headquarters
Bengaluru, India
Founded
2016

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