Kernel is bringing neuro measurement mainstream. We have built the next generation non-invasive brain interface. From the photon through machine learning, we are a close-knit, full-stack team that thrives on pushing the limits. Join us on this epic journey as we strive to usher in a new era of understanding ourselves, each other and the future of our shared existence.

We are looking for a skilled, self-driven problem-solver with expertise in backend software engineering to build APIs and client applications which will support the launch of our hardware devices to market.

ESSENTIAL FUNCTIONS:

• Technically mentors existing team and reviews Pull Requests
• Design and implement Python cloud APIs to ingest time series brain data, organize it, and manage the processes around data collection such as study participation
• Assist in building our AWS data lake, ETL infrastructure, and self-service analysis product
• Enhance our PyQt UIs used by our early customers and help evolve their future direction
• Improve our Rust acquisition client while maintaining high performance and robustness
• Help our scientists and physicists automate their hardware tasks with computer vision and actuator control
• Maintain a clean, concise and modular codebase and deliver high quality, well-tested code
• Be driven, able to defend architectural choices, and are comfortable working in a flat organization

BASIC QUALIFICATIONS:

• 5+ years of professional software engineering experience
• We code mostly in Python and Rust today; you should be able to demonstrate comfort, proficiency, and mastery in either of these or demonstrate flexibility in learning these on the job
• Know your way around *nix environments (bash/zsh), git, and other CLI tools
• Proficiency in communication protocols such as HTTP, websockets, TCP, and UDP
• Prior experience in and understanding tradeoffs of relational and non-relational databases and object stores
• Used cloud platforms at scale and are familiar with messaging and job queues

PREFERRED SKILLS:

• Comfortable with multiple languages and being able to interoperate between them
• Able to independently debug a wide array of issues and not afraid of diving into 3rd party source code to do so
• Pay attention to access controls, privacy, and security