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 systems programming to build the software tools which will support the launch of our hardware devices to market.

ESSENTIAL FUNCTIONS:

• Design and implement our real-time software in multiple languages (primarily in Rust) to ingest, process, and display time series brain data
• Improve our Rust acquisition software while improving performance, robustness, and safety
• Assist in building our data systems by improving and replacing existing libraries with compiled code
• Enhance our UIs by writing ergonomic APIs for FFI interfaces and WASM applications
• Work with our firmware teams to develop efficient, secure data transfer from our devices.
• 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:

• 3+ years of professional software engineering experience
• We code in Typescript, Python, C++, and Rust today; you should be able to demonstrate comfort, proficiency, and mastery in Rust or have enough knowledge in systems programming to make up the gap. SDK engineers will have to bridge the gap into each of these languages to some degree.
• 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 optimizing systems programming languages

PREFERRED SKILLS:

• It would be highly desirable if you have experience writing FFI code and knowledge of WASM state of the art.
• Comfortable with working in multiple layers of a system and learning on the job
• Able to independently debug a wide array of issues and not afraid of diving into 3rd party source code to do so
• You care deeply about privacy, safety, and security