What are the responsibilities and job description for the Lead Software Engineer position at Mind Company?
About the team
Increase your chances of an interview by reading the following overview of this role before making an application.
Mind Company's mission is to build non-invasive neural interfaces - that is, enabling a communication layer between humans and other humans or computers, directly using thoughts.
In pursuit of this mission, our Research Team is responsible for building and training appropriate machine learning models capable of translating brain data into useful forms, such as text.
About the role
As our Lead Software Engineer, you will be directly responsible for all our software engineering efforts.
You’ll be figuring out how to most accurately and efficiently translate brain wave data to useful forms. You’ll work with researchers, hardware engineers, and the CEO / CTO.
This role is based in San Francisco, CA. We're an in-person company who deeply believe that great products are not built working from home.
In this role, you'll :
Design and implement the software architecture that enables seamless integration between our AI models and hardware components
Work on projects like data pipelines, embedded software, data collection infrastructure, and frontend development
Use outputs from ML models to build useful products
Grow and manage the Software Team, and its direction
We're looking for candidates with the following traits :
2 years experience in Python, C and embedded Rust (especially Embassy)
Prior experience with cloud computing platforms, continuous integration and deployment practices, or hardware interfacing is a plus
Curious about the brain, and passionate about unlocking human-computer interaction
Strong leadership skills and self-starter, able to carry a project from beginning to end
About Mind Company
Mind Company is 6-person neuro-tech startup with the mission of building noninvasive neural interfaces. We build our own hardware systems which measure brain data, collect proprietary training datasets, and train useful ML models.
If we succeed, humans will be communicating at higher information rates, playing video games with their mind, and never using slow keyboards again. All without requiring surgery. Join us in making this vision a reality.
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