At OpenBCI we are building the next generation of high-quality human-computer interfaces. We are a growing team of ambitious engineers, designers, and scientists. We are on the lookout for a highly motivated software expert with a passion for biosensing, brain-computer interfaces, and cross-platform architecture. OpenBCI is building a multi-modal biometric sensor system integrated with HMDs, and the Software Team Lead will be managing the development of the compatible software ecosystem.

The salary range is $120,000 to $160,000, depending on experience.

Please include the following information in your application:

Resume
An explanation of why you want to work at OpenBCI
Portfolio or examples of past work

Come innovate with OpenBCI

Apply Here

Primary Responsibilities

Oversee the planning, development, and management of professional software, code repositories, and system architecture across platforms
Design, build and document scalable solutions to complex biosensing problems.
Collaborate with hardware, firmware and software engineers to test and debug software systems.
Provide maintenance and support for the existing OpenBCI products.
Conceptualize high-level software system design
Direct UI/UX feature improvements
Develop and document workflow, policies, and other infrastructure related activities
Wear many hats. OpenBCI is still a small company, so everyone has to get their hands dirty from time to time. Be comfortable stepping outside your role to help others.

Qualifications

Bachelor’s degree in computer science or related field.
5+ years of professional software engineering and systems design.
Experience with all operating systems (MacOS/Windows/Linux).
Experience with C, C++, Java, Python, Unity, Javascript and cloud computing.
Experience with software and firmware troubleshooting.
Knowledge of industry best practices for designing, implementing, and maintaining software and open source repositories.
Experience writing firmware, contemporary radio communication protocols, and low-level software code.
Experience with data encryption and privacy.
Understanding of applied machine learning techniques.
Self-motivated and well-organized.
Strong interpersonal communication skills to identify and solve problems across teams and an open source community.

Preferred Skills

In-depth knowledge and understanding of non-invasive electrophysiological data processing (EMG, ECG, EEG).
Developer experience with Head-Mounted Displays, AR/VR, and Human-Computer Interfaces.
In-depth knowledge and understanding of handling image/camera/video data.