Software Engineer, Data Processing and Analysis

Culver City, CA (Onsite) /
Data Science | Algorithms /
Onsite | Permanent | Full-time
Kernel is building next generation, non-invasive, mind/body/machine interfaces (MBMIs). Our team of neuroscientists, engineers, and physicists are working on the frontier, pioneering in multiple fields. The technology we’re building will improve how we address mental disease and dysfunction and usher in a new era of exploring, improving and evolving our cognition.

We are looking for an experienced Software Engineer to support implementation, validation, testing, and infrastructure for our signal processing, data analysis, modeling, and visualization algorithms. The ideal candidate has industry-grade software engineering skills in Python as well as a strong mathematical and numerical computing background. Experience with algorithms for signal processing and data analysis are a plus. As the data opportunities we face are vast and complex, collaborating effectively with a team on larger projects, as well as digging deep individually, will both be key.

Neuroscience is the new rocket science.


    • Rapidly research, implement, validate, and extend signal processing and analysis algorithms and techniques from the relevant literature
    • Generate robust, well-documented, scalable tooling, scaffolding, and infrastructure in the process
    • Systematically validate and test the resulting algorithms using synthetic and real data
    • Communicate progress, challenges, and results effectively within and across teams


    • Bachelor’s degree in computer science or related field
    • 5+ years of industry experience in software engineering
    • Expertise with numerical and scientific Python (numpy, scipy, matplotlib)
    • Industry-grade software engineering skills in Python. The candidate should be able to write clean, efficient, and well-documented Python code and have a practical understanding of software design principles, decomposition, modularity, abstraction, and object-oriented programming
    • Familiarity with collaborative software development including version control and code reviews


    • Master’s degree in Computer Science or related quantitative field
    • Experience with state of the art infrastructure and tooling for large scale data processing and analysis
    • Strong background in mathematics, statistics, signal processing, data analysis, and numerical algorithms
    • Experience processing, analyzing, and interpreting time dependent neuroimaging data in particular, including electromagnetic (EEG, ECoG, MEG) and hemodynamic modalities (fNIRS, fMRI)
This position will require access to information protected under U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR).  Please note that any offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.