System Integration and Verification Engineer

Culver City, CA /
Engineering - Hardware /
Permanent | Full-time
Kernel is building world leading, non-invasive brain interface technology.

The System Integration and Verification Engineer will integrate electronic, mechanical, and optoelectronic subsystems into working full-stack systems, while developing system-level testing procedures and collecting verification data for deployed Kernel brain interfaces. The engineer will also assist in the initial operation of final systems and provide valuable insights from deployment for improving the system design, assembly processes, and integrated subsystem architectures. The ideal candidate will become a critical player in ensuring the highest quality of released system and an amazing customer experience. This role requires a candidate with great attention to detail, mechanical aptitude and software/computer skills.

Neuroscience is the new rocket science.

ESSENTIAL FUNCTIONS:

    • Assemble and integrate optical, electronic, mechanical, and embedded PC subassemblies 
    • Develop and run quality checks, and analyze in comparison to historical data
    • Collect experimental data from phantoms (test rigs) and human subjects
    • Write quality reports
    • Work with the engineering team to perform root cause failure analysis, especially focusing on integration failures between two or more subsystems. Prototype and implement scalable solutions to overcome hardware and software integration friction
    • Form the interface between software, firmware, mechanical design, manufacturing, and operations to ensure that the final human-interfacing system works as intended
    • Stress-test all aspects of the system, to identify issues before our customers do and mitigate them

BASIC QUALIFICATIONS:

    • Bachelor's degree in Physics, Computer Engineering, Electrical Engineering, or equivalent
    • 4+ years experience integrating complex systems
    • Experience in complex system integration (for example: MRI, Ultrasound, aerospace, automotive, and/or defense systems)
    • Competent python coding, proficiency with Linux

PREFERRED SKILLS:

    • Experience with non-invasive imaging (MRI, EEG, MEG, fNIRS)
    • Experience collecting human data and working with experimental participants
    • Advanced knowledge of one or more of the following: Python, C/C++, embedded firmware, FPGAs
    • Competent SolidWorks skills and understanding of mechanical design
    • 3D printing/rapid prototyping of test fixtures
    • Proficiency in Git
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.