Thanks for your interest in the Systems Engineer position.
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Key qualifications:
• PhD, Master’s or Bachelor’s degree in Electrical Engineering, or a related field.
• 2-3 years of practical experience in building and running experimental neuro-behavioral and/or neuro-physiological paradigms.
• Expertise in implementing hardware and software components for such experiments including concepts of state-machines, real-time high throughput data acquisition and storage, signal processing, visual stimulus presentation, and high resolution eye tracking
Preferred qualifications:
• Proficiency in LabVIEW, Matlab, and Python.
• Experience with National Instrument hardware.
• Experience with designing databases in Python/MySQL for big data.
• Experience with problem-solving and engineering solutions for large-scale experiments in neuroscience.
• Experience with networking and cloud storage.
What we offer:
• Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering.
• Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.
• Competitive salary and benefits.
• Strong mentoring in career development.
Please complete the basic application through Stanford Careers, and we also ask that you send your CV and one page interest statement to: recruiting@enigmaproject.ai
The expected pay range for this position is $102,000 to $122,000 per annum.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.