Precision Neuroscience
Precision’s goal is to provide breakthrough treatments for the one billion patients worldwide suffering from neurological illnesses$1. .$1
brain-computer interfaces • medical device • neuroscience • neurology • BCI
11 - 50
VP, Software Engineering and AI
July 21
🏢 In-office - Bay Area
Precision Neuroscience
Precision’s goal is to provide breakthrough treatments for the one billion patients worldwide suffering from neurological illnesses$1. .$1
brain-computer interfaces • medical device • neuroscience • neurology • BCI
11 - 50
Description
• We are seeking a Vice President of Software Engineering and AI to lead the team designing and delivering our software and AI systems that collect, process and analyze large quantities of high-resolution neural data. • This is an extraordinary opportunity to lead all aspects of our software product lifecycle, including early R&D projects to formal verification and validation testing to commercial deployment. • The software and AI products you will lead are core to the functioning of high-performance brain-computer interfaces necessary to restore function and independence to patients with debilitating neurologic impairments. • Here at Precision, you will be joining a well-capitalized and fast-moving company and collaborating with experts across a diversity of fields - including neurosurgery, mechanical engineering, machine learning and microfabrication - all working together to push the boundaries of what is possible to enable these patients to regain their independence and autonomy.
Requirements
• Oversee all Software Engineering and ML projects and initiatives, ensuring our products are safe, effective and secure and delivered on time and on budget. • Oversee design, recruitment, and scaling of the Software and ML organization at Precision, and represent these functions on the Company’s senior leadership team • Collaborate in agile settings on cross-functional projects with leaders and teams across the company. • Review technical designs and sign-off on development plans for key software and machine learning initiatives. • Communicate project updates on progress, risks, options, barriers and recommendations to technical and non-technical audiences. • Mentor, coach and manage Software Engineering and ML team leads. • Collaborate with the rest of our team to publish and present our work to external stakeholders.
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