Vice President, Engineering
Core
Define and implement a unified, scalable platform for autonomous experimentation across hardware, automation, and systems engineering to enable AI-driven lab science.
Role type
VP of Engineering (Executive Leadership)
Builds
Global AI Science Factory sites and a repeatable deployment model for autonomous laboratories.
Domain
AI-integrated lab automation, materials science, chemistry, and life science.
Deliverable
production ML models | infrastructure | physical/clinical work
Required skills
Lab automation engineering, multi-disciplinary team leadership, AI/ML integration in engineering, systems architecture, reliability engineering, scaling operations, robotics integration, controls/SCADA, change management, executive stakeholder management.
Preferred skills
Mechanical/electrical systems fluency, interface standard definition, lifecycle management (PLM-lite), multi-domain science fluency, LIMS/orchestration pipeline management, R&D to scaled operations transition.
Technologies
Robotics, SCADA, LIMS, orchestration schedulers, AI/ML frameworks, controls systems.
Responsibilities
Set engineering roadmap and platform priorities; define unified platform architecture; establish system-level ownership of interfaces and requirements; implement lifecycle and compliance processes; develop global deployment models; build mentorship culture; partner on industrializing autonomous labs; integrate AI into engineering lifecycle; establish hiring practices; represent engineering to executives; partner with external integrators.
Seniority
Executive (VP), hands-on leadership