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Lead Lucid’s AI compute verification research agenda, prioritize verification claims, and manage researchers across hardware security, cryptography, networking, and ML systems. Direct experiments and adversarial red-team cycles on the RISE H100 GPU testbed, establish rigorous success criteria, publish results including negative findings, translate policy and customer needs into testable claims, and represent the company through papers, talks, and academic partnerships.

Leads Lucid’s research partnerships and standards initiatives, beginning with the RISE collaboration. Builds relationships with universities, national labs, AI safety institutes, frontier AI developers, and standards bodies; manages agreements, delivery, publication, and specification adoption. Converts research results into reference architectures, technical specifications, and papers, while securing grant funding and building the function. Requires substantial technical-program or research-collaboration experience, standards-process expertise, technical fluency, and strong communication skills.

Supports company operations by managing executive calendars, scheduling, travel coordination, expenses, invoices, office needs, onboarding logistics, events, and special projects. The role requires discretion, strong writing, follow-through, comfort with ambiguity, and proficiency with modern workplace tools. It may grow into ownership of finance operations, recruiting, legal administration, or people operations.

Build and lead Lucid’s partnerships function by sourcing, structuring, and closing commercial and technical partnerships. Own partner relationships through delivery, co-sell into enterprise accounts, develop repeatable reference architectures, and cultivate direct enterprise and public-sector relationships. Represent the company in standards and governance forums, support pricing and commercial positioning, and build the team and processes needed for growth.

Lucid Computing welcomes expressions of interest from candidates interested in building secure, verifiable compute infrastructure for AI. Potential areas include hardware, software, security, cryptography, AI systems, and operations. The company values ownership, excellence, diverse perspectives, and enthusiasm for impactful technology. Candidates at all experience levels are encouraged to apply.