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About the Role
Lucid is seeking a VP of Research to define and lead the company's research strategy in AI compute verification. This role involves setting the research agenda, managing a team of researchers, and directing experimental programs on the RISE testbed. The goal is to produce evidence about AI hardware's operations and ensure computations align with claims, addressing complex scientific challenges in areas like workload classification, network-based evidence, and hardware attestation.
Responsibilities
- Own Lucid's research agenda, including the selection of verification claims, prioritization, and definition of success criteria.
- Lead and expand the research team, focusing on hardware security, cryptography, networking, and ML systems.
- Direct the research program for the RISE testbed, encompassing experiment design, red-team engagements, and publication under an open protocol.
- Collaborate with policy and partnerships leads to translate policy and customer needs into specific, verifiable claims.
- Represent Lucid's research externally through publications, presentations, and engagement with research institutions and academia.
- Establish high standards for research rigor, including the publication of negative results.
Requirements
- Demonstrated success in leading research within security, systems, hardware, or cryptography, with evidence of published or deployed results.
- Proven experience in managing researchers or engineers and providing strategic direction to a team.
- In-depth knowledge in at least one core area: hardware roots of trust and TEEs, applied cryptography and proof systems, network measurement, or ML systems.
- Sound judgment regarding the feasibility and value of research problems.
- Comfort with public and adversarial examination of research work.
Skills
- Hardware security
- Cryptography
- Networking
- ML systems
- Hardware roots of trust
- TEEs
- Applied cryptography
- Proof systems
- Network measurement
- ML systems
- Research management
- Team leadership
- Experiment design
- Publication
- AI safety
Location
- San Francisco
- London
Work Type
- Onsite
- Hybrid
Experience Level
- VP level
- Leadership experience
Benefits
- Competitive compensation
- Equity
About the Company
- Lucid builds systems that produce evidence about what AI hardware is doing, where it is doing it, and whether the computation matched what was claimed.
- The company addresses complex scientific challenges spanning workload classification, network-based evidence, hardware attestation on accelerators, and physical and supply-chain assurance.
- Lucid runs an adversarial testbed on a 16-GPU H100 cluster called RISE, where mechanisms are built, attacked by an independent red team, and published.