Sets Lucidβs AI compute verification research agenda, leads a multidisciplinary team and adversarial testbed, and represents the work through rigorous experiments, publications, and external research partnerships.
Lucidcomputing jobs
Builds privacy-preserving, verifiable clusters for developers and global deployers.
7 open roles at Lucidcomputing
Design and harden secure network devices and software for an adversarial AI-compute verification testbed, from traffic shaping and telemetry capture to cryptographic evidence and verifiable receipts.
Build and lead the commercial partnerships function, closing and developing technical and commercial partnerships, co-selling deployments, and turning successful engagements into repeatable architectures.
Own day-to-day operations for a small team, from scheduling, travel, and office logistics to finance coordination and standalone projects, with scope to take on broader company operations as the team grows.
Design and operate physical security protocols for AI/GPU data centers, collaborating across hardware, network, and research teams to test verification designs against sophisticated adversaries and publish the findings.
Contribute expertise across hardware, software, security, cryptography, AI systems, operations, or other relevant areas to help advance secure, verifiable compute infrastructure for AI.
Build security-critical systems that make AI compute independently verifiable, spanning cryptography, hardware security, GPU and ML systems, distributed infrastructure, networking, or trusted environments.
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