AI for the hardest problems in science and engineering: it searches, verifies and compounds expertise. Meet Maxwell, the first Code Execution Model. Backed by Bessemer.
About the role
We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems. This role combines hands-on management of our large-scale GPU cluster with classical DevOps responsibilities across cloud infrastructure, CI/CD, Kubernetes, monitoring, security, and developer productivity. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response
- Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics, storage, and related infrastructure
- Deploy, maintain, and improve infrastructure around Slurm, Kubernetes, and GPU workload orchestration
- Manage and improve our cloud environment, including compute, networking, storage, IAM, security groups, cost visibility, and production infrastructure
- Build, maintain, and improve CI/CD pipelines
- Work closely with engineers to understand infrastructure bottlenecks and improve development, training, inference, and deployment velocity
More about this role
We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems.
We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems. This role combines hands-on management of our large-scale GPU cluster with classical DevOps responsibilities across cloud infrastructure, CI/CD, Kubernetes, monitoring, security, and developer productivity.
doubleAI is building next-generation reasoning and code-optimization agents that push the frontier of artificial expert intelligence. Our models are built on world-class infrastructure: large-scale GPU clusters, fast networking, reliable scheduling, deep observability, secure cloud environments, and CI/CD pipelines that allow our team to move quickly without compromising reliability.
We are looking for someone deeply technical, hands-on, and AI-native in mindset — someone who understands that compute, automation, reliability, and security are foundational to building an AI company.
- Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response.
- Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics,...
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