Dedalus Labs
Systems Engineer
San Francisco
H1B sponsorship availableDetected 22 days ago
C++Distributed SystemsKubernetesAgentic AILogisticsSystems EngineeringResearchCommunication
About the role
- Every millisecond, every sys-call, every scheduling decision matters.
- TASTE You know the difference between software that merely works and software that feels inevitable.
- TIPS The first thing we look at is your GitHub.
Responsibilities
- Measure before optimizing, then optimize relentlessly.
- Say how things ought to be built, then build them.
- Building a distributed storage layer for persistent agent state.
- Developing virtualization and isolation technologies for secure multi-tenant workloads.
- Building developer infrastructure that makes deploying and operating AI agents dramatically simpler.
- Experience building distributed systems in industry, research, or open source.
- Relocation support available.
Nice to have
- Experience with Kubernetes or modern cloud infrastructure.
- Familiarity with distributed storage systems.
- Understanding of consistency models and consensus.
- Experience with virtualization, containers, hypervisors, or Firecracker.
- Kernel, operating systems, or low-level runtime experience.
- Contributions to systems-focused open source projects.
- Experience with performance engineering and systems optimization.
- Background in systems research, networking, databases, distributed computing, or related fields.
Compensation
- Competitive salary and meaningful equity.
Benefits
- Competitive salary and meaningful equity.
- Meals and office benefits included.
Visa & Work Authorization
- We sponsor visas
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This listing is sourced directly from Dedalus Labs's careers page and normalized into a canonical job model.