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ML infrastructure, or large-scale cloud storage. - Systems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, concurrent, production-grade systems code. Familiarity with DPDK/SPDK and
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- San Francisco Office (Fremont St)
- Country
- San Francisco Office (Fremont St) (ATS location fields)
- Work mode
- Hybrid (ATS workplaceType/location)
- Salary
- $314K - $465K (ATS compensation field)
- Stack
- - Systems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, concurrent, production-grade systems code. Familiarity with DPDK/SPDK and kernel-bypass data paths is a plus; kernel-level storage driver or storage daemon experience is even better. (Source language/tool mention)
- Stack
- - Systems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, concurrent, production-grade systems code. Familiarity with DPDK/SPDK and kernel-bypass data paths is a plus; kernel-level storage driver or storage daemon experience is even better. (Source language/tool mention)
- Stack
- - Collaboration: Partner closely with storage software, networking, control plane, Kubernetes, observability, compute, and fleet engineering teams to deliver cross-functional infrastructure initiatives, define and track storage SLOs/SLIs, and ensure reliable deployment and maintenance of distributed storage infrastructure. (Source language/tool mention)
- Stack
- stems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, (GTM description)
- Stack
- tunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial inte (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Software Engineer - Infrastructure StorageSource details
Company identifier: lambda
Source ID: ashby:lambda:c7ecb434-fdc0-434e-a455-9c200055cda0
Board: ashby:lambda
Evidence field: description
Match rule: weak_knowledge
Go matches in source: 3
Department as supplied: Data Center Business
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