Top Engineering Jobs in San Francisco, CA

Reposted 3 Months AgoSaved
In-Office
2 Locations
215K-254K Annually
Senior level
215K-254K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate large-scale data ingestion, storage, and query systems for AI/ML experiment tracking. Architect and optimize distributed backend services (petabyte-scale), implement customer-facing APIs, run services on Kubernetes/cloud, diagnose production issues, lead architectural initiatives, and mentor junior engineers.
Top Skills: AWSAzureBigtableClickhouseDockerGCPGoGrpcKafkaKubernetesMySQLPostgresPubsubPythonRestTerraformTypescript
Reposted 3 Months AgoSaved
In-Office
2 Locations
139K-204K Annually
Senior level
139K-204K Annually
Senior level
Cloud • Information Technology • Machine Learning
The Systems Engineer will design, implement, and optimize HR systems such as Workday HCM, collaborating with stakeholders to enhance HR technology solutions.
Top Skills: AbsenceBenefitsPayrollRestSoapTime TrackingWorkday Business ProcessesWorkday HcmWorkday IntegrationsWorkday ReportingWorkday Security
Reposted 3 Months AgoSaved
In-Office
2 Locations
188K-275K Annually
Senior level
188K-275K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead end-to-end technical delivery of large-scale bare-metal GPU clusters for strategic customers: facility/rack design, GPU cluster bring-up, InfiniBand/RoCE fabric validation, HPC benchmarking and remediation, operational models for BMaaS, and cross-team product feedback. Act as primary technical customer contact, run proofs-of-concept, collaborate with engineering teams, and support security-sensitive, production-ready supercomputers.
Top Skills: AnsibleBare Metal As A Service (Bmaas)BashBiosBmcFirmwareGb200Gpu ClustersHigh-Speed FabricHpcIb_Write_BwInfinibandKubernetesLinuxNcclNvidia HgxNvlinkPxe BootPythonRoceSlurmTcp/Ip
Reposted 3 Months AgoSaved
In-Office
2 Locations
198K-264K Annually
Expert/Leader
198K-264K Annually
Expert/Leader
Cloud • Information Technology • Machine Learning
Lead operational readiness reviews for large-scale data center projects, identify design/construction/commissioning gaps, drive corrective actions, validate turnover readiness, coordinate across design, construction, commissioning, and operations to ensure mission-critical infrastructure meets standards and is handed off reliably.
Top Skills: Microsoft ProjectPrimavera P6Smartsheet
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