Top Engineering Jobs in San Francisco, CA

Join the HPC SRE team to ensure availability, resiliency, and observability of large-scale GPU/CPU clusters for AI model training and inference. Build automation, tooling, and CI/CD, lead on-call and incident response, enforce security/compliance, and partner with ML engineers to accelerate research-to-production workflows.

Operate and improve Microsoft 365 services in sovereign cloud environments. Respond to high-impact incidents, develop telemetry and automation, implement scalable solutions, maintain security and compliance, coordinate cross-team crisis response, and mentor engineers to drive reliability and operational excellence.

Lead system and silicon architecture for Windows devices: define SoC requirements and roadmaps, translate workloads into system specs, drive co-design across hardware, software, and partners, build workload/system models, and guide technical decisions from early definition through silicon and product launch.

Design and deliver large-scale, cloud-native and AI-enabled solutions to manage Kubernetes clusters and AI workloads (AKS Arc). Implement, optimize, and maintain code; integrate AI capabilities; participate in on-call rotations; mentor engineers; and improve reliability, observability, performance, and operations at scale.

Support design and delivery of telecommunications infrastructure for datacenters, including fiber and copper cabling, ISP/SCS/OSP systems. Perform design reviews, create design documents and SOWs, support construction administration, testing and commissioning (OTDR, insertion loss, MPO/MTP), troubleshoot field issues, participate in site visits, and help maintain standards and engineering guidance across the datacenter portfolio.

Design, implement, and maintain high-quality, large-scale microservices for Azure Messaging within Microsoft Fabric; drive AI adoption to improve development processes and product innovation; ensure stability, performance, and rigorous testing; collaborate on systems-level features involving storage, replication, and OS-level interactions.

Lead qualification and production-readiness validation for new Azure Storage hardware, SSDs, networking, and firmware. Drive test planning, automation frameworks, large-scale performance and reliability analysis, root-cause investigations across hardware/software/firmware, and partner with internal and vendor teams to resolve issues and influence deployment standards.

Lead hardware-software co-design and performance architecture for Microsoft 365 AI workloads. Define benchmarking and workload characterization frameworks, investigate scalability and efficiency issues, evaluate emerging hardware with Azure and platform teams, and build AI-assisted performance engineering tools while providing cross-organizational technical leadership.

Design, develop, and maintain Azure-based full-stack skilling platform features. Build CI/CD pipelines and IaC, improve site reliability, automate testing (including AI/LLM analysis), refactor code for performance, and collaborate across teams to ensure secure, scalable solutions.

Lead design and implement scalable Azure full-stack solutions for Microsoft Skilling platforms. Build CI/CD, automation, observability, and Copilot/GenAI features; improve test automation and reliability; mentor engineers and coordinate cross-team dependencies to deliver secure, high-quality services at enterprise scale.