Top Engineering Jobs in San Francisco, CA

Design and develop low-level platform software, drivers, firmware interfaces, telemetry, diagnostics, and power/performance solutions. Lead architecture, mentor engineers, integrate logging/telemetry, apply root-cause analysis, and drive engineering best practices and AI-enabled development across hardware and Windows ecosystems.

Lead engineering-driven growth by designing, shipping, and scaling experimentation and A/B testing frameworks for high-traffic AI products. Partner with product, data science, design, and research to turn hypotheses into measured rollouts, improve experimentation quality, and scale successful patterns across global AI services.

Design, implement, and debug low-level software for Azure HPC/AI VMs, focusing on hardware/software interactions, device virtualization, and GPU workload performance. Drive architecture, collaborate with partners, own reliability as an on-call DRI, and develop operational playbooks to improve stability and performance.

Design, implement, and optimize high-performance, low-latency networking infrastructure for large-scale AI training on Azure. Benchmark, debug, and scale networking systems for petabyte-scale transfers, create design documents, write and refactor code, act as DRI for services, participate in on-call monitoring, and improve observability and reliability for distributed AI workloads.

Design, build, and operate a massively scalable Azure usage billing platform. Own full lifecycle engineering including design, test strategy, SRE/on-call, monitoring, CI/CD, deployment, and long-term sustainment. Develop distributed, resilient systems, service management, usage pipelines, SDKs, observability, and tooling to ensure accurate billing and reliability at cloud scale.

Design, build, and maintain highly available Azure Compute control-plane services that monitor and repair millions of VMs. Lead design and architecture, write high-quality code, onboard and mentor engineers, serve as on-call DRI, and collaborate with data scientists to integrate AI/ML and generative AI for predictive failure detection, diagnostics, and automated incident resolution.

Lead design and delivery of cloud-based solutions, partner with stakeholders and customers, produce extensible maintainable code, mentor engineers, act as DRI and on-call owner, improve reliability, observability, performance, and contribute to open-source and cross-product integration.

Design, build, test, deploy, and operate scalable, secure software services and automation for Azure networking. Serve as DRI, monitor and troubleshoot production incidents, drive reliability and cost/performance improvements, collaborate on architecture and requirements, mentor engineers, and champion security and compliance.

Microsoft software engineering role listing typical base pay ranges for IC3 and IC4 levels. Position accepts applications until filled; Microsoft is an equal opportunity employer and provides accommodation information. Specific technical responsibilities are not listed in this posting.

Provide technical leadership for telecommunications infrastructure across AMER datacenter and campus projects. Lead OSP, structured cabling, fiber distribution, pathway planning, design reviews, A/E coordination, construction support, risk mitigation, standards development, and mentor telecom engineers to ensure scalable, resilient, and constructible telecom solutions.