Top Engineering Jobs in San Francisco, CA

Design and scale ultra-low-latency Ethernet and InfiniBand fabrics for hyperscale AI training. Engineer ROCE transport, congestion control (ECN/WRED/DCTCP), telemetry, routing, and observability; bring up clusters, benchmark AI workloads, debug performance, and collaborate with silicon and datacenter partners to deploy large-scale AI infrastructure.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, apply engineering best practices (CI/CD, testing, observability), and deliver end-to-end solutions. Lead technical workstreams, collaborate across disciplines, and apply AI/LLM techniques to production deployments while ensuring security, quality, and maintainability.

Lead investigation and analysis of large-scale distributed storage systems, identify bottlenecks and load concentration, design algorithms to improve availability and efficiency, debug faults across stacks, collaborate cross-team, mentor engineers, act as a DRI and on-call responder, and improve observability and performance for Azure Managed Disks at hyperscale.

Design, implement, and operate large-scale distributed storage and metadata services for Azure. Define architecture, write production code, break down work, estimate tasks, participate on-call monitoring and incident response, and improve service reliability, performance, and observability.

Design and implement scalable, durable distributed storage services for Azure Archive Storage. Collaborate with hardware and firmware teams, lead design and feature implementation, mentor engineers, act as DRI and on-call owner, and improve service availability, reliability, performance, and observability at cloud scale.

Lead development and scaling of Azure Networking IP, reference architectures, and migration frameworks. Advocate product requirements to engineering, support large-scale migrations and hybrid connectivity, enable field and partners through training and workshops, and resolve complex customer networking challenges to drive Azure adoption and resiliency.

Design and implement software to onboard hardware accelerators and improve storage cluster performance. Collaborate across teams, drive designs, write and optimize C/C++ code, act as DRI, monitor and operate services, perform performance tuning, and support full software lifecycle including scaling, RCA, and observability.

Lead technical pre-sales engagements to design secure, scalable, sovereign Azure architectures for Frontier AI transformation. Drive migrations (Windows, Linux, Oracle), hybrid networking, PoCs, pilots, and modernization using containerization and Azure-native services to enable production deployments and compliance.

Design, build, and operate telemetry and data pipelines to monitor flagship supercomputers at scale. Troubleshoot and mitigate incidents, improve observability and runbooks, author postmortems, and implement systemic solutions to improve availability, reliability, and performance for HPC and AI infrastructure.

Define and standardize next-generation GPU programming capabilities for Direct3D and HLSL. Collaborate with GPU vendors and standards bodies, design and ship new graphics and compute features, and analyze and optimize workloads across modern GPU architectures.