Top Infrastructure Engineer Jobs in San Francisco, CA

As a Staff Infrastructure Engineer, you'll define and drive strategies for cloud-based compute clusters, ensuring secure, reliable, and scalable infrastructure. Responsibilities include lifecycle management, collaborating with cross-functional teams, and mentoring engineers.

The role focuses on building and maintaining infrastructure for ML training. Responsibilities include API design, improving performance, and debugging across systems.

The intern will join the Design Verification Infrastructure team to develop and maintain the Verification Platform, enhancing design verification technologies through collaboration and software development in Scala and Python.

As a core engineer on the Web Infrastructure team, you will enhance Notion's web client performance and development speed by improving load times, interaction latency, and providing tooling for product engineers.

The Lead Voice Infrastructure Engineer will design and operate telephony services, improve core workflows, and enhance reliability within AI-driven communication systems.

The SRE/Infrastructure Engineer will manage Terraform and Kubernetes across cloud platforms, ensuring scalable infrastructure. Responsibilities include multi-cloud deployments, observability, and creating reusable components.

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.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Design, build, and operate scalable GPU/accelerator infrastructure for large-scale training and inference. Implement scheduling, storage, networking (RDMA/InfiniBand/NCCL), observability, fault tolerance, security, and developer tooling. Partner with ML teams for capacity planning, cost optimization, automation, and operational runbooks.

Design, build, and operate petabyte-scale data pipelines and storage for AI training and evaluation. Implement ingestion, cleaning, versioning, lineage, high-throughput loaders, labeling/active-learning workflows, privacy controls, observability, and cost/performance optimizations while collaborating with ML researchers.

Build, operate, and maintain research infrastructure (evaluation frameworks, RL training systems, experiment tracking, visualization). Develop scalable distributed pipelines, ensure reproducibility and observability, and partner with researchers and infrastructure teams to accelerate ML research and tooling adoption.

The Security Software Engineer will design and implement security controls for MongoDB Atlas, collaborating across engineering teams and ensuring adherence to high security standards.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Architect and build backend infrastructure for an AI-driven enterprise email platform. Design scalable distributed systems ingesting millions of messages/day, implement secure, compliance-ready and on-prem-capable systems, and serve as a hands-on senior engineer driving a zero-to-one product build.

As a Senior Backend Infrastructure Engineer, you'll develop systems that improve reliability and productivity for AI agent infrastructure, including deployment, observability, and data management.

As a Staff Frontend Infrastructure Engineer, you'll build tools and systems for frontend engineers, focusing on design systems, developer tooling, and code quality infrastructure.

The ML Infrastructure Engineer will develop and scale AI safety systems infrastructure, optimize machine learning pipelines, and ensure reliable system performance while collaborating with research teams.

The Principal Cloud Infrastructure Engineer will design, analyze, and maintain cloud infrastructure, ensuring compliance with security standards and integrating application development with IT infrastructure.

As a ML Platform & Infrastructure Engineer, you'll design CI/CD pipelines for ML workflows, build evaluation infrastructure, and develop SDKs and tools to enhance experimentation. You'll track and visualize model performance while optimizing resources.

The Senior Cloud Infrastructure Engineer will design, deploy, and manage AWS infrastructure focusing on enterprise networking, security, and reliability while supporting cloud migrations in a HIPAA-regulated environment.

As an Infrastructure Engineer, you will secure, scale, and maintain core infrastructure, collaborate across teams, and optimize machine learning workflows.

The Staff Infrastructure Engineer will shape technical direction, support critical systems, and enhance automation across infrastructure, ensuring reliability and best practices.

Lead product vision and multi-year strategy for developer infrastructure across the code lifecycle. Own roadmap for CI/CD, release automation, testing, deployments, and production readiness; drive migrations to simplify systems, measure quality with scorecards, partner with Engineering/SRE/Security, and integrate emerging (AI) capabilities to improve developer velocity and reliability.

Lead bring-up, administration, and operations of a large GPU/AI training cluster. Serve as bridge between researchers and hardware, ensuring SLURM jobs, parallel filesystems, networking, and monitoring operate reliably. Work across provisioning, storage, VPN/access, and traditional Linux sysadmin tasks; assist with physical racking and on-site datacenter needs. Collaborate closely with a small research team in Tokyo or San Francisco.