Top Tech Jobs & Startup Jobs in San Francisco, CA

Work with researchers and engineers to implement and optimize generative AI inference systems. Build tools for debugging performance, profiling, distributed systems, and improve compute efficiency across large heterogeneous GPU fleets. Deliver end-to-end solutions and processes to accelerate research and production inference.

Lead executive-level Windows and device platform sales engagements to defend and expand Windows adoption. Advise CIO/CTO/CISO on endpoint strategy, modernize device management and identity, orchestrate partners and internal teams, deliver proofs and measurable AI/security outcomes, and translate wins into repeatable best practices and reference assets.

Design and build large-scale evaluation infrastructure for generative AI on GPU supercomputers. Collaborate with model scientists to implement evaluation methods, benchmark GPU clusters, tune pretraining software for Nvidia and AMD architectures, and drive compute roadmap and architectural improvements to support Copilot and other consumer AI products.

Build and optimize distributed pre-training infrastructure for large-scale GPU clusters: implement and tune training software in Python/C++, profile and benchmark compute/storage/networking, optimize collective communication (NCCL), collaborate with hardware teams, and scale training pipelines to support frontier AI models and products like Copilot.

Customer-facing Cloud Solution Architect driving AI transformation with Microsoft Copilot (Chat, Agents, M365). Advise customers, design architectures, enable adoption, build agentic AI solutions, collaborate with sales and technical teams, and create reusable IP to accelerate business value and sustained usage.

Design, build, and operate infrastructure for Azure Red Hat OpenShift hosted control planes. Automate cluster management, regional buildouts, CI/CD, monitoring, and releases. Collaborate with Microsoft and Red Hat to deliver scalable, secure, cloud-native solutions and improve AKS/ARO operations and tooling.

Lead a cross-discipline engineering team delivering cloud-based solutions; provide portfolio and delivery leadership; coach software engineers, technical program managers, and data scientists; act as a player‑coach on selected engagements; drive engineering excellence, reusable patterns, and responsible AI adoption; collaborate with product teams, partners, and customers to build high-impact, open-source solution assets.

Lead a U.S.-based team of Security Operations Engineers and TPMs to design, build, and operationalize identity protections that reduce lateral-movement risk. Define strategy, apply AI and automation, partner cross-functionally to translate requirements into scalable controls, and drive operational excellence, hiring, and stakeholder communication.

Manage and coach a multidisciplinary engineering team (software, TPM, data science) to deliver cloud and AI-forward customer solutions, act as player‑coach on engagements, drive portfolio and delivery leadership, promote engineering best practices, responsible AI, reusable patterns, and cross‑discipline collaboration.

Lead a cross‑discipline engineering team (software, TPM, data science) to deliver customer cloud solutions, coach talent, manage a portfolio of engagements, model engineering excellence, and promote AI-forward, reusable solution patterns and responsible practices.