Top Tech Jobs & Startup Jobs in San Francisco, CA

Develop and lead production AI infrastructure across frameworks, runtimes, benchmarking, performance tooling, observability, and hardware platforms. Responsibilities include optimizing large language model training and inference, building automation, diagnosing cross-stack performance issues, defining technical architecture, driving platform improvements, collaborating across research and infrastructure teams, and mentoring engineers. The role spans senior and principal-level individual contributor responsibilities focused on scalable, reliable, and efficient AI systems.

Lead architecture and hands-on implementation for AI frameworks, performance systems, benchmarking, compilers, runtimes, and developer tools. Drive cross-team initiatives that improve LLM onboarding, inference performance, reliability, hardware utilization, and Azure capacity efficiency. Conduct complex systems investigations, establish scalable measurement and observability, influence technical strategy, mentor engineers, and deliver reusable production platforms across models, infrastructure, and silicon.

Own end-to-end data science and AI projects, translating business needs into predictive, prescriptive, and generative AI solutions. Responsibilities include data preparation, model development and deployment, prompt engineering, fine-tuning and evaluation of large language models, stakeholder communication, consulting, responsible AI practices, and documenting best practices.

Leads Microsoft Security consulting delivery for U.S. federal defense customers, overseeing complex engagement portfolios, delivery quality, financial performance, risk, customer relationships, team development, resource alignment, business growth, and continuous improvement. The role requires executive stakeholder management, consulting and delivery leadership, people and sales management, and an active TS clearance with eligibility to maintain or upgrade to TS/SCI with polygraph.

Leads Microsoft’s global Vendor Digital Sales strategy for the Americas SMB market, owning revenue accountability, forecasting, business planning, partner co-selling, pipeline management, digital campaigns, and cross-functional execution. The role drives customer acquisition, upsell, and cloud expansion while promoting Frontier Transformation and Agentic AI adoption. It also provides sales governance, performance monitoring, stakeholder alignment, market advocacy, and strategic leadership across SMB, sales operations, channel partners, solution areas, and customer lifecycle teams.

Develop and optimize GPU kernels, compilers, runtimes, and distributed inference systems for high-performance LLM serving. Profile workloads, improve latency, throughput, reliability, and hardware efficiency, and integrate optimizations into production systems. Principal-level engineers lead cross-stack performance initiatives and create reusable capabilities across models and hardware. The role also involves collaboration across model, infrastructure, research, and hardware teams, technical mentoring, and raising engineering standards.

Provide legal counsel to Microsoft product and engineering teams on online safety, child safety, harmful content, AI experiences, and regulatory compliance. Advise on emerging regulations, support regulatory engagement, manage cross-functional legal projects, collaborate with internal and external stakeholders, and deliver practical legal solutions in a fast-paced, matrixed environment.

Sources and attracts talent for high-volume commercial hiring, develops creative recruiting strategies, advises hiring stakeholders, analyzes talent-market data, engages passive candidates, supports candidate experience, and ensures compliant, accurate recruiting processes under OFCCP and GDPR guidelines.

Leads enterprise cyber defense incident and vulnerability response, assessing scope, urgency, and risk; coordinating defenders; making tactical remediation decisions; tracking incidents through resolution; communicating with executives and customers; and producing security analysis, reports, and threat landscape briefs.

Design, implement, test, and operate production AI framework, runtime, benchmarking, performance, automation, observability, and developer-tooling components. Benchmark and optimize large language model training and inference across GPUs and Microsoft hardware. Diagnose cross-stack performance and reliability issues, drive projects through production deployment, collaborate with research, infrastructure, model, and hardware teams, and mentor engineers.