Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

Lead and execute the infrastructure roadmap for enterprise AI deployments. Design and operate scalable, secure, high-availability platforms, set SLAs/SLOs, manage and mentor an infrastructure engineering team, build backend services for AI-driven applications, improve developer velocity through tooling and automation, and partner with product, security, and customer teams to ensure production readiness and operational excellence.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

The Technical Lead Manager will build and optimize Scale's ML training and inference platform, collaborating with ML teams to advance model and data curation technologies.

Solutions Engineers at Scale engage with customers to deliver tailored demos and prototypes, develop technical expertise in Generative AI, and manage project scopes for enterprise use cases, ensuring successful technical implementation and customer satisfaction.

Design and maintain robust systems for the GenAI pipeline, implement features using modern technologies, and ensure high quality and reliability of data operations.

Lead the design and development of core data storage, streaming, and indexing platforms while collaborating with cross-functional teams to deliver new features and improve processes.

The Forward Deployed Engineer will deliver critical data solutions, collaborate with customers, and lead projects in Generative AI, impacting both private and public sectors.

As a Software Engineer for the ARC team, you'll design and implement secure backend systems, manage model inference layers, improve engineering standards, and collaborate with teams to meet government agency needs.

The Principal Solutions Engineer drives AI adoption through technical strategy and cross-functional collaboration, influencing product direction and mentoring peers.