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

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

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

Build end-to-end agent-powered tools and full-stack features using Typescript/Python. Integrate LLMs, vector databases, and agentic frameworks, develop reliable backend services, work with distributed systems and cloud architectures, and ship production solutions in tight experimentation loops with cross-functional partners.

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

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.

Lead enterprise AI integration efforts, developing custom AI solutions, deployment strategies, and ensuring client satisfaction through hands-on support and collaboration with customer teams.

The Platform PM defines the core platform needs, prioritizes work, oversees capability graduation, and ensures high-quality, reliable infrastructure for deployment across AI systems.

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.

The Forward Deployed AI Engineer will architect and implement AI solutions for enterprise customers, ensuring smooth integration and deployment of AI systems while collaborating closely with customer engineering teams and developing production-grade AI agents and data pipelines.