FDE jobs in the San Francisco Bay Area

The San Francisco Bay Area filter brings together FDE and deployment postings across frontier-model, enterprise AI, and physical-AI work. Start with the live list below, then compare the actual customer, production, and technical responsibilities in each posting.

What the Bay Area postings show

The filter represents the Bay Area as a metro region. It does not mean that every job is in San Francisco, and the number of listings is not the number of employers, hires, or candidates. Treat the live list as a set of postings that can change.

Several listings connect customer discovery with production engineering. Google’s GenAI FDE posting describes shipping agentic AI applications, integrating Google AI products with customer infrastructure and security boundaries, and turning field patterns into reusable modules and product requests. The posting also names generative-media technologies, so its requirements are narrower than a generic software-engineering role.

The list also includes roles with different deployment settings. Nebius’s Physical AI FDE posting focuses on cloud infrastructure for physical-AI workloads, including scheduling, observability, access control, and cost tracking. It asks for backend, platform, or SRE experience as well as customer-facing or deployment work. A Bay Area search therefore needs more than a title match. Read what the role owns after the customer conversation.

How to read the list

Separate the employer’s stated location and work arrangement from assumptions about the wider Bay Area. Check the required experience, coding languages, deployment stage, travel language, and salary for each job. If a posting does not say whether travel or sponsorship applies, leave that question open for the employer.

The FDE salary data can provide compensation context. Use its salary observations to compare locations and levels.