Top Engineering Jobs in San Francisco, CA

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

As a Software Engineer at Deepgram for Restaurants, you'll design and maintain scalable backend systems for automated ordering, integrating AI models, optimizing performance, and ensuring smooth interactions with restaurant software.

As a Solutions Architect at Deepgram, you will engage with customers, solve technical issues, enhance support solutions, and develop automation processes.

The Pre-Sales Solutions Engineer will engage in technical pre-sales activities, integrating AI solutions with customer needs, and facilitating technical sales processes.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead the developer experience roadmap and own multi-language SDKs and the code-generation pipeline. Design CI, release automation, observability, and tooling (CLI, starter repos). Improve cross-language parity, docs, and developer onboarding; remove systemic friction and represent DX to Product, Engineering, and Partnerships.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Lead the edge deployment strategy for Deepgram's speech AI models, optimizing for performance on constrained hardware and collaborating with partners like Qualcomm to deliver secure solutions for defense customers.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.