San Francisco · Hybrid
A well-funded AI infrastructure company is building next-generation multimodal foundation models and a high-efficiency serving platform. With deep industry backing and close collaboration with hardware partners, the team is scaling rapidly to deliver the full stack powering real-time, production-grade AI applications.
This role focuses on building the core backend systems that power large-scale AI model serving. You will work across C++, Python, runtime execution, and distributed infrastructure to create a fast, reliable platform for deploying and operating multimodal AI models in production.
You’ll collaborate closely with ML researchers and systems engineers, gain hands-on exposure to performance engineering, and help optimize how large AI models are deployed and served at scale. This role is ideal for engineers who care deeply about performance, reliability, and low-level systems work while wanting exposure to the full AI stack.
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Posted 8 months ago
San Francisco
A well-funded AI infrastructure company is building next-generation multimodal foundation models and a high-efficiency serving platform. With deep industry backing and close collaboration with hardware partners, the team is scaling rapidly to deliver the full stack powering real-time AI applications and developer-facing platforms.
This role is with a rapidly growing, venture-backed AI software company building an intelligent operating layer for complex, integration-heavy enterprises. The platform helps organizations plan, deploy, and optimize their teams through advanced analytics, automation, and AI-driven workflows. The company works in real-world, security-constrained environments—including hybrid, on-prem, and restricted systems—and is focused on shipping durable, production-grade enterprise software.
Overview This role is with a well-funded AI infrastructure company building next-generation multimodal models and a high-performance model serving platform. The team is scaling rapidly to deliver production-grade systems that power real-time AI applications, working closely across research, systems, and infrastructure. About the Role This is a rare opportunity to help architect and lead the development of a next-generation model serving platform—the core engine that brings highly efficient multimodal foundation models into production. As a senior technical leader, you will both build critical components yourself and guide other engineers, shaping architectural decisions, engineering standards, and execution quality. You’ll work across the full AI stack, from GPU execution and optimized runtimes to distributed serving, scheduling, and APIs that power low-latency, real-time inference. This role is ideal for engineers who enjoy deep systems work, thrive on ownership, and want to lead the development of foundational AI infrastructure. Equal Opportunity This employer is an equal opportunity organization. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Compensation: $230K–$300K base + equity
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