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Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer (AI): Building and optimizing high-scale LLM inference infrastructure for enterprise customers with an accent on reliability, latency, and efficiency. Focus on distributed AI workloads, GPU orchestration, and developing seamless end-to-end model serving experiences.
Location: San Francisco, California
Salary: $190,000 — $265,000 USD
Company
Databricks is a data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
Build LLM infrastructure powering large-scale inference workloads using both partner and self-hosted models.
Improve the reliability, latency, and efficiency of distributed AI workloads.
Collaborate with platform, infrastructure, and ML teams to deliver seamless end-to-end experiences.
Shape how developers and data scientists build and interact with AI on the Databricks platform.
Requirements
8+ years of experience in backend or infrastructure engineering.
Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
Experience with real-time serving, ML infrastructure, or GPU orchestration.
Familiarity with service-oriented architecture, deployment pipelines, and system observability.
Nice to have
Exposure to platforms like SageMaker, Vertex AI, or Azure ML.
Contributions to OSS projects such as MLflow, PyTorch, Ray, vLLM, or SGLang.
Experience building developer platforms or internal tools supporting AI workflows.
Culture & Benefits
High-agency, high-visibility team operating at the frontier of AI infrastructure.
Engineering-led culture focused on solving the world's toughest technical challenges.
Comprehensive benefits and perks tailored to employee needs across different regions.
Strong commitment to diversity, inclusion, and equal opportunity employment.
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