обновлено 17 дней назад
Staff Software Engineer, Foundation Model Inference (AI Engineering)
15 833 - 22 083$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Foundation Model Inference (AI Engineering): Building and scaling the unified serving layer for large language models (FMAPI) across real-time and batch inference with an accent on distributed AI workloads and GPU orchestration. Focus on improving reliability, latency, and efficiency of LLM infrastructure to power enterprise-scale AI applications.
Location: San Francisco, California
Salary: $190,000 — $265,000 USD
Company
Databricks is the 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 for large-scale inference using partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama).
- Shape the FMAPI product roadmap and execution through direct engagement with enterprise users and model providers.
- Optimize the reliability, latency, and efficiency of distributed AI workloads.
- Collaborate with platform, infrastructure, and ML teams to deliver seamless end-to-end experiences.
- Design how developers and data scientists build and interact with AI on the Databricks platform.
Requirements
- 8+ years of experience in backend or infrastructure engineering.
- Expertise in distributed systems, scalable APIs, or cloud-native infrastructure.
- Strong programming skills in Scala, Go, or Python.
- Experience with real-time serving, ML infrastructure, or GPU orchestration.
- Strong product ownership mindset with a focus on shipping user-facing value.
- Must be based in San Francisco, California.
Nice to have
- Exposure to platforms like SageMaker, Vertex AI, or Azure ML.
- Experience building products that support AI workflows.
Culture & Benefits
- Opportunity to work in a high-agency, high-visibility team at the frontier of AI infrastructure.
- Inclusive culture committed to diversity and equal employment opportunity standards.
- Comprehensive benefits and perks tailored to the employee's region.
- Work on a platform used by over 50% of the Fortune 500.
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