Sr. Engineering Manager, AI Runtime
Databricks · Executive Engineering - Pipeline
- Location
- Mountain View, California; San Francisco, California
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Senior
- Type
- Unspecified
- Pay
- $229K–$297K/yr (estimated from posting text)
- Posted
- 4 months ago
- Source
- Greenhouse
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What the posting covers
About the company
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's…
The impact you will have
Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure, including distributed training orchestration, cluster lifecycle, fault tolerance, and training efficiency. Define and…
What we look for
8+ years of software engineering experience, with 3+ years in engineering management. Track record building and operating managed GPU training infrastructure at scale (100s/1000s GPUs). Deep familiarity with distributed training frameworks (PyTorch,…
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation…
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps,…
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on…
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