databricks
Senior Engineering Manager, AI Runtime
At a Glance
- Location
- Mountain View, California; San Francisco, California
- Experience
- 8+ years
- Posted
- 2026-04-01T16:25:25-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Government
- Regulatory
Benefits & Perks
e strive to provide comprehensive benefits and perks that meet the needs of all of
Requirements
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, DeepSpeed, Composer, Megatron-LM) and parallelism strategies (FSDP, tensor/pipeline parallelism).
Understanding of GPU performance fundamentals including NCCL, interconnect topologies, and memory optimization.
Experience building platform products with clear SLAs where you've owned the customer experience, not just the backend.
Strong cross-functional leadership across platform, product, and research teams, with the ability to lead through ambiguity and deliver complex projects.
Compensation & Benefits
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 packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page
here
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$228,600
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About the Company
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on
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