Staff Software Engineer - GenAI Performance and Kernel
Databricks · Engineering - Pipeline
- Location
- San Francisco, California
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Unspecified
- Pay
- $191K–$233K/yr (estimated from posting text)
- Posted
- 13 months ago
- Source
- Greenhouse
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What the posting covers
About This Role
P-1285 About This Role: As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of…
What You Will Do
Lead the design, implementation, benchmarking, and maintenance of core compute kernels (e.g. attention, MLP, softmax, layernorm, memory management) optimized for various hardware backends (GPU, accelerators) Drive the performance roadmap for kernel-level…
What We Look For
BS/MS/PhD in Computer Science, or a related field Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads Strong knowledge of GPU/accelerator architecture: warp structure, memory…
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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