Job Description
**Responsibilities:**
- **Build and lead a high-performing team**focused on developer productivity for the Inference organization, hiring engineers who combine infrastructure expertise with a service-oriented mindset
- **Own accelerator toolchain management**across GPU (CUDA), TPU, and Trainium platformskeeping compilers, drivers, libraries, and frameworks current, compatible, and well-tested so that Inference engineers can focus on model serving rather than environment issues
- **Build infrastructure for efficient accelerator usage**during developmentincluding devbox environments, automation for pre- and post-landing validation, and shared tooling that reduces the friction of working across heterogeneous hardware
- **Establish and drive productivity metrics**across the Inference org, creating dashboards, alerts, and processes that surface slowdowns early (e.g., smoke tests red for extended periods, build times regressing, toolchain breakages) and ensure...
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