דרושים » AI » AI Runtime Team Lead

We are seeking an exceptional Director of AI Software to lead the full AI software stack that powers our next-generation accelerator platform. This executive-level role owns the strategy, architecture, and execution of all AI software components- including frameworks, compilers, runtime, kernels, developer tools, and end-to-end AI workloads.
You will lead multiple teams responsible for running state-of-the-art models (LLaMA, DeepSeek, diffusion, MoE and future generations of AI), building high-performance kernels, integrating industry frameworks, and delivering a developer-friendly stack to customers, which showcases and materializes the full potential of our hardware.
Responsibilities
Own the vision, roadmap, and execution of the full AI software stack (frameworks, compilers, runtime, kernels, tools).
Lead teams responsible for running and optimizing AI workloads
Deliver first-class support for PyTorch, Triton, IREE, CUDA-compatible flows, and emerging AI frameworks.
Oversee development of high-performance kernels (GEMM, attention, memory ops) and compiler optimizations.
Drive HW/SW co-design with silicon, architecture, and runtime teams to maximize performance and efficiency.
Ensure end-to-end product delivery, including SDKs, toolchains, developer experience, and documentation.
Own benchmarking, performance targets, and competitive analysis
Build, mentor, and scale a multi-disciplinary AI software organization.
Support bring-up, validation, and tuning of new hardware accelerator generations (pre-silicon and post-silicon).

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on our AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.
The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.
Responsibilities
Lead and mentor a team of AI application and performance engineers.
Run and optimize AI workloads (LLaMA, DeepSeek, etc.) and execute MLPerf benchmarks.
Analyze end-to-end performance and identify HW/SW bottlenecks.
Develop optimization strategies across models, kernels, frameworks, and runtime.
Build profiling, debugging, and validation tools for large-scale AI workloads.
Collaborate with hardware, compiler, and device software teams to improve performance.