AI Software Director at NextSilicon

Givatayim, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Systems, GPU/Accelerator Software, ML Frameworks, PyTorch Internals, Triton, IREE, XLA, ONNX, Performance Engineering, Kernels, Dataflow Architectures, Heterogeneous Compute, Customer Deployments, SDK Delivery, Developer Ecosystems, High-Performance Engineering

Industry

Computer Hardware Manufacturing

Description

NextSilicon is reimagining High-Performance Computing (HPC) and Artificial Intelligence (AI). Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. We have developed a novel software-defined hardware architecture that is achieving significant advancements in both the HPC and AI domains. At NextSilicon, everything we do is guided by three core values: Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance. Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard. Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide. 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. Requirements Bachelor’s or Master’s degree and/or equivalent experience in computer science or a related field. 5+ years in AI/ML systems, GPU/accelerator software, or ML frameworks. 10+ years managing multiple teams or leading large AI software efforts. Deep expertise in PyTorch internals, Triton, IREE, XLA, ONNX, or similar AI compiler stacks. Strong background in kernels (GEMM, attention), performance engineering, and accelerator bring-up. Proven ability to deliver production-grade AI software stacks on new hardware. Knowledge of dataflow architectures, or heterogeneous compute is an advantage. Experience with customer deployments, SDK delivery, and developer ecosystems. Track record of founding or scaling high-performance engineering organizations. 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).

Responsibilities

Own the vision, roadmap, and execution of the full AI software stack, including frameworks, compilers, and tools. Lead teams responsible for optimizing AI workloads and ensure end-to-end product delivery.