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Tier-1 employer and metro location increase competition; seniority and AI specialization moderately limit applicant pool.
Requires deep AI, platform, and systems experience, making skills less transferable outside similar tech ecosystems.
Mandatory 8+ years and deep AI/platform program experience create stringent screening for candidates.
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Lead end-to-end execution of Windows Client AI software platform roadmap across global engineering teams ensuring alignment and predictable delivery.
Drive cross-functional programs impacting AI frameworks, inference runtimes, model optimization, Windows integration, SDKs, and AI applications from concept to release.
Collaborate with internal teams and external partners like Microsoft, OEMs, and ISVs to enable AI capabilities on NVIDIA client platforms and communicate status to leadership.
BS/MS in Computer Science, Computer Engineering, or equivalent experience.
8+ years leading complex technical programs in software engineering, AI/ML infrastructure, developer platforms, or systems software.
Strong understanding of modern AI software stacks including deep learning frameworks, inference engines, and AI developer workflows.
Not explicitly mentioned: Notice period requirement.
Experienced in managing large-scale software programs involving AI frameworks, inference technologies, and AI developer tools with measurable outcomes.
Technical depth with understanding or experience involving technologies such as TensorRT, vLLM, PyTorch, ONNX Runtime, DirectML, LLMs, multimodal AI, or GPU acceleration.
Effective cross-functional collaborator able to influence engineering decisions and work with partners like Microsoft, OEMs, ISVs, and NVIDIA internal teams on Windows AI platform.