Director, AI Software Product Management
External job listingat Qualcomm
Direct Qualcomm’s AI Software product strategy for Windows AI platforms, AI PCs, ONNX Runtime, AI frameworks, Agentic AI, and heterogeneous compute.
Salary
Not provided
Location
San Diego, United States
Employment type
Full time
Workplace
Not provided
Director, AI Software Product Management
San Diego, United States
Job description
About the role
Qualcomm is seeking a member of the Product Management team to direct a comprehensive AI Software product strategy focused on Windows AI platforms, AI PCs, ONNX Runtime, AI frameworks, Agentic AI, and heterogeneous compute acceleration across CPU, GPU, and NPU architecture.
The role drives product conception, roadmap definition, ecosystem engagement, and execution through the product lifecycle, enabling AI experiences on Qualcomm platforms. The candidate will work with engineering, ecosystem partners, OEMs, ISVs, Microsoft, and strategic customers to define and deliver AI software capabilities for AI PCs and edge AI platforms.
Responsibilities
- Direct AI Software product strategy and define product roadmaps.
- Drive product conception, ecosystem engagement, and execution through the product lifecycle.
- Translate market requirements into software products and platform capabilities.
- Work with engineering, ecosystem partners, OEMs, ISVs, Microsoft, and strategic customers.
Requirements
- Strong understanding of AI inference software stacks, model deployment workflows, and optimization across CPU, GPU, and NPU accelerators.
- Deep understanding of ONNX Runtime, Windows ML, Windows AI platform architecture, and AI PC ecosystem requirements.
- Experience with PyTorch, ONNX, RoCm, Hugging Face, OpenVINO, TensorRT, CoreML, or comparable AI software frameworks.
- Strong knowledge of Generative AI, LLMs, multimodal AI, Agentic AI architectures, RAG systems, tool calling frameworks, and AI orchestration solutions.
- Understanding of compiler and runtime technologies, including MLIR, graph optimization, kernel fusion, quantization, model conversion, and hardware-aware optimization.
- Experience analyzing tradeoffs among performance, accuracy, latency, memory footprint, and power efficiency.
Key facts
- The role focuses on Windows AI platforms, AI PCs, ONNX Runtime, AI frameworks, Agentic AI, and heterogeneous compute acceleration.
- Requires understanding of AI inference software stacks, model deployment, and optimization across CPU, GPU, and NPU accelerators.
- Experience with AI software frameworks such as PyTorch, ONNX, RoCm, Hugging Face, OpenVINO, TensorRT, or CoreML is listed.
Frequently asked questions
What does this role involve?
It directs AI Software product strategy and drives product conception, roadmap definition, ecosystem engagement, and execution through the product lifecycle.
What technical expertise is preferred?
The listing calls for knowledge of AI inference software stacks, model deployment, ONNX Runtime, Windows AI platforms, AI frameworks, and heterogeneous compute optimization.
Which location is preferred?
San Diego, CA is preferred, or Santa Clara, CA.