Senior Director, Product Management - Data Center AI Software Stack

Qualcomm-posted 4 days ago
Full-time • Director
Onsite • San Diego, CA
5,001-10,000 employees
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Join Qualcomm's Data Center Business Unit as a Senior Director of Product Management, where you will own and advance our end-to-end AI software stack for next-generation data centers. You'll shape products spanning orchestration, frameworks, compilers, runtimes, and observability—enabling hyperscale and enterprise customers to deploy and scale AI training and inference at cloud scale.

  • Define and drive the product vision and roadmap for AI data center software, including: - Container orchestration and cluster scheduling (Kubernetes, Slurm, Yarn) - AI frameworks and model runtimes (TensorFlow, PyTorch, ONNX Runtime, custom accelerators) - Compiler toolchains and performance optimizers (XLA, TVM, MLIR) - Telemetry, profiling, and observability stacks (Prometheus, Jaeger, custom agents)
  • Lead cross-functional teams of software architects, engineers, DevOps, and QA to deliver integrated solutions that maximize performance-per-watt and utilization of Qualcomm AI accelerators.
  • Conduct deep market and technical analysis to identify trends in model parallelism, inference pipelines, and MLOps—translating findings into product requirements.
  • Partner with hyperscale cloud providers, OEMs, and system integrators to co-develop reference architectures, PoCs, and early deployments, ensuring smooth integration into customer environments.
  • Collaborate with silicon and firmware teams to align hardware capabilities with software features, driving end-to-end optimizations and SDK/tool support.
  • Drive go-to-market planning in partnership with marketing and sales: develop competitive positioning, pricing, reference designs, and enablement programs.
  • Mentor and build a high-impact product management organization, fostering a data-driven culture and technical rigor
  • Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
  • 10+ years of Product Management or related work experience.
  • Ph.D. or equivalent experience in systems, compilers, or machine learning systems.
  • Hands-on experience with MLOps platforms, model registries, CI/CD pipelines for AI workloads.
  • Contributions to open-source AI or orchestration projects (e.g., Kubernetes SIG-AI, ONNX).
  • Familiarity with emerging trends: serverless inference, disaggregated architectures, DPUs, edge-to-cloud AI pipelines.
  • 10+ years of product management experience, including 5+ years focused on AI infrastructure software.
  • Deep technical expertise in AI frameworks, orchestration platforms, compiler stacks, and observability tools.
  • Proven track record launching complex software products that integrate closely with custom silicon.
  • Strong understanding of distributed systems, cloud-native architectures, GPU/accelerator virtualization, and performance tuning.
  • Excellent analytical skills, financial modeling, and competitive benchmarking capabilities.
  • Outstanding communication and storytelling skills, able to translate technical detail into strategic business impact.
  • competitive annual discretionary bonus program
  • opportunity for annual RSU grants
  • highly competitive benefits package
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