AI Platforms Leader Enterprise AI Platforms

Qualcomm

Actively hiring
San Diego, CA Posted 77 days ago $198,500–$297,700 / year
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At a glance

AI generated

TL;DR

Qualcomm is hiring an AI Platforms Leader to oversee the strategy, architecture, and operation of its comprehensive end-to-end AI Platform, encompassing both on-prem GPU clusters and cloud services across AWS, GCP, and Azure. This role involves leading a high-caliber engineering team in delivering reliable and cost-efficient infrastructure for training, fine-tuning, inference, retrieval, and agentic orchestration using MCP servers. Key responsibilities include defining the multi-year vision for a hybrid AI platform, optimizing GPU-based compute at scale, implementing MLOps and LLMOps as products, and ensuring operational excellence with robust DevOps practices such as GitOps and IaC (Terraform/Bicep/Helm). The ideal candidate has extensive experience in building large-scale platforms, leading engineering teams, and hands-on expertise with GPU clusters, Kubernetes, and cloud AI/ML services. Knowledge of tools like PyTorch, Triton Inference Server, and MCP is preferred, along with a strong background in MLOps, security, and global collaboration.

Skills

AWS Azure GCP Kubernetes MLOps LLMOps CI/CD Terraform GitOps IaC Docker Prometheus Grafana MCP Slurm PyTorch CUDA cuDNN Triton_Inference_Server vLLM KServe Ray MLflow Vertex SageMaker Airflow Argo Weights_and_Biases LangSmith OIDC RBAC OPA AWS_Secrets_Manager Azure_Key_Vault FAISS Milvus Pinecone Feast

What you'll do

  • Own the multi-year vision for a hybrid AI platform, aligning to business needs, developer productivity, and cost efficiency.
  • Operate and optimize on-prem GPU clusters for high-throughput storage and networking.
  • Deliver MLOps and LLMOps as self-service product capabilities with CI/CD automation.
  • Design and operate agentic orchestration systems and MCP servers for secure enterprise tool integration.
  • Establish multi-cloud patterns for AI/ML platforms, ensuring portability and resilience across AWS/GCP/Azure.
  • Lead a global engineering team in platform services development and DevOps excellence practices.

What we're looking for

  • 15+ years of engineering/technology experience with ~10 years in large-scale platform operations.
  • Proven leadership in managing a team of ~10 engineers for at least 5 years.
  • Expertise in operating on-prem GPU clusters and optimizing performance and reliability.
  • Extensive experience in MLOps, including model lifecycle management and observability.
  • Deep knowledge of cloud AI/ML services and managed Kubernetes across AWS/GCP/Azure.
  • Strong background in DevOps practices, including CI/CD, GitOps, IaC, and secure SDLC.

Market check

Salary context

This $198,500–$297,700 range sits above 80% of similar postings on FindRole.

Peer median band

$172,000–$257,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$168,000–$246,150

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 595 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.

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View all roles at Qualcomm

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