Senior Engineer, AI Platforms and Solutions
Qualcomm
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Market check
How this pay compares to similar roles
This role pays more than 75% of similar roles. Most pay $167,975–$247,300 — the shaded band above. At the midpoint, this role pays about $248k versus about $208k for comparable roles.
Based on 239 similar postings.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 623 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.
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At a glance
AI Platforms Leader Enterprise AI Platforms leads a high-caliber engineering team to oversee the strategy, architecture, and operation of an end-to-end AI Platform. This role involves managing multi-tenant, hybrid infrastructure spanning on-prem GPU clusters and cloud services across AWS, GCP, and Azure. The leader will build robust, self-service capabilities for training, fine-tuning, inference, and agentic orchestration, including A2A patterns and MCP servers. Key responsibilities include optimizing GPU utilization via Kubernetes or Slurm, implementing MLOps and LLMOps pipelines, and managing core services like vector stores, feature stores, and model gateways. Technical requirements include proficiency in Python, C++, and C, alongside experience with PyTorch, CUDA, Triton, vLLM, and KServe. The role solves the challenge of providing secure, cost-efficient infrastructure for internal builders while ensuring high availability through GitOps, IaC tools like Terraform, and comprehensive security guardrails.
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