Senior Director of Engineering, AI Platform

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$281,600–$422,400 / yr
Posted
8 days ago
Freshness
Confirmed live today
Closes
Apr 25, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $232k
This role $352k
$145k $452k
below market most similar roles pay here above market

This role pays more than 97% of similar roles. Most pay $186,025–$277,625 — the blue band above. At the midpoint, this role pays about $352k versus about $232k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 580 open roles on FindRole.

Listed pay typically runs $147,900–$218,400 across 557 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Senior Director of Engineering, AI Platform

JOB TITLE: Senior Director of Engineering - AI Platform The Senior Director of Engineering - AI Platform leads a global organization within the Machine Learning Engineering group to drive the AI software strategy for Snapdragon Compute platforms. This leader oversees AI systems, model enablement, and software integration across Windows, Android, and Linux PCs. Key responsibilities include defining technical roadmaps for generative AI, multimodal AI, and agentic AI, while managing co-engineering engagements with Microsoft and various OEMs. The role involves optimizing AI workloads across NPU, GPU, and CPU architectures, ensuring high performance for large language models and computer vision. Required expertise includes proficiency in machine learning frameworks like TensorFlow, PyTorch, and Keras, alongside programming languages such as Python, C, and C++. The position solves complex problems in on-device AI performance, power efficiency, and memory utilization.

What you'll do

  • Define and execute the AI software strategy for Snapdragon platforms across Windows, Android, and Linux.
  • Lead co-engineering activities with Microsoft on WinML, ONNX Runtime, Copilot+, and next-generation Windows AI capabilities.
  • Drive the optimization of AI workloads across NPU, GPU, and CPU heterogeneous compute architectures.
  • Oversee the onboarding, quantization, and deployment of generative AI, multimodal, and large language models.
  • Establish benchmarking strategies and performance targets to ensure leadership in industry AI benchmarks.
  • Build and lead a global engineering organization responsible for AI systems, model enablement, and software integration.
  • Manage cross-functional dependencies between silicon, firmware, drivers, operating systems, and developer tools.
  • Ensure the timely delivery of AI features aligned with product milestones and customer commitments.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 10+ years of Hardware, Software, or Systems Engineering experience.
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 9+ years of Hardware, Software, or Systems Engineering experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware, Software, or Systems Engineering experience.
  • 5+ years of experience with Machine Learning frameworks such as TensorFlow, Caffe, PyTorch, or Keras (preferred).
  • 5+ years of experience with low-level interactions between operating systems (Linux, Android, QNX) and hardware (preferred).
  • 5+ years of experience in embedded system development and optimization for ML domains like NLP or multi-media (preferred).
  • 10+ years of experience with programming languages suitable for machine learning such as Python, R, C, or C++ (preferred).
  • 8+ years of experience using statistics and probability, such as conditional probability and Bayes rule (preferred).

More like this

Similar roles

Embedded ML SW Architect

Qualcomm

San Diego, CA 17 days ago $234,800–$352,200
Embedded ML LLM SLM C C++ Python TensorFlow PyTorch Android Computer Vision Generative AI NPU GPU CPU KV-cache Sensor Fusion Agile Version Control TypeScript Java Kotlin
8+ yrs exp

Principal Software Engineer, AI Software Automotive Lead

Qualcomm

San Diego, CA 48 days ago $223,600–$335,400
C/C++ Python PyTorch TensorFlow ONNX JAX QNX Android Automotive Linux AUTOSAR ISO 26262 ASPICE ISO/SAE 21434 QNN SNPE QAIRT Genie CNNs Transformers Quantization Pruning Git Agile Embedded Systems Distributed Systems
8+ yrs exp

Embedded ML Staff Engineer

Qualcomm

San Diego, CA 17 days ago $223,600–$335,400
Embedded ML LLM SLM Python C++ C PyTorch TensorFlow Computer Vision Generative AI NPU GPU CPU Android Framework KV-cache Sensor Fusion Version Control Agile HBM LPDDR
8+ yrs exp

Senior Director, AI Engineering, Agentic AI Platform

Capital One Financial

Remote (San Jose, CA) 56 days ago
LLM Inference VectorDBs PyTorch AWS Huggingface Nemo Guardrails Similarity Search Machine Learning AI Engineering Model Evaluation Observability Guardrails Foundation Model Training SaaS AI Technologies
10+ yrs exp Remote