Datacenter AI Systems and Solutions Engineer, Sr Staff

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$162,600–$244,000 / yr
Posted
5 days ago
Closes
Dec 7, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $203k
$145k most similar roles pay here $255k

This role pays more than 51% of similar roles. Most pay $155,900–$236,037 — the shaded band above. At the midpoint, this role pays about $203k versus about $196k 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 749 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Datacenter AI Systems and Solutions Engineer, Sr Staff

As a Qualcomm Datacenter AI Systems and Solutions Engineer at Qualcomm Technologies, Inc., you will lead the development of end-to-end AI/ML solutions that integrate Qualcomm’s AI hardware with system software and ecosystem components to deliver best-in-class performance, power efficiency, and scalability. Your day-to-day responsibilities include driving the design, deployment, and optimization of Generative AI applications, contributing to model fine-tuning strategies, and collaborating across cross-functional teams to ensure high-quality execution. You will leverage Python, ML frameworks, microservice-based architecture, Kubernetes, Docker, and MLOps practices while staying current with advancements in AI/ML models and hardware/software innovations. This role involves working on large-scale AI systems architecture and influencing system requirements through benchmarking and performance analysis, making it ideal for those passionate about cutting-edge data center technology and hybrid AI applications.

What you'll do

  • Lead development of end-to-end AI/ML solutions integrating Qualcomm hardware for optimal performance.
  • Design and deploy Generative AI applications focusing on production readiness and inference efficiency.
  • Contribute to model fine-tuning strategies tailored for deployment on specific hardware.
  • Conduct benchmarking and workload analysis to influence system requirements and product direction.
  • Serve as technical lead in customer engagements, supporting AI model optimization and deployment.
  • Drive system-level architecture design and implementation for new systems or platform enhancements.
  • Stay current with AI/ML advancements and translate them into impactful solutions.

What we're looking for

  • Master’s or PhD in Engineering, Computer Science, Physics, or related field.
  • Proficient in Python and ML frameworks with experience deploying AI/ML systems.
  • Expertise in large-scale AI system architecture and microservices-based design.
  • Practical knowledge of MLOps practices for AI application lifecycle management.
  • Experience with DevOps tooling including GitOps, Docker, Kubernetes, and ML tools.
  • Strong problem-solving skills with a focus on customer solutions and production readiness.
  • Lead development of end-to-end AI/ML solutions integrating Qualcomm hardware/software.

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