below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$207,000–$288,650
— the blue band above.
At the midpoint, this role pays about
$315k
versus about
$248k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The Sr. Director, AI Technology & Manufacturing joins the Global Manufacturing Technology and Operations team to lead the expansion of manufacturing capabilities and technology roadmaps. This leader will integrate distributed efforts across system-technology co-optimization, test, and supplier enablement into a unified roadmap covering silicon, packaging, substrates, memory, power, and thermal management. Key responsibilities include securing advanced-node wafer and memory capacity, driving qualification for datacenter technologies like QCM/HBM and EMIB, and establishing server-class burn-in and thermal strategies. The role requires deep semiconductor expertise to manage relationships across foundry, OSAT, and memory supplier ecosystems. The position solves complex manufacturing and supply assurance problems for Datacenter, Automotive, and Physical AI business units by translating long-range requirements into actionable technology, capacity, and capability plans.
Lead the datacenter and module technology and manufacturing agenda across test, packaging, memory, and thermal systems.
Develop and own an integrated STCO roadmap spanning silicon, package, power, and thermal for 3-4 year product plans.
Translate long-range business unit requirements into actionable technology, manufacturing, capacity, and capability plans.
Secure required capacity across advanced-node wafers, substrates, OSAT/CM, and memory through multi-year supplier agreements.
Lead the stand-up and scaling of datacenter test capabilities and hardware engineering deployment across multiple sites.
Establish strategies for burn-in, system-level test, and thermal management for server-class products.
Create clear operating interfaces and decision-making mechanisms across technology roadmaps, technical qualifications, and supplier selection.
Build a joint planning cadence with business units to connect near-term execution with long-term product requirements.
What we're looking for
Bachelor's degree in a related field and 10+ years of hardware engineering experience.
Master's degree in a related field and 9+ years of hardware engineering experience.
PhD in a related field and 8+ years of hardware engineering experience.
8+ years of leadership experience in the data center industry, semiconductor development, and manufacturing, including Director-level leadership (preferred).
Demonstrated experience delivering complex server-class systems from concept through volume production (preferred).
Established relationships across foundry, OSAT, substrate, and memory suppliers with experience in multi-year capacity negotiations (preferred).
Technical expertise in burn-in, system-level test, thermal management, advanced packaging, and server-class manufacturing (preferred).
Knowledge of datacenter customer requirements and rack-scale infrastructure (preferred).
Remote (San Diego, CA)40 days ago
$237,800–$356,800
AI Frameworks
TensorFlow
PyTorch
GPU Architecture
PCIe
CXL
UAL
Machine Learning Systems
Data Center Systems
Rack-scale Orchestration
Interconnect Fabrics
Power Delivery
Compilers
Optimization Toolchains
Generative AI
Large Language Models
Agentic Systems
Machine Learning
Data Engineering
Graph Intelligence
Anomaly Detection
Distributed Systems
ML Infrastructure
Feature Pipelines
Real-time Systems
Model Evaluation
Observability
Telemetry
Identity Graphs
Bot Detection
Responsible AI
Vertex AI
Gemini
Google Cloud
BigQuery
Spanner
Terraform
GKE
Cloud Run
Python
TypeScript
Go
CI/CD
Pub/Sub
Dataflow
OpenTelemetry
Looker
LookML
IAM
Vector Search
Dataplex
MCP
Distributed Systems
LLM
Knowledge Catalog