below marketmost similar roles pay hereabove market
This role pays more than
77%
of similar roles. Most pay
$160,000–$214,125
— the blue band above.
At the midpoint, this role pays about
$218k
versus about
$187k
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 AI Systems Hardware Engineer joins the ASICS Engineering group to enable optimized mapping of AI workloads to next-generation system-technology solutions. The role involves identifying system and technology bottlenecks for emerging workloads, including mixture-of-experts, multi-tenant vector databases, and multimodal physical AI. The engineer will map these workloads using internal and external tools to next-gen AI accelerator systems, conducting what-if scenarios to optimize SoC, memory, and networking components for the best power, performance, and TCO trade-offs. Key responsibilities include collaborating with architecture, product management, and software teams to develop implementation strategies. Required skills include ASIC design, verification, validation, or integration experience, along with high proficiency in scripting using Python or similar languages. The work focuses on solving hardware efficiency problems for diverse business units ranging from datacenters to computing devices.
Map emerging AI workloads to next-generation system-technology solutions using internal and external tools.
Identify system and technology bottlenecks for state-of-the-art AI workloads like mixture-of-experts and vector databases.
Conduct what-if scenarios to optimize SoC, memory, and networking components for power, performance, and TCO.
Analyze end-to-end system KPIs for multimodal physical AI and other emerging technologies.
Determine which AI workloads are most relevant for different business units including datacenters and computing devices.
Develop implementation strategies with architecture, product management, and software teams to meet system requirements.
Use Python or similar scripting languages to quickly map new workloads onto Qualcomm systems.
What we're looking for
Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience.
PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.
High proficiency in scripting (python or similar) is required.
Thorough understanding of E2E system KPI dependency for emerging AI workloads (preferred).
Master's or Ph.D. in Electrical Engineering, Computer Science, or a related field (preferred).
Exceptional creativity to innovate new ideas and develop innovative products/processes without established objectives (preferred).
Deductive and inductive problem solving with advanced data analysis and interpretation skills (preferred).
Embedded Systems
Robotics
Mechatronics
Firmware
CAN
Ethernet
FMEA
V&V
Root-cause Debugging
Sensor Suites
Power Distribution
Motion Control
ICDs
Systems Engineering
RF Systems
Python
RF Measurement
Test Automation
Data Analysis
Root Cause Analysis
Failure Analysis
API
Wireless Communications
Scripting
Electrical Engineering
54V DC Power Circuitry
Schematic Capture
HDI
Oscilloscope
Network Analyzer
BERT
Python
C
Cadence System Capture
I2C
SPI
UART
Analog Circuitry
Firmware
Electrical Characterization