below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$171,485–$235,050
— the blue band above.
At the midpoint, this role pays about
$256k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Dell Technologies
Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.
Dell Technologies currently has
102 open roles
on FindRole.
Listed pay typically runs
$174,000–$236,250
across 88 roles with salary data.
Technical Staff, Performance Engineering Technologist joins the Thermal, Power, Performance, and Acoustics team within the Client Product Group. This role involves architecting and optimizing performance strategies for cutting-edge mobile PC products. The individual will define system performance requirements, drive optimization strategies across the product lifecycle, and identify performance bottlenecks. Key responsibilities include evaluating the impact of new hardware, firmware, and software to guide system-level trade-offs while representing the team in cross-functional reviews. The position requires deep knowledge of x86 processor architecture, power, thermals, and acoustics. Candidates must use advanced analysis tools, benchmarking frameworks from silicon vendors, and AI-driven solutions to accelerate development. The work focuses on maximizing processor capabilities to ensure a balanced user experience across consumer and commercial mobile devices.
Liquid Cooling
Heat Transfer
Fluid Dynamics
Power Distribution
Hardware Design
Systems Engineering
AI Infrastructure
Accelerated Compute
BOM
Manufacturing Processes
Tolerance Control
Thermal Science
GPU
CPU
SoC
Microarchitecture
Performance Modeling
C++
Python
Workload Analysis
Micro-benchmarking
Computer Architecture
Data Center Systems
Machine Learning Acceleration
Bottleneck Identification
Performance Analysis