Principal AI Performance Architect

Dell Technologies•Austin, TX

About The Position

Dell Technologies' Client Product Group is seeking a Principal AI Performance Architect to join the Thermal, Power, Performance, and Acoustics team in Austin, Texas. The role develops a forward-looking performance view for an assigned line of business within Dell's client PC portfolio. This includes forecasting platform performance targets, competitive shifts, and workload bottlenecks before product definition is finalized, helping Dell set requirements with silicon, operating-system, and ODM partners. The architect uses AI tools to scale analysis and benchmarking while owning judgment-based decisions, including performance target-setting, architecture trade-offs, and partner negotiations. The position works across performance, power efficiency, thermals, acoustics, and battery life, and supports engineering, product, and marketing teams as well as critical performance escalations. Dell describes its engineering mission as delivering differentiated products, experiences, and solutions. It also supports continued learning through tools and courses that build functional, technical, and leadership skills.

Requirements

Strong expertise in x86 system architecture and in performance, power, thermal, and acoustic trade-offs.
Ability to forecast performance trends and make data-based trade-off decisions for a platform family.
Experience triaging performance bottlenecks across hardware, firmware, operating-system, and application layers.
Experience working with silicon vendors, control frameworks, and operating systems.
Demonstrated use of AI-driven tools to expand analysis scope and team productivity.
Ability to present to peers, cross-functional teams, and director-level leaders; strong communication skills and a customer-first mindset.
Typically, 8 or more years of related experience with a bachelor's degree, 6 or more years with a master's degree, 3 or more years with a PhD, or equivalent experience.

Nice To Haves

Bachelor of Science in Computer Engineering or a related field.
Experience implementing machine-learning-based performance policies.
Hands-on experience with control frameworks, operating-system scheduling, and ETW/WPA trace analysis.
Experience with competitive benchmarking across PC platforms.

Responsibilities

Conceive and define performance concepts and targets for next-generation platforms within an assigned line of business or platform family.
Lead workload characterization and bottleneck modeling for preconcept platforms, using AI tools for benchmarking and analysis.
Translate forecasts into architecture decisions and trade-offs across performance, power efficiency, thermals, acoustics, and battery life.
Support partner and cross-functional reviews with engineering, product, and marketing teams on performance requirements.
Support critical performance escalations within the assigned area.