Ambient Compute System Architecture and Power Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

In short

Qualcomm is looking for a System Architecture and Power Engineer to focus on optimizing the performance and power of embedded AI subsystems, particularly for XR and always-on AI applications. The role involves detailed analysis of power-performance trade-offs, system integration, and collaboration with cross-functional teams to drive efficient on-device AI.

Responsibilities

Analyze and optimize performance and power of LPAI subsystem (DSP, eNPU, memory) with focus on XR and always-on AI workloads.
Support system integration, benchmarking, and commercialization of LPAI solutions across Mobile, XR, Compute, and IoT platforms.
Perform detailed data-path and memory-access analysis (cache, SRAM, DDR) to identify bottlenecks impacting performance efficiency.
Drive ambient system workload partitioning, software optimizations, clock/BW voting, and data reuse strategies.
Collaborate with HW, SW, and PdM teams to review low-power feature roadmap.
Execute lab-based power measurements, correlate silicon data with modelling.
Document performance and power analysis, competitive analysis findings, and architectural recommendations for internal stakeholders.

Requirements

Experience with embedded processor architectures such as DSPs and NPUs, with understanding of processor power behavior.
Experience working with embedded platforms, RTOS, and performance/power profiling tools.
Strong programming skills in Python for analysis, modeling, and automation.
Solid understanding of memory systems, data movement, bandwidth analysis, and Cache memory strategies.
Strong fundamentals in power modeling, power analysis, and system-level power optimization.
Hands-on experience with power measurement tools, and data analysis techniques.
Knowledge of fixed-point implementation and algorithm optimization techniques.
Ability to work across cross‑functional and geographically distributed teams.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience; OR Master's degree and 3+ years of experience; OR PhD and 2+ years of experience.

Desired Qualifications

Experience with Qualcomm DSP and LPAI architectures, SDKs, or internal power tools.
Background in audio, or always-on AI use cases.
Exposure to ML inference workloads and their power-performance characteristics.

Benefits

Competitive annual discretionary bonus program.
Opportunity for annual RSU grants.
Highly competitive benefits package designed to support your success at work, at home, and at play.
Recruiter will be happy to discuss all that Qualcomm has to offer.
More details about US benefits available at a link.

Skills

PythonDSPNPURTOSPower modelingData analysis

#AI#Embedded Systems#XR#Power Efficiency#System Architecture#DSP#NPU#Compute#IoT

About Qualcomm

Enabling a world where everyone and everything can be intelligently connected.

Enabling a world where everyone and everything can be intelligently connected.\n\n

See all open jobs at Qualcomm Read more about Qualcomm Website

Company

Qualcomm

Job Posted

2 weeks ago

Employment Type

Full Time

Work mode

On Site

Salary

US$155,400–233,200 / year

Experience Level

Mid-Senior

Locations

San Diego, United States of America

Qualification

Bachelor, Master, Doctoral

Applicants

Be an early applicant

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