AI Systems Hardware Architect: Power-Performance Optimizer

MaC VC; San Diego (CA); On-site; USD 174,000 - 262,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a highly skilled engineer to map AI workloads to Qualcomm’s next‑gen accelerator systems, optimizing power, performance and TCO across SoC, memory and networking.

The candidate will collaborate with Architecture, product management and SW teams to enable implementation strategies that meet system requirements and align workloads across datacenters, physical AI and computing devices. Location is San Diego, CA with onsite policy.

Qualifications

• Bachelor's degree with 6+ years ASIC design/verification experience.
• Master's degree with 5+ years ASIC design/verification experience.
• PhD with 4+ years ASIC design/verification experience.

Responsibilities

• Map AI workloads to Qualcomm accelerator systems to optimize power and performance.
• Identify bottlenecks across SoC, memory and networking for best TCO trade-offs.
• Collaborate with Architecture, product management and SW teams to define strategy.

Skills

End-to-end KPI awareness

Workload mapping

Scripting (Python)

Independent work

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Science, Engineering, or related field

Master's degree in Science, Engineering, or related field

PhD in Science, Engineering, or related field

Tools

Python scripting

Job description

Qualcomm Technologies, Inc. seeks a highly skilled engineer to map AI workloads to Qualcomm’s next‑gen accelerator systems, optimizing power, performance and TCO across SoC, memory and networking.

The candidate will collaborate with Architecture, product management and SW teams to enable implementation strategies that meet system requirements and align workloads across datacenters, physical AI and computing devices. Location is San Diego, CA with onsite policy.