AI Systems Hardware Engineer: Power, Perf & TCO Optimizer

Qualcomm; San Diego (CA); On-site; USD 164,000 - 246,000; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Opportunity for annual RSU grants

Highly competitive benefits package

Job summary

Qualcomm in San Diego is seeking a highly skilled engineer to optimize mapping of AI workloads to their next-generation system technology solutions. The candidate will work on identifying and addressing bottlenecks for state-of-the-art AI workloads.

This position requires collaboration with various functional teams to ensure successful implementation strategies while complying with onsite work policies. The pay range is $164,000.00 – $246,000.00.

Qualifications

• 6+ years of experience in ASIC design, verification, validation, or integration.
• 5+ years of experience with a Master’s degree in ASIC fields.
• 4+ years of experience with a PhD in ASIC fields.

Responsibilities

• Map AI workloads to Qualcomm’s next-gen AI systems.
• Identify system and technology bottlenecks for workloads.
• Collaborate with cross-functional teams to enable implementation strategies.

Skills

ASIC design

E2E system KPI dependency

Power-performance-TCO optimization

Scripting (Python or similar)

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

Job description

Qualcomm in San Diego is seeking a highly skilled engineer to optimize mapping of AI workloads to their next-generation system technology solutions. The candidate will work on identifying and addressing bottlenecks for state-of-the-art AI workloads.

This position requires collaboration with various functional teams to ensure successful implementation strategies while complying with onsite work policies. The pay range is $164,000.00 – $246,000.00.