Qualcomm
AI Systems Hardware Engineer
$174K–$262K
San Diego, California +2 · On-site · Full-time · Posted Sep 17, 2026
- Location
- San Diego, California
Austin, Texas
Santa Clara, California - Experience
- 6+ years with a bachelor’s degree, 5+ years with a master’s degree, or 4+ years with a PhD, in ASIC design, verification, validation, integration, or related work.
- Education
- Bachelor’s, Master’s, or PhD in Science, Engineering, or related field.
About the job
Maps emerging AI workloads to Qualcomm’s next-generation AI accelerator systems and evaluates system-level designs to optimize power, performance, and total cost of ownership (TCO).
What you'll do
- Identify system and technology bottlenecks for emerging AI workloads and run workload-mapping and what-if optimization scenarios across SoC, memory, and networking.
- Assess which AI workloads are relevant to business units spanning datacenters, physical AI, and computing devices.
- Collaborate with architecture, product management, and software teams to develop implementation strategies that meet system requirements.
What they ask for
- Bachelor’s degree in Science, Engineering, or related field and 6+ years of relevant ASIC experience; or Master’s and 5+ years; or PhD and 4+ years.
- Relevant experience in ASIC design, verification, validation, integration, or related work.
Nice to have
- Thorough understanding of end-to-end system KPI dependencies for emerging AI workloads.
- Proficiency in scripting (Python or similar) and knowledge of state-of-the-art workloads across multiple business units.
Pay
$174,400.00 - $261,600.00 USD (pay range; salary/base pay)
Tools
Python, SoC, memory, networking
AI focus
Maps and optimizes AI workloads, including mixture-of-experts (MoE), multi-tenant vector databases, and multimodal physical AI, on next-generation AI accelerator systems.
Model-written summary · the original posting is authoritative