CareerPlan

AI Systems Hardware Engineer

San Diego, California, United States of AmericaFull-time$174k–$262k2026-09-17 → 2026-11-10
On-site · United States

Core

Map AI workloads to Qualcomm's next-gen AI accelerator systems and optimize system components (SoC, memory, networking) for power-performance-TCO trade-offs.

Role type

Senior IC AI Systems Hardware Engineer

Builds

Next-generation AI accelerator systems and SoC solutions

Domain

Semiconductor / AI Hardware / System Architecture

Deliverable

production ML models

Required skills

ASIC design, verification, validation, integration, Python scripting, E2E system KPI analysis, SoC architecture, memory architecture, networking architecture

Preferred skills

Mixture-of-experts (MoE) workload knowledge, multi-tenant vector database knowledge, multimodal physical AI knowledge, advanced data analysis, complex problem solving

Technologies

Python, SoC, Memory, Networking

Responsibilities

Map AI workloads to internal and external tools for next-gen AI accelerator systems, carry out what-if scenarios for optimizing underlying components, ensure AI workload relevance for different business units, collaborate with architecture and product teams to enable implementation strategies

Seniority

Senior, hands-on IC