RTL Core & AI Processor Microarchitecture Engineer

QUALCOMM, Inc.; Austin (TX); On-site; USD 101,000 - 152,000; Full time

Benefits offered by this job

Annual bonus

RSU grants

Benefits package

Job summary

Qualcomm Technologies, Inc. in Austin, TX is seeking an RTL core/processor microarchitecture engineer to help design next‑generation AI and modem cores.

You will own RTL design and microarchitecture development for high‑performance, energy‑efficient CPUs and NPUs, collaborating with architecture, verification, physical design, and software teams to deliver production‑quality RTL. The role emphasizes AI acceleration, CPU microarchitecture, and power‑aware design, with opportunities to impact

Qualifications

• Bachelor’s degree in STEM and Master’s preferred.
• Proficiency in RTL design using Verilog/SystemVerilog.
• Experience with CPU microarchitecture and AI accelerators is a plus.

Responsibilities

• Own and drive RTL design and microarchitecture development for high‑performance, low‑power CPU and AI cores.
• Collaborate with architecture, verification, physical design and software teams to deliver production‑quality RTL.
• Contribute to performance, power and area optimization, including clock gating and low‑power techniques.
• Analyze timing, area and functional issues across the design cycle.
• Apply ISA knowledge to guide microarchitecture decisions for AI and signal processing workloads.
• Work with AI software and compiler teams to ensure hardware‑software co‑optimization.

Skills

RTL design

Verilog/SystemVerilog

CPU microarchitecture

AI accelerators/NPUs

Low-power design

ISA knowledge

Team collaboration

Education

Master’s degree in Computer Engineering or Electrical Engineering

Bachelor’s degree in Science/Engineering

Tools

Synthesis tools

Job description

Qualcomm Technologies, Inc. in Austin, TX is seeking an RTL core/processor microarchitecture engineer to help design next‑generation AI and modem cores.

You will own RTL design and microarchitecture development for high‑performance, energy‑efficient CPUs and NPUs, collaborating with architecture, verification, physical design, and software teams to deliver production‑quality RTL. The role emphasizes AI acceleration, CPU microarchitecture, and power‑aware design, with opportunities to impact