GPU Driver & Memory Architect for AI Acceleration

HP; Spring (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous paid leave

Paid holidays

Flexible paid vacation and sick leave

Job summary

HP in United States seeks a highly experienced GPU Driver & Memory Management Architect to own driver-level memory management across CPU, GPU, and NPU. The role focuses on scalable architectures, identifying new technologies, and driving performance improvements for AI workloads.

Ideal candidates have 10+ years in electrical design, with strong memory/GPU expertise, and experience collaborating with IHVs. The position is full-time with competitive benefits.

Qualifications

• Four-year or Graduate Degree in Electrical Engineering or related discipline.
• Typical has 10+ years of work experience in electrical design and related fields.
• Strong knowledge of memory/GPU design and hardware architectures.

Responsibilities

• Architect driver-level memory management (DVMT, shared memory models, WDDM).
• Enable dynamic memory allocation across GPU, CPU, and NPU.
• Optimize iGPU performance for AI + graphics hybrid workloads.
• Define OS-driver contracts (Windows/Linux).
• Diagnose memory-related performance bottlenecks.
• Partner with IHVs on driver capabilities and requirements.

Skills

Memory/GPU design

Electrical Engineering

Computer Science

Debugging

Hardware Architecture

Hardware Design

FPGA

MATLAB

Oscilloscope

Schematic Capture

Systems Design

Education

Electrical Engineering degree (Four-year or Graduate)

Tools

MATLAB

Oscilloscope

Schematic Capture

Job description

HP in United States seeks a highly experienced GPU Driver & Memory Management Architect to own driver-level memory management across CPU, GPU, and NPU. The role focuses on scalable architectures, identifying new technologies, and driving performance improvements for AI workloads.

Ideal candidates have 10+ years in electrical design, with strong memory/GPU expertise, and experience collaborating with IHVs. The position is full-time with competitive benefits.