GPU Modelling Engineer (C++/RTL) – Low-Power Graphics

Qualcomm Incorporated; Cork; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Stock bonus

Relocation support

Education assistance

Life insurance

Medical coverage

Job summary

QT Technologies Ireland Limited is seeking an Engineer to contribute to the design and verification of our next-generation Adreno GPU simulator in Cork. You will model architectures, write C/C++-based functional models and develop robust test suites to assure correctness and performance of GPU/compute systems.

You will collaborate with architects, designers, driver and compiler teams to deliver high-quality, power-efficient GPU solutions for mobile graphics and compute workloads in a globally

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software/Hardware/Systems Engineering experience.
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of relevant work experience.
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Responsibilities

• Develop bitwise accurate functional models (C-Model) to simulate new architectures.
• Develop test suites and perform functional verification with C-Model and RTL simulation.
• Perform conformance, stress and random tests and stabilize GPUs/Compute systems.

Skills

GPU modelling

C++ programming

Graphics pipelines

C/C++ debugging

Python/Perl scripting

Agile development

Communication

Education

Bachelor's in CS/EE

Master's degree

PhD

Tools

C/C++

DirectX/OpenGL/Vulkan

OpenCL

RTL/Modeling tools

Job description

QT Technologies Ireland Limited is seeking an Engineer to contribute to the design and verification of our next-generation Adreno GPU simulator in Cork. You will model architectures, write C/C++-based functional models and develop robust test suites to assure correctness and performance of GPU/compute systems.

You will collaborate with architects, designers, driver and compiler teams to deliver high-quality, power-efficient GPU solutions for mobile graphics and compute workloads in a globally