Job Details

About the Company: A gpu and ai computing company seeking expertise in the technical and application areas described in this position. The role offers a focused setting for translating specialist knowledge into research, engineering or organizational outcomes.

Target Candidates: Master’s or PhD in Computer Science, Electronics, IC Design, Computer Architecture or Graphics.

Responsibilities

•  Contribute to next-generation GPU graphics pipelines, compute cores, memory subsystems and SoC architecture.

•  Build C++ simulators, performance models and architecture-verification tools for feature validation and system optimization.

•  Write architecture and microarchitecture specifications and analyze bottlenecks in 3D graphics, AI and HPC workloads.

•  Partner with chip, validation, driver, compiler and software-stack teams from definition through implementation.

•  The position spans design choices, implementation and verification within the semiconductor development workflow. Technical decisions should be traceable to measurable performance, process or reliability targets in the products and projects described below.

Requirements

•  Master’s or PhD in Computer Science, Electronics, IC Design, Computer Architecture or Graphics.

•  GPU rendering or general computation, memory/data paths, on-chip buses and performance modeling.

•  Strong C/C++ and Python; CUDA, OpenCL, Vulkan, DirectX or OpenGL experience preferred.

•  Candidates should bring disciplined design reviews, test interpretation and problem resolution, together with clear communication across design, process, packaging and application interfaces where relevant.

Highlights & Support: Foundational GPU architecture and performance work for domestic AI-compute products.