AI Kernel Optimization Engineer

Role Overview

As an AI Kernel optimization Engineer, you will play a key role in pushing the limits of AI inference performance on Openchip RISC-V platforms. You will design, implement, and optimize AI compute kernels and runtime components to fully exploit the underlying hardware architecture.

What You Will Do

Develop, optimize, profile, and debug AI compute kernels targeting Openchip RISC-V architectures. Identify and resolve performance bottlenecks at the ISA, compiler, and runtime levels.

Why It Might Be a Fit

You will collaborate closely with hardware architects, compiler engineers, and AI framework developers to achieve optimal hardware–software co-design. You will also contribute to the development and tuning of AI runtime and graph execution engines.

Requirements

• MSc or PhD in Computer Engineering or Computer Science, or equivalent practical experience
• 3+ years of experience in performance optimization for AI Inference or HPC use cases
• Strong background in low-level performance optimization
• Proficiency in C/C++ and good understanding of assembly-level optimizations
• Solid understanding of CPU/GPU/AI accelerator architecture
• Experience with RISC-V architectures or other custom ISAs
• Experience with profiling and performance analysis tools
• Strong knowledge of parallel programming
• Solid software engineering skills

Benefits

• Meal vouchers
• Premium health coverage
• Sustainable mobility incentives
• Generous paternity leave