Advanced Engineer (High-Efficiency AI Computing)

About the company:

We have partnered with a renowned global leader in information and communications technology (ICT) infrastructure and smart devices. They are providing full-stack, all-scenario solution for products and services carriers, enterprises, governments, and individual consumers worldwide.

Our client is looking for skilled Advanced Engineer for High-Efficiency AI Computing to join the team.

Key Responsibilities:

As an Advanced Engineer for High-Efficiency AI Computing, you will be at the forefront of shaping the next generation of AI hardware. Bridging the gap between algorithmic innovation and silicon design, you will play a critical role in pushing the boundaries of low-precision and sparse computing. Your work will directly influence the microarchitectural evolution of our flagship AI accelerators, driving massive improvements in energy efficiency and computational performance for large-scale AI models.

• Algorithmic Innovation: Spearhead research into optimal quantization methodologies for advanced low-precision data formats, driving the strategic adoption and expansion of our low-precision computing ecosystem to secure a competitive edge in numerical computing.
• Kernel Architecture: Architect and deploy high-performance, highly scalable kernels for low-precision and sparse computing (e.g., GEMM, FlashAttention), explicitly tailored to maximize the microarchitectural strengths of our in-house AI accelerators.
• Hardware-Software Co-Design: Identify systemic performance bottlenecks and drive the microarchitectural evolution of next-generation AI chips, significantly enhancing energy efficiency and throughput.
• Partner closely with IC design teams to ensure to deliver comprehensive technical specifications, rigorous benchmark reports, and high-value patent proposals.

Minimum Qualifications:

• Education: Ph.D. in Computer Science, Electronic Engineering, Automation, or a highly related technical field.
• Technical Expertise: Deep foundational knowledge in computer architecture, specifically regarding GPU/NPU microarchitecture implementation.
• Domain Knowledge: Profound, demonstrable expertise in algorithm research focused on low-precision quantization and sparsity.

Preferred Qualifications:

• Proven Impact: A strong track record in inference optimization for Large Language Models (LLMs) or multi-modal models, coupled with hands-on high-performance kernel development.
• System-Level Design: Concrete experience in system-level architectural design for high-performance AI inference accelerators.
• Academic Excellence: A robust publication record in tier-1 architecture and AI conferences (e.g., ISCA, MICRO, HPCA, ASPLOS, NeurIPS, CVPR).

Interested candidates, who wish to apply for the advertised position, please click on Apply Now. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394

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