Advanced Engineer (High-Efficiency AI Computing)

Beijing Foreign Enterprise Management Consultants Co.,Ltd.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Huawei, a world-renowned ICT leader, seeks an Advanced Engineer for High-Efficiency AI Computing in Singapore. You will bridge algorithmic innovation and silicon design to push low-precision and sparse computing on our next-generation AI accelerators.

You will lead kernel architecture, hardware-software co-design, and collaborate with IC design teams to deliver scalable, energy-efficient AI inference solutions for large-scale models.

Qualifications

• PhD in a highly technical field.
• Deep knowledge in computer architecture, esp. GPU/NPU microarchitecture.
• Expertise in low-precision quantization and sparsity.
• Proven impact in inference optimization for LLMs or multimodal models.
• Hands-on high-performance kernel development experience.
• System-level architectural design for AI inference accelerators.
• Strong publication record in top architecture/AI conferences (ISCA, MICRO, HPCA, ASPLOS, NeurIPS, CVPR).
• Excellent cross-functional collaboration and communication skills.

Responsibilities

• Lead algorithmic research into optimal quantization for low-precision data formats.
• Architect and deploy high-performance kernels for low-precision and sparse computing.
• Drive hardware-software co-design to improve energy efficiency and throughput.
• Collaborate with IC design teams to deliver specifications, benchmarks, and patent ideas.

Skills

GPU microarchitecture

Low-precision quantization

Sparsity

Inference optimization

Kernel development

System-level design

Cross-functional collaboration

Education

Ph.D. in Computer Science, Electronic Engineering, Automation, or related field

Job description

On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Advanced Engineer (High-Efficiency AI Computing).

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.

Job Description:

• 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.

Skills / 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.
• 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).
• Professional Attributes: Exceptional cross-functional collaboration and communication skills, with the ability to build consensus across algorithm, silicon design, software, and testing teams.