Advanced Engineer (High-Efficiency AI Computing)

Role Overview: 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. Key Responsibilities: • 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. Required 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 Interested candidate please click "APPLY" to begin your job search journey. We regret to inform that only shortlisted candidates will be notified. By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd ("PERSOL") and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our Privacy Policy. We may use artificial intelligence ("AI") and machine learning technologies to support our recruitment and placement services, including screening resumes, assessing qualifications and experience, and identifying skills and job matches. Where permitted by applicable law, we may also use such personal data to develop, train, test, improve and/or fine-tune AI and machine learning technologies that support our recruitment and business operations. For more information on how we collect, use, disclose and protect your personal data, please refer to our Privacy Policy: https://www.persolsingapore.com/policies. If you wish to withdraw your consent, including consent relating to the use of your personal data for AI-enabled recruitment activities and AI development activities, please email us at sg.dataprotection@persolapac.com. PERSOL Singapore Pte Ltd •RCB No. 200007268E • EA License No. 01C4394 •Registration ID: Heah Sian Wei R23117518