Architectural Computing Algorithm Engineer

Responsibilities

• Focus on the training and inference optimization of foundation models (LLM/VLM), low-bit quantization techniques, operator fusion and kernel-level optimization, as well as the research and development of the next generation of Spatial Foundation Models.
• LLM/VLM Acceleration and Optimization :
• Focus on efficient training and inference acceleration of LLM/VLM models, including but not limited to mixed-precision training, KV cache management, and the deployment of low-bit quantization techniques;
• Continuously track the evolution of basic model operators (such as flash-attention) and emerging algorithmic architectures and computational paradigms.
• Spatial Foundation Model Algorithm R&D :
• Deploy in applications such as autonomous driving and embodied AI. Conduct research on 3D/4D tokenizer for 3D/4D spatial understanding. Design and develop architectures for VLM and VLA foundation models to support spatial understanding, planning, decision-making, and interaction.
• Promote the development and application of next-generation AI systems.
• Operator Fusion and Low-Level Kernel Optimization :
• Focus on operator fusion and kernel-level optimization of core components in foundation models;
• Conduct prototyping and optimization of custom kernels targeting diverse hardware platforms such as GPU and NPU, enabling efficient deployment
• Required Qualifications:
• PhD in Computer Science, Mathematics, or related fields; At least 2 years of software development experience with the knowledge of common data structures and techniques, heterogeneous computing and computer architecture.
• Understanding of the basic principles of artificial neural networks, with a background in traditional machine learning. Familiarity with cutting-edge AI algorithms, including but not limited to NLP/LLM/AIGC-related tasks and algorithms.
• Strong research and analysis skills in algorithms, capable of analyzing and replicating leading conference papers.
• More than 1 year of experience in software development or design, familiar with software processes, engineering methodologies, and tools.
• Proficient in programming languages like Python/C/C++, familiar with various AI frameworks such as PyTorch, TensorFlow, MindSpore, and experienced in using deep learning frameworks for LLM/NLP/AIGC-related content generation and optimization.
• Strong research and analysis skills in algorithms, capable of analyzing and replicating top conference publications, especially in the LLM/NLP/AIGC domain.
• Ability to independently complete the design, development, and self-testing of algorithm modules, meeting company reliability requirements, especially in ensuring the reliability of generated content quality.
• Experience in technical cooperation project management is an added advantage.
• Interested candidate please click "APPLY" to begin your job search journey.
• We regret to inform that only shortlisted candidates will be notified.
• PERSOL Singapore Pte Ltd
• -RCB No. 200007268E - EA License No. 01C4394
• -Registration ID: Heah Sian Wei R23117518

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