AI Toolchain Algorithm Engineer (NPU)

HELLOSG RECRUITMENT PTE. LTD.; Singapore; Hybrid; SGD 78,000 - 134,000; Full time

Job summary

HELLOSG Recruitment PTE. LTD. in Singapore seeks an experienced AI Toolchain Algorithm Engineer to develop and optimize AI toolchains for on‑chip NPUs.

You will work on AI operator development, model adaptation, and performance optimization to enable efficient AI workloads on NPU hardware. Requirements include a Master’s degree or above in CS/EE/Automation/Math/Physics, 3+ years in AI toolchain or compiler engineering, and hands-on NPU toolchain experience.

Qualifications

• Master's degree or above in CS/EE/Automation/Math/Physics.
• 3+ years in AI toolchain or compiler engineering.
• Hands-on with NPU toolchains and operator optimization.
• Experience in AI model deployment on specialized AI hardware.
• Strong analytical and teamwork skills; bilingual EN/CN.

Responsibilities

• Develop, maintain, and optimize AI toolchains for chip-based NPU platforms.
• Develop, implement, and optimize AI operators/kernels for efficiency.
• Adapt AI models to NPU hardware and optimize performance and resource use.
• Analyze bottlenecks and improve execution efficiency of AI workloads on NPU platforms.
• Collaborate with hardware, compiler, and algorithm teams to deliver efficient AI computing solutions.

Skills

AI toolchain

Compiler engineering

Operator/kernel development

Performance optimization

Model deployment

Education

Master's degree or above in CS/EE/Automation/Math/Physics

Tools

NPU toolchains

AI hardware optimization

Job description

AI Toolchain Algorithm Engineer (NPU)

Location: Singapore (Flexible - Work From Home or Office)

Salary Range: SGD 7,000 - 12,000 per month (Negotiable)

Job Summary

We are looking for an experienced AI Toolchain Algorithm Engineer to develop and optimize AI toolchains for on-chip Neural Processing Units (NPUs). The successful candidate will work on AI operator development and acceleration, model adaptation, and performance optimization to enable efficient AI workloads on NPU-based hardware.

Key Responsibilities

• Develop, maintain, and optimize AI toolchains for chip-based NPU platforms.
• Develop, implement, and optimize AI operators/kernels to improve computational efficiency and hardware performance.
• Adapt AI models to NPU hardware and optimize model performance, computational efficiency, and resource utilization.
• Analyze computational bottlenecks and improve the execution efficiency of AI workloads on NPU platforms.
• Work closely with hardware, compiler, and algorithm teams to deliver efficient AI computing solutions.

Requirements

• Master's degree or above in Computer Science, Electrical/Electronic Engineering, Automation, Mathematics, Physics, or a related discipline.
• 3+ years of relevant experience in AI toolchain development, AI compiler engineering, AI operator/kernel development, or related fields.
• Hands-on experience with NPU toolchains and a strong understanding of AI algorithms and hardware-specific operator optimization.
• Solid knowledge of AI model deployment and optimization on specialized AI hardware.
• Experience in AI compiler development, operator/kernel optimization, or related research and projects is highly preferred.
• Strong analytical, problem-solving, communication, and teamwork skills, with the ability to work effectively in a challenging and fast-paced environment.
• Bilingual proficiency in English and Chinese is required to communicate and collaborate effectively with the China-based team.