Job Description

This position involves designing and implementing high-performance computing (HPC) systems, which are used to solve complex computational problems across a wide range of industries.

As an HPC Engineer, you MUST be highly proficient with Linux administration.

You will be responsible for designing and implementing HPC clusters both on-premise and on the cloud. You will also be responsible for troubleshooting operating systems, job schedulers, cluster networking, and user applications.

You will have the opportunity to work with researchers in various industries, including oil and gas, genomic and medical research, chemistry, engineering, autonomous vehicles, and more.

• Proficient with Linux and networking.
• Basic Linux shell scripting is mandatory.
• Minimum 2 years of relevant experience in HPC or Linux-related implementation projects.
• Familiarity with HPC hardware, such as GPUs, accelerators, and high-speed interconnects.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Ability to manage multiple tasks and projects simultaneously, while meeting deadlines.
• Experience with AI software such as TensorFlow, PyTorch, Caffe, etc. is a plus.
• Experience with simulation software such as OpenFOAM, ANSYS, etc. is a plus.
• Programming (Python, C/C#/C++, PHP) skill is a plus.
• A Diploma or Bachelor\'s or Master\'s degree in computer science or a related field is a plus.

If you are passionate about technology and are excited about the prospect of working in a dynamic and fast-paced environment, we encourage you to apply.
Continuous training will be provided to keep you up-to-date with the latest trends.

Responsibilities

• Design, develop, and optimize high-performance computing (HPC) solutions for various applications, including AI and simulation software.
• Collaborate with cross-functional teams to identify and understand computational requirements and provide suitable HPC solutions.
• Develop and maintain scalable and efficient parallel code for AI frameworks, such as TensorFlow, PyTorch, and Caffe.
• Implement and optimize HPC solutions for simulation software, including OpenFOAM and ANSYS.
• Monitor and troubleshoot HPC systems, ensuring optimal performance and stability.
• Continuously explore and evaluate new HPC technologies, software, and hardware to stay current with industry trends and best practices.
• Provide technical support and guidance to other team members as needed.

Benefits

• EPF and Socso Provided
• Work 5 days per week
• Birthday treats
• Insurance PA
• Mileage claim
• Others

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