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Jobs or company...

Hardware Engineer

RM 4,500 - RM 6,500 / month
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Job Title: Hardware Engineer – AI Super Computer

Location: Malaysia

Job Type: Full-Time

Company Description:

Asrix Prime is located at Empire Subang SS16 and is led by experienced and leading AI scientists. Asrix is undertaking research & development (R&D) of artificial intelligence (AI) applications and infrastructure for some internationally listed companies (Nasdaq & LSE London).

Asrix stands for A*pplied Scientific Research Information eX*change. Asrix is also a research partner with UPM Business School and UM Computer Science Faculty.

Our vision is to Preserve Human Knowledge and Experience

We already have and are further developing our in-house expertise and resources in the AI area while working on several on-going projects. Among others, we are working on the following areas:

1. Digital Human Twin.

2. Machine learning.

3. Speech recognition.

4. Natural Language Processing.

5. Computer Vision.

6. Artificial General Intelligence

We are seeking a highly skilled and motivated Hardware Engineer to join our team and work on improving the efficiency of GPU supercomputers.

Job Description:

As a Hardware Engineer specializing in GPU supercomputer efficiency improvement, you will be responsible for optimizing the performance and reliability of our GPU-based computing systems. You will work closely with our research and development team to design, assemble, and code solutions that maximize the capabilities of our supercomputing hardware.

Key Responsibilities:

  • Supercomputer Configuration and Assembly:
  • Design and build custom computer systems for machine learning workloads using consumer-grade components, ensuring compatibility of motherboard and GPU selection.
  • Troubleshoot hardware issues and implement solutions for enhanced reliability.
  • GPU Optimization:
  • Optimize GPU settings for maximum performance while minimizing power consumption.
  • Overclock GPUs and fine-tune settings to achieve optimal results.
  • Parallel Computing and Cluster Management:
  • Develop and maintain GPU clusters for parallel computing tasks.
  • Implement cluster management and job scheduling for efficient resource utilization.
  • Performance Testing:
  • Conduct benchmarking and performance testing on supercomputers to identify bottlenecks and areas for improvement.
  • Utilize benchmarking tools and software to assess system performance.
  • Code Optimization:
  • Work with software developers to optimize GPU-accelerated applications and algorithms.
  • Implement code improvements to enhance computational efficiency.
  • Power Efficiency Enhancement:
  • Investigate and implement power-saving techniques to reduce energy consumption.
  • Ensure that supercomputers meet energy efficiency standards.
  • System Monitoring and Maintenance:
  • Implement monitoring systems to track hardware performance and identify issues proactively.
  • Perform routine maintenance and hardware upgrades as needed.
  • Documentation:
  • Maintain detailed documentation of configurations, optimizations, and improvements.
  • Create user guides and manuals for the efficient use of supercomputing resources.

Other requirements

· Familiarity with Linux operating system and shell scripting.

· Experience in programming with Python or C++.

· Knowledge of network architecture and security.

· Familiarity with cloud computing services such as AWS or Azure.

Qualifications:

· Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.

· Proven experience in configuring and optimizing GPU supercomputers.

· Proficiency in GPU cluster management and parallel computing.

· Strong coding skills in languages like CUDA, OpenCL, and Python.

· Knowledge of hardware monitoring tools and performance testing.

· Experience with power efficiency enhancements in HPC environments.

· Strong problem-solving and troubleshooting abilities.

· Excellent communication and teamwork skills.

If you are passionate about building high-performance hardware systems for machine learning, with expertise in motherboard compatibility, GPU selection, CPU and memory manipulation, and have a strong desire to work in a dynamic and collaborative environment, we encourage you to apply for this exciting opportunity

If you are a highly motivated hardware engineer with a passion in making significant impact in the field of high-performance computing, we encourage you to apply. Join our team and be at the forefront of innovation in the world of supercomputing.

Job Type: Full-time

Pay: RM4,500.00 - RM6,500.00 per month

Benefits:

  • Additional leave
  • Cell phone reimbursement
  • Health insurance
  • Maternity leave
  • Opportunities for promotion
  • Parental leave
  • Professional development

Schedule:

  • Monday to Friday

Work Location: In person

Application Deadline: 03/31/2025
Expected Start Date: 04/02/2025