Epicareer Might not Working Properly
Learn More
A

Hardware Engineer

  • Full Time, onsite
  • Asrix Prime Berhad/Orient Telecoms Plc.
  • Kuala Lumpur, Malaysia
RM 4,000 - RM 7,000 / month

Checking job availability...

Original
Simplified

JOB DESCRIPTION

Company name: ASRIX PRIME BERHAD

Job location: Subang Jaya/ Kuala Lumpur

Our company is seeking a talented and experienced Hardware Engineer to build machine learning rigs using consumer-grade components. The successful candidate will be responsible for designing, testing, and building custom computer systems that can handle intensive machine learning workloads. You will work closely with our data science team to understand their requirements and build high-performance rigs that meet their needs.

Key Responsibilities:

  • Design and build custom computer systems for machine learning workloads using consumer-grade components, ensuring compatibility of motherboard and GPU selection.
  • Overclocking CPU and computer memory manipulation for optimized performance.
  • Work closely with data science team to understand their requirements and translate them into hardware specifications.
  • Develop and test hardware prototypes to ensure reliability and performance.
  • Optimize computer systems for power consumption, cooling, and noise reduction.
  • Troubleshoot and resolve hardware issues in a timely manner.
  • Keep up-to-date with the latest developments in hardware technology and recommend improvements to existing systems.
  • Document hardware designs, specifications, and test results.

Requirements:

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or related field.
  • Strong understanding of computer hardware, including motherboard compatibility, processors, graphics cards, memory, and storage.
  • Experience in designing and building custom computer systems, preferably for machine learning workloads.
  • Proficiency in using hardware testing and benchmarking tools.
  • Expertise in overclocking CPU and computer memory manipulation.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently with minimal supervision.

Preferred Qualifications:

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • 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.
  • 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.

Company Overview

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

Job Type: Full-time

Pay: RM4,000.00 - RM7,000.00 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