Job Description

Description:

Seeking an experienced system engineer to join our team. The ideal candidate will have a strong background in system architecture, cloud infrastructure, and GPU technologies. This role involves designing, implementing, and maintaining robust systems that support AI, machine learning, and high-performance computing workloads. This role will be instrumental in ensuring the reliability, scalability, and efficiency of our GPU services, enabling our customers to achieve exceptional performance for their AI projects.

BASIC QUALIFICATIONS

Bachelor's degree in Computer Science or a related technical field Proven experience (3+ years) as a System Engineer or in a similar role within IT infrastructure or cloud services. Introduce technology and software to improve the performance, resiliency, and quality of service in IT infrastructure. Strong experience in managing bare metal servers, GPU infrastructure, or high performance computing systems. Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks. Possess a deep understanding of Linux fundamentals. Understand the Kubernetes environments and be able to run the debugging.

Key Responsibilities:

Design and deploy scalable, high-performance systems that leverage GPU resources for AI applications. Ensure optimal configuration for various workloads. Manage and maintain the underlying infrastructure, including servers, networking, and storage solutions. Monitor system performance and implement necessary optimizations. Work closely with software engineers and customers to understand their requirements and provide the necessary infrastructure support for AI model training and deployment. Implement, manage, monitor, and maintain the platform to ensure optimal performance and high reliability. Provide technical guidance across complex infrastructure projects. Diagnose and resolve system issues related to hardware, software, and network performance. Provide technical support for internal teams and customers as needed. Develop automation scripts to streamline system deployment, monitoring, and maintenance tasks. Explore the possible enhancements to improve the daily process and troubleshooting/ticketing procedure. Create and maintain comprehensive documentation for system configurations, processes, and procedures to ensure knowledge sharing within the team.

Desired Skills:

Exceptional communication skills, capable of discussing both technical and non-technical topics with diverse audiences. Strong interpersonal skills, with a proven ability to develop professional relationships across business and technical teams. Hands-on experience with storage systems (e.g., NVMe, SAN, NAS), networking concepts, and protocols (e.g., TCP/IP, RDMA) will be advantageous. Knowledgeable in operating ticketing system and troubleshooting process in CPU/GPU cluster. Excellent documentation skills to effectively articulate technical designs, issues, procedures, and assessments. Strong understanding of GPU architectures, virtualization technologies, and bare metal provisioning is a plus. Strong analytical and troubleshooting skills with a customer-centric approach.
Job Type: Permanent

Pay: RM5,000.00 - RM7,000.00 per month

Application Question(s):

Do you have experience in System Engineer or in a similar role within IT
infrastructure or cloud services? If yes, how long?

Have experience in managing bare metal servers, GPU infrastructure, or high
performance computing systems?

Do you familiar with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks?
Location:

Kulai (Kulai, 81000) (Required)
Work Location: In person