AI Cluster Engineer

About Bitdeer:

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

What you will be responsible for:

• Study, understand, and optimize large-scale AI computing clusters
• Maintain and monitor AI cluster hardware and software environments
• Provide advanced engineering support across the entire AI compute stack:

o Systems: (Operating system configuration, job scheduling, containerization)
o Networking: (High-speed interconnects, fabric management, and optimization for AI model training)
o Storage: (Deploying and maintaining high-performance parallel file systems optimized for large datasets and AI workloads.)


• Collaborate with cross-functional teams on system upgrades or expansions
• Document architecture, configurations, and operational processes
• Participate in long-term planning for AI infrastructure growth
  
• Ensure high system availability and performance tuning
  
• Implement best practices for security, operations, and maintenance

How you will stand out:

• 5 years of experience in one or more of the following:

Large-scale server or data center operations
HPC / distributed cluster systems
GPU server environments

• Network, storage, or systems engineering
  
• Bachelor’s Degree in Computer Science, Information Technology or related fiel
  
• Strong understanding of server architecture, operating systems, networking, and storage
  
• Experience with large-scale compute systems, HPC, or distributed clusters preferred
  
• Ability to analyze and solve complex system and network issues
• Familiarity with AI/ML infrastructure or GPU-based environments is an advantage
  
• Excellent communication, documentation, and teamwork skills
• Preferred Qualifications

Background in data center operations or enterprise IT environments
Hands-on experience with cluster management tools or monitoring systems
Ability to work independently and proactively research new technologies

What you will experience working with us:

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.

(If related to MinerPlus Operations and has physical requirements)

Good to know:

Work Environment and Physical Demands

While performing the duties of this job, the employee may sometimes be exposed to heat, noise, and vibrations. The noise level in the work environment and job sites can be loud. The exposure will not be constant but could occupy a large amount of a person’s time during the day while on-site. Safety & Noise reduction equipment will be provided by the company. While performing the duties of this job, the employee is regularly required to talk and hear. The role allows working remotely flexibly where necessary.

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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.