Power Quality Engineer
Bitdeer is a NASDAQ-listed company specializing in Bitcoin mining, AI cloud services, and data center operations. They provide comprehensive mining solutions, AI development services, and operate seven global data centers with a significant portion of their energy being carbon-free.
About Bitdeer Technologies Group
Bitdeer is a high-performance computing platform that specializes in Bitcoin mining and AI cloud services. The company constructs and operates numerous cutting-edge data centers globally, including one of North America's largest, with a focus on using clean energy. Their product offerings include SEALMINER, which are high-performance and efficient chips; Cloud Mining services that allow users to participate in mining remotely; and Minerbase, a mobile intelligent cooling system. In addition to their crypto-focused services, Bitdeer is expanding into the AI sector by providing high-performance computing for AI/ML acceleration using NVIDIA DGX H100s, offering turnkey AI datacenter solutions, and developing an end-to-end AI application sharing ecosystem. They cater to both individual and institutional clients with a range of services like after-sales support, a hash rate market, and data center support.
Skills
About the Role
You will support the daily operations of global data centres, ensuring the stability and efficiency of high-performance computing equipment and related assets. Through power quality monitoring, analysis, and optimization, you will reduce equipment failures and energy losses caused by harmonics, voltage fluctuations, and other disturbances, providing reliable power assurance for high-density computing facilities. You will work on-site with professional power quality analyzers, process and analyze data using tools like Python and MATLAB, identify disturbance sources, propose mitigation solutions, and participate in battery energy storage system integration assessments while staying current with international power quality standards.
Requirements
- Bachelor's degree or above in Electrical Engineering, High Voltage Technology, or related fields (Master's degree is advantageous)
- At least 5 years of experience in power quality analysis, data center power systems, or energy storage projects
- Proficient in on-site operation, data acquisition, and analysis using Fluke or equivalent power quality analyzers
- Familiar with international power quality standards (IEC 61000-4-30, IEEE 519, EN 50160, and related series)
- Proficient in data analysis tools (Python, MATLAB, advanced Excel functions, etc.) with strong statistical analysis and programming capabilities
- Experience in BESS integration, harmonic mitigation, or data center power projects
- Proficiently read technical documents and participate in international conferences
- Knowledge of data centre Tier standards and UPS/storage backup power integration experience
- Able to travel about 50% of the time
Responsibilities
- Develop and implement power quality monitoring plans for data centres and critical power systems to support power availability targets (Tier III/IV class)
- Perform on-site installation, commissioning, and long-term/temporary monitoring using professional power quality analyzers, collecting parameters including voltage, frequency, harmonics, three-phase imbalance, flicker, and voltage dips/swells
- Conduct power quality data processing and statistical analysis with Python, MATLAB, or Excel, including 95th percentile evaluation, exceedance rate calculation, event waveform assessment, and trend reporting aligned with IEC 61000 series
- Identify disturbance sources including non-linear loads such as servers, UPS, and energy storage PCS inverters, and propose mitigation solutions such as active/passive filters and reactive power compensation
- Participate in battery energy storage system integration assessments, conduct pre-connection power quality reviews, on-site testing, and verification of harmonics, fluctuations, and fault ride-through metrics
- Track international power quality standards and technology trends and participate in internal technical sharing and training
