NPU System Optimization Engineer

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AI System Optimization Engineer
role at
Bitdeer (NASDAQ: BTDR)
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AI System Optimization Engineer
role at
Bitdeer (NASDAQ: BTDR)
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About Bitdeer
Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.
About Bitdeer
Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.
What You Will Be Responsible For
Responsible for developing large model operators, optimizing parallel strategies, and improving performance for both inference and training.
Build an industry-leading high-performance large model compilation system through the design and performance optimization of self-developed NPU software and hardware systems.
Collaborate closely with the chip department for joint hardware-software optimization.
Conduct research and introduction of cutting-edge technologies for large models.
How You Will Stand Out
Possesses a Masters or Bachelors degree in Computer Science, Electronics, Automation, Software, or related fields; proficient in C/C++ or Python, with strong knowledge of algorithms and data structures.
Skilled in high-performance computing optimization techniques for self-developed NPUs/GPUs, with a deep understanding of computer architecture.
Familiar with distributed parallel computing optimization, memory access optimization, and low-bit computation.
Familiar with the basic principles of deep learning algorithms, neural network architecture, and operator computation methods; knowledgeable in at least one deep learning training framework, such as PyTorch, TensorFlow, or MindSpore.
Familiar with compilation frameworks such as TVM, MLIR, XLA, LLVM; experience in operator acceleration and optimization is a plus.
Familiar with mainstream LLM (Large Language Model) architectures; experience with acceleration and optimization of LLM models and tools like TensorRT-LLM, ORCA, VLLM is preferred; capable of resolving complex problems encountered during the optimization process.
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.
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.
Seniority level
Seniority level Not Applicable
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Software Development
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