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Bitdeer Technologies Group in Singapore is seeking a senior performance modeling engineer to lead full-chip models of the EtHash tile array, the NoC, and the 3D-DRAM bandwidth path. You will drive architecture decisions and partner with hash core, memory and compiler teams.
You will build cycle-approximate models in C++/SystemC and Python, perform roofline analyses, model traffic and QoS, and translate results into actionable recommendations for architecture freeze.
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.
You will build the models that tell us how fast the chip will actually run before any RTL exists, and keep telling us as the design evolves. Working at full-chip scope, you will model the EtHash tile array, the self-developed NoC, the 3D-DRAM bandwidth path. Your models drive the biggest architecture decisions: how many tiles, how much local memory, what NoC bandwidth and what memory QoS are needed to hit our performance targets within the power and thermal envelope. You will be the quantitative conscience of the architecture team and a close partner to the hash core, memory and compiler groups.
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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.