Full-Chip Performance Modeling Engineer

Bitdeer Technologies Group

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Career growth
Flexible work environment

Job summary

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.

Qualifications

  • 5+ years of performance modeling/architecture for SoCs or accelerators.
  • Strong C++ and Python; SystemC or similar modeling framework.
  • Solid understanding of memory hierarchy and NoC behavior.
  • Experience turning models into architectural decisions.
  • Team-oriented, able to collaborate across architecture, design and software.

Responsibilities

  • Full-chip performance models in C++/SystemC and Python.
  • Produce roofline analyses mapping workloads to memory hierarchy.
  • Model NoC contention, memory bandwidth and QoS under realistic traffic.
  • Run parameter sweeps and provide actionable recommendations.
  • Correlate model predictions with RTL, emulation, or silicon.
  • Provide performance references and golden-model hooks.
  • Maintain dashboards and trade-off decks for leadership.

Skills

C++
Python
SystemC
Architecture fundamentals
Performance modeling

Education

BS in Computer Science or Electrical Engineering

Tools

RTL emulation

Job description

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.

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