TL;DR

Ml Accelerator Modeling Engineer (Hardware Engineering): Develop architectural models and tools for machine learning accelerators focusing on performance, correctness, and system-level compute architectures. Focus on designing cycle-level simulations, performance analysis, and cross-functional collaboration to optimize hardware and software integration.

Location: Hsinchu City or Taipei City, Taiwan (Onsite/Hybrid)

Salary: 2,600,000–3,150,000 TWD

Company

%hirify_global% is an autonomous driving technology company focused on building the world's most experienced driver through advanced compute platforms and autonomous vehicle software.

What you will do

Create architectural models for machine learning accelerator exploration, development, and verification.
Analyze workloads and define representative microbenchmarks for functional and performance goals.
Ensure equivalence between hardware and simulator implementations for correctness and performance correlation.
Build scalable tools for modeling, performance analysis, and optimization.
Collaborate with cross-functional engineering teams to identify opportunities and requirements.

Requirements

Location: Must be based in or able to work onsite in Hsinchu City or Taipei City, Taiwan.
BS degree in Computer Science, Computer Engineering, or equivalent practical experience.
3+ years modeling complex, high-performance architectures for functionality and/or performance.
Experience with cycle-level simulation frameworks such as SystemC or Gem5.
Strong C++ programming skills and familiarity with software development methodologies.
Solid foundation in computer architecture and digital logic design principles.

Nice to have

1+ years experience modeling machine learning architectures in C++ simulators.
Experience building tools for software and hardware teams for performance understanding and debugging.
Experience writing and debugging microbenchmarks for performance correlation and correctness.
Strong English communication skills (written and verbal).

Culture & Benefits

Top-notch medical, dental, and vision insurance, mental wellness support, and gym membership.
Competitive compensation, bonus opportunities, equity, and employee provident fund.
Flexible work options including onsite, hybrid, and remote opportunities with paid time off and family support leave.
Education reimbursement, professional development, mentorship, and employee resource groups.
Access to Google offices, wellness centers, and at-home fitness and cooking classes.