1 день назад
Software Engineer on the Simulator Team (New College Grad) (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Engineer on the Simulator Team (New College Grad) (AI) (C++/Wafer-Scale Engine): Building functional and pipeline-accurate simulation infrastructure for Cerebras Wafer-Scale Engine systems with an accent on architectural correctness, performance visibility, and scalable internal tooling. Focus on developing simulator models, debugging interactions across kernels, compilers, runtimes, and hardware assumptions, and improving testing and runtime performance.
Location: On-site at the Sunnyvale headquarters/office or Toronto office
Company
builds large-scale AI hardware and software infrastructure based on its Wafer-Scale Engine architecture.
What you will do
- Develop and maintain C++ simulator infrastructure for next-generation Wafer-Scale Engine systems.
- Contribute to functional simulation covering architectural correctness, instruction behavior, state, and memory semantics.
- Develop pipeline-accurate simulation for execution behavior, bottleneck analysis, and performance visibility.
- Build tooling that helps kernel developers, compiler and runtime teams, architects, and verification engineers understand correctness and performance.
- Collaborate with design verification and architecture teams to align simulator behavior with hardware specifications.
- Improve test coverage, runtime performance, scalability, usability, documentation, and engineering workflows.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- Strong C++ programming skills and software engineering fundamentals.
- Understanding of computer architecture, including instruction execution, memory systems, and microarchitecture basics.
- Strong debugging, analytical, and problem-solving skills.
- Ability to collaborate across software and hardware teams.
- Availability for on-site work at the Sunnyvale or Toronto office.
Nice to have
- Experience with architectural, functional, or performance modeling.
- Experience with test automation, regression systems, or CI pipelines.
- Python or scripting experience for tooling and automation.
- Familiarity with parallel systems, accelerators, or ML/HPC workloads.
Culture & Benefits
- Work on an AI platform designed beyond traditional GPU constraints.
- Opportunity to contribute to cutting-edge AI research and open-source work.
- Work with one of the fastest AI supercomputers in the world.
- Startup vitality combined with job stability.
- Non-corporate culture focused on individual beliefs, continuous learning, growth, and inclusion.
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