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Lightmatter

Staff Software Engineer- ML Hardware Modeling (Toronto)

Toronto, Ontario Canada
Python Machine Learning C++
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Description

Staff Software Engineer - ML Hardware Modeling

Lightmatter builds chips that enable extreme-scale artificial intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter!

We are looking for talented software engineers to help us build the next generation of AI processors and large-scale systems. Lightmatter’s unique technology has the potential to alter the architecture of large-scale computers. In this role, you will be responsible for simulations and analysis of design concepts and planned hardware at multiple levels of scale and detail that will play a key role in the hardware-software codesign of future systems.

Responsibilities

  • Design, development, and maintenance of functional and performance models for design concepts and planned hardware, at both the subsystem and system levels
  • Participate in the co-design process by working closely with both hardware and software teams by providing initial pathfinding analysis, developing early analytical models, and more detailed event-based simulations, improving fidelity as designs progress
  • Collaborate with machine learning and compiler teams to construct and evaluate the performance of machine learning workloads
  • Contribute to successful execution for planned hardware by building detailed cycle approximate performance and functional models that help drive microarchitectural design and validation
  • BS or higher in computer/software engineering, electrical engineering, or related field
  • 8+ years of industry experience in hardware modeling, system simulation, computer architecture, or related fields
  • Proficient with C++ and Python

Preferred Qualifications

  • Familiarity with machine inference and training learning workloads
  • Experience with modeling and analysis of machine learning accelerator architectures and/or large-scale distributed systems
  • Proficient developing in a Linux-based environment
Lightmatter
Lightmatter
Artificial Intelligence (AI) Hardware Machine Learning Semiconductor Software

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