Staff Software Engineer - ML hardware modelling

hireVouch$130K — $180K *
US-AnywhereRemote in Canada
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS or higher in computer/software engineering, electrical engineering, or a related field.
  • 8+ years of industry experience in hardware modeling, system simulation, or computer architecture.
  • Proficient in C++ and Python.
  • Familiarity with machine inference and training learning workloads preferred.
  • Experience with large-scale distributed systems or machine learning accelerator architectures is an asset.
  • Comfortable developing in a Linux-based environment.

Responsibilities

  • Design, develop, and maintain performance models for hardware at subsystem and system levels.
  • Participate in co-design by working with hardware and software teams to provide analytical models.
  • Collaborate with machine learning and compiler teams to evaluate performance of workloads.
  • Build detailed cycle approximate performance models that aid in microarchitectural design validation.
  • Conduct simulations and analyses of design concepts across multiple scales and details.

Benefits

  • Comprehensive Health Care Plan.
  • Group Retirement Savings Plan matching.
  • Life Insurance.
  • Generous Time Off (including vacation, sick days, and public holidays).
  • Opportunities for Training & Development.
  • Flexible, hybrid workplace model.
  • Participation in a Stock Option Plan.
Full Job Description
We are looking for talented software engineers to help us build the next generation of AI processors and large-scale systems. Our 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 Requirements • 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 Benefits • Comprehensive Health Care Plan • Group Retirement Savings Plan matching • Life Insurance • Generous Time Off (Vacation, Sick & Public Holidays) • Training & Development • Flexible, hybrid workplace model • Stock Option Plan

About hireVouch

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