Staff Software Engineer - ML hardware modelling

HRB; Canada; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A leading company focused on AI computing seeks talented software engineers to develop next-gen AI processors. This role emphasizes collaboration across hardware and software teams to significantly impact future optical computing systems through simulations and detailed analysis.

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

Qualifications

• 8+ years of industry experience in hardware modeling, system simulation.
• Proficient in C++ and Python programming.

Responsibilities

• Design, develop, and maintain functional models for hardware.
• Collaborate with teams to improve performance of machine learning workloads.
• Build cycle approximate performance models to support design validation.

Skills

C++

Python

Education

BS in Computer/Software Engineering

BS in Electrical Engineering

Tools

Linux-based environment

Job description

Description

Our client builds chips for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. 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

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