Software Engineer - ML hardware modelling

Position: Staff Software Engineer - ML hardware modelling
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

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