Machine Learning Developer, Software Automation - Internship (PEY 2023)

Cerebras Toronto

Cerebras is based in Sunnyvale, California, with its second engineering hub – the AI Centre of Excellence – located in Downtown Toronto. Toronto houses our Machine Learning and Software organization and has some of the most talented ML, optimization, and high-performance computing talent in the world. We have already built out an experienced team of over 50 engineers and computer scientists that are driving forward the next generation of our machine learning stack. 

About The Role

As a Software Automation Engineer, you will use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, scalability, and other advanced quality concepts. The position will play a huge role in the quality of Cerebras software. We are looking for engineers that have a broad set of technical skills and who are ready to tackle the biggest at-scale problems in HW-based deep learning accelerators.

Responsibilities

• Write scripts to automate testing and create tools to allow easy development of software regression tests
• Help identify weak spots and potential customer pain points and drive the software organization towards customer focused quality metrics
• Implement creative ways to break software and identify potential problems
• Contribute to developing requirements specifications with a focus on developing verification tests

Requirements

• Currently enrolled in a University degree in Computer Science, Computer Engineering, or other related discipline
• Experience in developing automated tests for compute/machine learning or networking systems within a large-scale enterprise environment
• Ability to take responsibility for monitoring product development and usage at all levels with an end goal toward improving product quality
• Strong knowledge of software system design, C++ and Python

Preferred

• Strong software testing experience with a proven track record in scaling highly technical teams
• Knowledge of UNIX/Linux and Windows environments
• Knowledge of neural network architecture and ML/AI deep learning principles
• Prior experience in designing and developing test automation for HW systems involving ASICs or FPGAs
• Prior experience working with live hardware systems and debug tools operating in a real time environment such as networking devices or live computing systems

Term Length

• 12-16 months starting May 2024

Please apply with BOTH your resume and transcript (official or unofficial)