Cerebras

1 day ago

ML Software Engineer - Integration & Quality - New Grad

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Join the ML Integration and Quality team to help integrate, test, and validate the software stack powering the Cerebras AI platform. Work with engineers across runtime, compiler, kernel, infrastructure, and hardware to investigate failures, build automation, and improve release quality. You’ll contribute to testbeds, reproduce and troubleshoot issues across the ML software stack, enhance tooling and observability workflows, and support distributed-system validation at scale.

Location: Sunnyvale, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Entry level

Key Responsibilities

•Integrate and validate software components across the Cerebras AI platform.
•Develop automated tests and tools for integration, system validation, and release quality.
•Investigate software failures, test regressions, and unexpected system behavior with support from senior engineers.
•Collaborate with engineers across ML runtime, compiler, kernel, infrastructure, and hardware teams.
•Improve tooling and debugging workflows and help reproduce, document, and troubleshoot issues across the ML software stack.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related technical field.
•Strong programming fundamentals in Python, C++, Go, Java, or a similar language.
•Understanding of core computer science concepts such as data structures, algorithms, operating systems, or computer architecture.
•Experience debugging software through internships, research, or co-op placements.
•Familiarity with software development practices including version control, unit testing, and code reviews.

Education:Bachelor's

Skills:Analytical problem-solvingCommunicationCollaborationAttention to detailWillingness to learn

Tech Stack:PythonC++GoJavaPyTorchTensorFlowJAXLinuxDockerKubernetes

Company Brief

Cerebras

Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn

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Cerebras

1 day ago

ML Software Engineer - Integration & Quality - New Grad

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Sunnyvale, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Entry level

Key Responsibilities

•Integrate and validate software components across the Cerebras AI platform.
•Develop automated tests and tools for integration, system validation, and release quality.
•Investigate software failures, test regressions, and unexpected system behavior with support from senior engineers.
•Collaborate with engineers across ML runtime, compiler, kernel, infrastructure, and hardware teams.
•Improve tooling and debugging workflows and help reproduce, document, and troubleshoot issues across the ML software stack.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related technical field.
•Strong programming fundamentals in Python, C++, Go, Java, or a similar language.
•Understanding of core computer science concepts such as data structures, algorithms, operating systems, or computer architecture.
•Experience debugging software through internships, research, or co-op placements.
•Familiarity with software development practices including version control, unit testing, and code reviews.

Education:Bachelor's

Skills:Analytical problem-solvingCommunicationCollaborationAttention to detailWillingness to learn

Tech Stack:PythonC++GoJavaPyTorchTensorFlowJAXLinuxDockerKubernetes

Company Brief

Cerebras

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn