Cerebras

1 day ago

AI Inference Core - Junior SDET, Release Integration Testing

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 26 minutes agoStatus: Live

Job Summary

Build and maintain automated tests and diagnostics to qualify AI Inference Core changes before production release. Work in the Release Integration Testing (RIT) function to collect integration evidence, triage regression and rollout failures, and help keep master and release branches stable. Collaborate across integration, core infrastructure, and feature teams while writing Python/Go test automation and executing cross-stack end-to-end validation for models, runtime, and platform capabilities.

Location: Sunnyvale, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Entry level

Key Responsibilities

•Develop, run, and maintain automated tests for models, features, system behavior, integration, regression, and releases across the AI stack.
•Collect unit, simulation, benchmark, feature-test, and integration evidence; document gaps; and execute cross-stack end-to-end workflows to promote durable scenarios into release regression.
•Engage with inference-core features before qualification completes to understand dependencies, interaction risks, and required integration scenarios.
•Help maintain master and release-branch stability by triaging regression and rollout failures, escalating with clear evidence, validating fixes, and verifying closure.
•Write Python/Go (or similar) code for test automation, diagnostics, testbeds, data analysis, dashboards, qualification workflows, and release pipelines.

Key Requirements

•Strong software-engineering fundamentals and programming ability in Python, Go, or a similar language.
•Experience building, testing, or debugging software through internships, research, academic projects, open source, or personal projects.
•Basic understanding of data structures, algorithms, operating systems, networking, or distributed-systems concepts.
•Ability to break down problems, form hypotheses, gather evidence, and learn from unexpected results.
•Clear communication and collaboration while working through ambiguity with guidance.

Skills:CommunicationCollaborationProblem-solvingDebuggingLearning

Tech Stack:PythonGoCI workflowsDashboardsLogsMetricsDebuggersProfilersObservabilityContainersCloud environments

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

AI Inference Core - Junior SDET, Release Integration Testing

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 26 minutes agoStatus: Live

Job Summary

Location: Sunnyvale, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Entry level

Key Responsibilities

•Develop, run, and maintain automated tests for models, features, system behavior, integration, regression, and releases across the AI stack.
•Collect unit, simulation, benchmark, feature-test, and integration evidence; document gaps; and execute cross-stack end-to-end workflows to promote durable scenarios into release regression.
•Engage with inference-core features before qualification completes to understand dependencies, interaction risks, and required integration scenarios.
•Help maintain master and release-branch stability by triaging regression and rollout failures, escalating with clear evidence, validating fixes, and verifying closure.
•Write Python/Go (or similar) code for test automation, diagnostics, testbeds, data analysis, dashboards, qualification workflows, and release pipelines.

Key Requirements

•Strong software-engineering fundamentals and programming ability in Python, Go, or a similar language.
•Experience building, testing, or debugging software through internships, research, academic projects, open source, or personal projects.
•Basic understanding of data structures, algorithms, operating systems, networking, or distributed-systems concepts.
•Ability to break down problems, form hypotheses, gather evidence, and learn from unexpected results.
•Clear communication and collaboration while working through ambiguity with guidance.

Skills:CommunicationCollaborationProblem-solvingDebuggingLearning

Tech Stack:PythonGoCI workflowsDashboardsLogsMetricsDebuggersProfilersObservabilityContainersCloud environments

Company Brief

Cerebras

Industry: Hardware Devices

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

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn