Cerebras

2 weeks ago

Cloud Quality Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Own end-to-end quality for ML API Features by testing AI/ML models for accuracy, fairness, and performance. Build tests and tools, drive automation to improve efficiency, and validate software and hardware components through pre-deployment and production readiness. Contribute to benchmarks, manage trade-offs between coverage and resources, and debug issues across distributed deployments while collaborating effectively across product, customer operations, and field teams across time zones.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Understand new features end-to-end and develop tests and tools to ensure quality.
•Test AI/ML models for accuracy, fairness, and performance for ML API Features.
•Drive automation efforts to improve internal efficiency and testing practice.
•Conduct pre-deployment/production validation for Cerebras inference solutions and SW/hardware integrations.
•Contribute to industry benchmarks, manage coverage vs. resource trade-offs, and debug issues across distributed deployments.

Key Requirements

•2+ years of experience in software integration, development, or quality.
•Strong automation and programming skills using one or more of Python, C++, or Go.
•Experience testing compute/ML/networking/storage systems in large-scale enterprise environments.
•Experience debugging issues across distributed scale-out deployments.
•Excellent verbal and written communication, with ability to collaborate across teams and time zones.

Experience:2+ yearsAI/MLEnterprise software

Skills:CommunicationOrganizational skillsTeamworkProblem-solvingDebugging mindset

Tech Stack:PythonC++GoMachine learningML frameworksMicroservicesDistributed systemsCloudCompilers

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

2 weeks ago

Cloud Quality Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Understand new features end-to-end and develop tests and tools to ensure quality.
•Test AI/ML models for accuracy, fairness, and performance for ML API Features.
•Drive automation efforts to improve internal efficiency and testing practice.
•Conduct pre-deployment/production validation for Cerebras inference solutions and SW/hardware integrations.
•Contribute to industry benchmarks, manage coverage vs. resource trade-offs, and debug issues across distributed deployments.

Key Requirements

•2+ years of experience in software integration, development, or quality.
•Strong automation and programming skills using one or more of Python, C++, or Go.
•Experience testing compute/ML/networking/storage systems in large-scale enterprise environments.
•Experience debugging issues across distributed scale-out deployments.
•Excellent verbal and written communication, with ability to collaborate across teams and time zones.

Experience:2+ yearsAI/MLEnterprise software

Skills:CommunicationOrganizational skillsTeamworkProblem-solvingDebugging mindset

Tech Stack:PythonC++GoMachine learningML frameworksMicroservicesDistributed systemsCloudCompilers

Company Brief

Cerebras

Industry: Hardware Devices

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

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn