Cloud Quality Engineer

Cerebras
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 2+ yearsSkills: ["Communication","Organizational skills","Teamwork","Problem-solving","Debugging mindset"]

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.

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FursaFursa
Cerebras
Cerebras
2 months ago

Cloud Quality Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 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
WebsiteLinkedIn