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Cerebras Systems

Release Qualification Team Lead

RemoteIndia only
Published
Role
QA
Experience
Lead
Employment
Full-time
Salary not disclosed
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Open to IN only. Set where you work from to check your eligibility.

No BS summary

Lead-level owner for weekly end-to-end release qualification, building and running a release qualification team. Requires 7+ years in software integration/development/quality engineering with strong debugging experience in distributed systems and automation/programming (one or more languages such as Python). Applicants must be located in India.

Required skills

Python

Optional skills

LLMmultimodal training or inferencemicroservices deploymentcloud infrastructurehardware-backed inference services

What you'll do

  • Drive weekly end-to-end release qualification as the accountable owner from our org.
  • Build and run a purpose-built release qualification team so triage capacity is planned, not scrambled.
  • Own the full release qualification lifecycle: test planning, release planning, documentation, and tooling.
  • Own triage, debug, and escalation during release windows — including deciding what blocks a release and routing fixes to the right owners.
  • Drive expanded end-to-end coverage across Cloud, Inference Platform, and Inference API and mentor engineers on triage and qualification methodology.

What they require

  • 7+ years of relevant industry experience in software integration, development, or quality engineering, including prior release qualification experience.
  • Proven ownership of end-to-end release or qualification processes for complex, distributed systems.
  • Strong track record of debugging complex issues across distributed, scaled-out deployments under release-blocking time pressure.
  • Deep expertise in automation and programming using one or more languages such as Python and building reusable test frameworks from the ground up.
  • Experience leading and mentoring engineers across geographically dispersed teams and time zones.

Benefits

  • Publish and open source cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Job stability with startup vitality.
  • A simple, non-corporate work culture that respects individual beliefs.
  • Continuous learning, growth and support.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

AI HardwareStartup

Details

Visa sponsorshipNo
Salary not disclosed