AI Inference Core - Technical Lead Manager, Release Qual & Integration

What you'll do

• Define integration-testing strategy, ownership, coverage, readiness criteria, and escalation thresholds.
• Lead integrated inference-path validation, review release evidence, and approve readiness before release entry.
• Improve branch stability, automation, reporting, and rollout triage; drive debugging and root-cause analysis while mentoring engineers.

What they ask for

• Strong software-engineering fundamentals and programming ability in Python, Go, or a similar language.
• Technical leadership in software quality, test infrastructure, systems validation, release engineering, or complex software integration.
• Experience designing automation and test architecture for distributed, systems-level, infrastructure, or AI software.
• Strong understanding of risk-based testing, release readiness, regression strategy, failure analysis, and quality metrics.

Nice to have

• Experience with hardware accelerators, compilers, kernels, runtimes, or low-level systems.
• Experience with AI infrastructure, model deployment, LLMs, multimodal workloads, or large-scale compute clusters.

Tools

Python, Go

AI focus

Release integration testing and readiness for AI inference software, including model execution and cross-stack validation.