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

Role overview

What you will do

• Set Release Integration Testing strategy, ownership boundaries, criteria, coverage expectations, and escalation thresholds.
• Identify risks and dependencies across inference runtime, host, device programming, memory, scheduling, model execution, infrastructure, and hardware.
• Review unit, simulation, benchmark, feature-test, and integration evidence; document gaps and approve readiness before release entry.
• Lead integrated inference end-to-end validation and strengthen release regression coverage.
• Improve branch stability with metrics, failure classification, reporting, dashboards, workflows, and pipelines.
• Lead triage, root-cause analysis, issue resolution, coverage improvements, and rollout planning.
• Mentor and partner across engineering teams; advance automation, diagnostics, probes, and test planning.

Minimum qualifications

• Strong software engineering and programming ability in Python, Go, or a similar language.
• Technical leadership in software quality, test infrastructure, systems validation, release engineering, or complex integration.
• Test automation and architecture experience for distributed, systems-level, infrastructure, or AI software.
• Ability to investigate cross-stack failures and drive evidence-based resolution.
• Strong understanding of risk-based testing, release readiness, regression, failure analysis, and quality metrics.
• Ability to influence teams and communicate technical risk clearly, including under release pressure.

Preferred experience

• Software/hardware co-design, accelerators, compilers, kernels, runtimes, or low-level systems experience is preferred.
• AI infrastructure, model deployment, LLMs, multimodal workloads, or large-scale compute experience is preferred.
• Test frameworks, distributed test systems, release pipelines, dashboards, developer tooling, performance testing, profiling, observability, fault injection, reliability, or production failure analysis experience is preferred.
• Distributed-team management and experience in startup or fast-moving environments are preferred.
• Containers, cluster orchestration, cloud infrastructure, CI/CD, or high-performance computing familiarity is preferred.

Workplace

• The role requires in-office presence at least three days per week; fully remote work is not available.
• Office locations are Sunnyvale, California, or Toronto, Ontario.

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