Sr Staff Engineer - Verification, CI/CD Infrastructure & Embedded Hardware (AISW)

* Architect and scale large-distributed CI/CD systems with high throughput and low flakiness.

* Design automated workflows: build, package, deploy, flash, run, log-collection, triage, dashboarding.

* Develop scheduling/orchestration layers for thousands of HW-based regression tests.

* Implement monitoring, telemetry, and automated mitigation for CI stability.

* Automate flashing, provisioning, power/reset, and new chipset bring-up.

* Design hardware-in-loop validation for stability, thermal, long-run correctness, and performance.

* Own coverage strategy for throughput, correctness, memory behavior, and runtime scheduling.

* Develop automated triage signals and failure classification systems.

* Eliminate flakiness and nondeterminism in HW test environments.

* Maintain CI/verification pipelines for internal and open-source projects.

* Enforce PR gating, reproducible builds, artifact management, and API correctness.

* Influence DevOps, firmware, and platform teams using data-driven insights.

* Align infrastructure capabilities with program milestones and customer requirements.

* Produce high-quality documentation for CI architecture, HW frameworks, and best practices.

* Drive continuous improvement and streamline reproducible HW testing workflows.

* 10+ years in CI/CD engineering, verification, embedded systems, or runtime/toolchain development.

* Expertise designing/scaling CI/CD (Buildkite, Jenkins, GitLab CI, GitHub Actions).

* Deep experience integrating embedded hardware into automated pipelines.

* Background in firmware flashing, device provisioning, power/reset automation, and board-farm debugging.

* Experience maintaining open-source verification pipelines.

* Experience with heterogeneous compute validation (DSP/GPU/CPU/NPU).

* Background in silicon bring-up or hardware-in-loop systems.

* Experience with large device-farm operation and automation.

* Highly stable, scalable CI/CD pipelines with reduced failures/flakiness.

* Strong embedded target coverage with reproducible signals.

- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.