Job Summary
We are looking for a Validation Engineer to validate and qualify AI software, firmware, hardware, and system-level features for edge AI accelerator platforms. The role involves designing validation strategies, developing automation frameworks, executing functional and performance testing, and ensuring high-quality releases across embedded and AI workloads.
The ideal candidate should have robust experience in Linux systems, automation, AI/ML validation, CI/CD workflows, and debugging complex hardware-software interactions.
Key Responsibilities
Design and execute validation plans for AI accelerator platforms, embedded systems, and SDK releases.
Validate AI/ML workloads including LLMs, VLMs, vision, audio, and NLP models across different hardware targets.
Develop and maintain automation frameworks using Python, Bash, Jenkins, and CI/CD pipelines.
Perform functional, regression, stress, performance, and scalability testing.
Validate PCIe, USB, networking, memory, storage, and system-level interfaces.
Debug issues across firmware, kernel drivers, runtime,



and application layers.
Work closely with software, compiler, runtime, hardware, and DevOps teams for issue triaging and release qualification.
Build automated validation pipelines for nightly, release, and PR-based testing.
Analyze logs, crashes, performance bottlenecks, and system stability issues.
Create detailed validation reports, dashboards, and quality metrics.
Support customer-specific validation and benchmarking activities.
Manage and maintain lab infrastructure, devices, and automated execution environments.
Validate deployments across x86, ARM, Linux, containerized, and cloud-based settings.
Ensure release readiness through comprehensive test coverage and execution.

Required Skills
Technical Skills
Solid experience in:
Python scripting and automation
Linux systems and shell scripting
CI/CD tools such as Jenkins/GitHub Actions
Docker and containerized env

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