Senior Validation Engineer

Job SummaryWe 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 strong experience in Linux systems, automation, AI/ML validation, CI/CD workflows, and debugging complex hardware-software interactions.
Key ResponsibilitiesDesign 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 environments.Ensure release readiness through comprehensive test coverage and execution.Required SkillsTechnical SkillsStrong experience in:Python scripting and automationLinux systems and shell scriptingCI/CD tools such as Jenkins/GitHub ActionsDocker and containerized environmentsGit version controlEmbedded Linux systemsDebugging and log analysisValidation ExpertiseExperience with:Functional and regression testingSystem validationAI/ML model validationPerformance benchmarkingStress and reliability testingAutomation framework developmentPreferred AreasAI accelerator or semiconductor validationEdge AI platformsLLM/VLM validationOpenCV, TensorFlow, PyTorch, ONNXPCIe, USB, networking, and kernel driver validationDocker, GitHardware-software integration testingQualificationsBachelor’s or Master’s degree in:Computer ScienceElectronics & CommunicationElectrical EngineeringEmbedded SystemsRelated field5+ years of experience in validation, QA automation, embedded systems, or AI platform testing.Good to HaveExperience in semiconductor or AI hardware companies.Exposure to performance profiling and benchmarking tools.Experience with distributed systems and large-scale automation.Knowledge of compiler/runtime validation.Familiarity with model deployment pipelines and inference frameworks.Soft SkillsStrong debugging and analytical skillsExcellent communication and collaborationAbility to work in fast-paced product environmentsOwnership mindset and problem-solving attitudeAbility to coordinate across multiple engineering teamsExample Tools & TechnologiesPython, Bash, C/C++Jenkins, Docker, GitLinux, Ubuntu, Embedded LinuxPyTorch, TensorFlowRedisJira, Confluence
More information about NXP in India...
#LI-2734