Nxp
SeniorValidationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Validation Engineer at Nxp. Skills: Validation, AI/ML, Automation, Embedded Systems. Design validation plans. Execute validation plans”
What You'll Achieve.
Ensuring high-quality releases; Ensure release readiness through comprehensive test coverage and execution
Industry & Context.
Debugging; Log analysis; Crash analysis; Performance bottlenecks; System stability issues; Problem-solving attitude
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Electronics & Communication, Electrical Engineering, Embedded Systems, or Related field, 5+ years of experience in validation, QA automation, embedded systems, or AI platform testing
Nice to Have
AI accelerator or semiconductor validation, Edge AI platforms, LLM/VLM validation, OpenCV, TensorFlow, PyTorch, ONNX, PCIe, USB, networking, and kernel driver validation, Docker, Git, Hardware-software integration testing, Experience 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
What You'll Do.
Design validation plans
Execute validation plans
Validate AI/ML workloads
Develop automation frameworks
Maintain automation frameworks
Perform functional testing
Perform regression testing
Perform stress testing
Perform performance testing
Perform scalability testing
Build automated validation pipelines
Analyze performance bottlenecks
Analyze system stability
Create validation reports
Create quality metrics
Support customer validation
Manage lab infrastructure
Maintain lab infrastructure
Manage execution environments
Maintain execution environments
Ensure release readiness
How You'll Work.
Team & Collaboration
Work closely with software teams; Work closely with compiler teams; Work closely with runtime teams; Work closely with hardware teams; Work closely with DevOps teams; Coordinate across multiple engineering teams
Communication Scope
Excellent communication
Full Job Description
### 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 strong 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 environments. * Ensure release readiness through comprehensive test coverage and execution. ## Required Skills ### Technical Skills * Strong experience in: * Python scripting and automation * Linux systems and shell scripting * CI/CD tools such as Jenkins/GitHub Actions * Docker and cont
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