Senior Validation Engineer

What You'll Do

• 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 containerized environments Git version control Embedded Linux systems Debugging and log analysis Validation Expertise Experience with: Functional and regression testing System validation AI/ML model validation Performance benchmarking Stress and reliability testing Automation framework development Preferred Areas 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 Qualifications Bachelor’s or Master’s degree in: Computer Science Electronics & Communication Electrical Engineering Embedded Systems Related field 5+ years of experience in validation, QA automation, embedded systems, or AI platform testing.
• Good to Have 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.
• Soft Skills Strong debugging and analytical skills Excellent communication and collaboration Ability to work in fast-paced product environments Ownership mindset and problem-solving attitude Ability to coordinate across multiple engineering teams Example Tools & Technologies Python, Bash, C/C++ Jenkins, Docker, Git Linux, Ubuntu, Embedded Linux PyTorch, TensorFlow Redis Jira, Confluence More information about NXP in India... #LI-2734