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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 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 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.
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