AI SWE

**Role Summary:** * Work closely with technical marketing, product, and customer support teams in understanding the benchmark data requirements.  Explore various bench marking methods , tools used in vision,LLM/VLM models and adopt the same to evaluate Kinara products * Writing and optimizing scripts for deep learning model deployment and benchmarking.  Preparing detailed benchmarking and analysis reports for engineering and marketing stakeholders. **Job Responsibility:** * Proficiency in Python (for AI workload scripting/optimization), C or C++ (for low-level performance work). * Familiarity with AI accelerators, LLM frameworks, and inference servers. * Measuring and reporting on latency, throughput, accuracy, and power consumption of AI workloads. * Familiarity with MLPerf and MLFlow bench marking suites for computer vision models * Familiarity with various LLM bench mark methods like MMLU, HumanEval, GSM8K, ARC Challenge, GPQA..etc * Working knowledge of Linux environments and device driver internals is often preferred. * Familiarity with CI/CD tools, version control (GitHub), and automation frameworks. **Job Qualification:** * BTech in ECE/CS 4+ years of experience, Machine Learning, or a related field. * Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch. * Experience in developing AI workload flows in C++ and Python * Experience in performance evaluation of hardware and software systems. [More information about NXP in India...](https://www.nxp.com/company/about-nxp/worldwide-locations/india:INDIA) #LI-29f4