Senior Principal Embedded AI/ML Engineer (m/f/d)

At theNXP AICompetence Centerwe arelooking for an Embedded AI/ML Engineer passionate about EdgeAI and AI methodologies. Leverage your creativity for supporting our team in numerous EdgeAI projects. With your motivation and ideas you contribute to develop yourself and the team skills further.

Are you inspired by machine learning data AI high performance computing and are you ready for a new challenge by maintaining the highperformance computing farm for AI training Do you want to contribute to enabling stability and reliability of a GPUcluster to support the experts in enabling real world applications and to gain experience developing innovative ideas and improving the system Then you will want to be a part of the growing Artificial Intelligence Competence Center at NXP a leading semiconductor company.

Our responsibilities are in the areas described below where the exact responsibility of the candidate is determined taking his capabilities in mind:

• Identify evaluate and continuously track the latest technologies for Edge AI optimization software

• Enable optimization techniques such as quantization pruning distillation neural architecture search etc. both for discriminative AI (CNNs RNNs Transformers etc.) and Generative AI (LLMs Stable Diffusion etc.) at the Edge.

• Identify evaluate and continuously track the latest technologies in AI for radarsystems (sensor fusion advanced sensor functionalities improved sensing capabilities etc.)

• Build demonstrators and proofofconcepts for EdgeAI applications and methodologies

• Address data domain generalization gaps over sensors configurations and datasets

• Methods are applied to vision radar audio and other timeseriesdata for both Automotive as well as IoT & Industrial markets

• Executing the above in cooperative and EUsupported projects with external partners (universities companies) and in NXPs long term innovation program (research)

Your Profile

• University degree: MSc PhD or PDEng in a technical specialism like Computer Science or equally relevant.

• 10 years of experience in (software) engineering with significant exposure/involvement with Machine Learning / AI required

• Affinity and experience with embedded systems software and NPU accelerators required.

• Experience with embedded software architectures build systems version control systems required.

• Broad experience with Operating systems GNU/Linux embedded systems development boards and processors and SW competencies required.

• Excellent communication skills in English (verbal /written) required. Experience in working in/with multisite and multicultural projects/teams preferred.

Your Competencies

• To give you a feeling for the types of competences some examples are:

• Trackrecord experience in working with AI frameworks (PyTorch TensorFlow etc.) required.

• Understanding of AI toolchains deployment portability and inference engines (CUDA TensorRT TFLite ONNX etc.) preferred.

• Familiarity with setting up and maintaining related MLOps development environments (MLFlow ClearML etc.) required.

• Knowledge of build systems (YOCTO OpenEmbedded etc.) beneficial working with crosscompilation toolchains for ARM preferred.

• Solid programming experience of C C Python and Bash programming languages on Linux systems required.

• Experience with ondevice learning and federated learning appreciated.

• Familiarity with future technologies for extreme efficiency such as inmemory analog and neuromorphic computing beneficial.

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