Machine Learning Engineer

As a contractor, you will collaborate this highly energetic, global and innovative team, you will be involved and participate in various development phases of next generation machine learning system.

Your responsibilities

• Designing and implementing machine learning compilers and optimizations for NXP's edge computing platforms

• Evaluating and optimizing state of the art deep learning algorithms for resource-constrained environments

• Developing compiler transformations and optimizations to maximize performance of ML models on embedded hardware

• Contributing to our AI compiler toolchain for efficient model deployment on NXP's latest Autonomous/ADAS SoCs and platforms

Who we’re looking for

To ensure your success in this role, the following experience is needed:

Must have skills:

• Solid experience with ML compiler frameworks such as TVM, ExecuTorch, MLIR, glow, or similar technologies

• Experience with deep learning frameworks like TensorFlow, PyTorch, TVM, ExecuTorch

• Experience with Source Code and Configuration management tools such as git

Any of the following are pluses:

• Advanced knowledge of compiler intermediate representations (IRs) and compilation pipelines

• Experience with LLVM ecosystem and compiler backend development

• Prior knowledge and experience working with state of art deep learning algorithms: SSD, Inception, YOLO, LLM and etc.

• Experience with specialized hardware acceleration (NPU, GPU, DSP) for ML workloads-

• Machine learning, deep learning, computer vision, or image processing based application development

Attentive to details, self-motivated and able to be a team player while working independently.