Your responsibilities:
• Designing and implementing machine learning compilers and
optimizations for company’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 company’s latest Autonomous/ADAS SoCs and platforms
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
