On-site
Part Time
Location: Bangalore, India
Date Posted: Jul 3, 2025
Description
Design and develop NPU compilers optimized for machine learning applications
Develop optimized computation kernels of Deep Learning Operators
Create and implement algorithms and data structures to enhance NPU compiler performance
Build software tools for visualization, analysis, debugging, and testing of compiler development
Work with open-source compiler frameworks like MLIR to improve compiler functionality
Contribute to the deep learning network front-end of the compiler
Participate in all stages of the software development lifecycle, including requirements analysis, design, implementation, qualification, and production release
Actively collaborate with a global team working on cutting-edge technology to create revolutionary products
Strong understanding of system software and SoC architecture.
Proficiency in C/C++ and Python with excellent coding skills.
Proactive, self-starter, able to work independently in a fast-paced environment
Well organized with strong attention to detail; proactively ensures work is accurate
Positive attitude and work ethic; unafraid to ask questions and explore new ideas
Good design, programming, and problem-solving skills and able to solve problems through practical use of technology and a solid understanding of product architecture
Good verbal and written communication skills, in English
Strong team player with the ability to work collaboratively within a diverse cross-functional team
Bachelor’s (or Master’s) degree in Electrical Engineering, Software Engineering, Computer Science or related field or equivalent
5+ years’ experience in embedded software development
Expertise in analyzing, profiling, and debugging C/C++ and Python code.
Familiarity with compiler frameworks like LLVM, MLIR, or similar is a strong plus.
Hands-on experience in one or more of the following areas: deep learning frameworks such as PyTorch, ONNX, or TensorFlow, Python modules including NumPy and Pandas, Transformer-based architecture
No travel required
Synaptics
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