Software Engineer, Sr II - 39276BR

工作内容

NN COMPILER ENGINEER

Overview

At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.

Synopsys is a worldwide leading supplier of horizontal IP which is used by our customers to design semiconductor integrated circuits. The IP product portfolio includes ARC processors, high-performance Vector DSP processors, industry-leading neural network processors, USB, DDR, and Ethernet interface controllers and much more.

The ARC Processor team is looking for an experienced compiler engineer who will contribute to the development of our neural network model compiler. This compiler is used by third-party developers who run neural network-based workloads on SoCs with ARC Neural Network Processor IP inside.

Key Responsibilities

• Develop and enhance the compiler backend targeting ARC Neural Network Processor IP
• Develop compiler passes for lowering a high-level intermediate representation to a low-level hardware accelerator representation
• Develop mapping and optimization algorithms which partition compute tasks across multiple hardware accelerators in optimal ways

Required Skills

• Hands-on experience working on compiler internals (including various optimizations), preferably with NN compilers
• Working experience with embedded systems and hardware device control
• Expert-level C++ programming
• Familiarity with GIT source control management
• Proficient in Linux and Windows software development environments
• 5+ years of software engineering experience
• Excellent problem solving and critical thinking skills
• Excellent written and spoken English

Optional and Helpful Skills

• Good understanding of compiler theory and compiler industry trends
• Experience using open-source Neural Network technologies like LLVM / MLIR, TVM, Glow, xbyak, etc.
• Proficient in Visual Studio Code