Our team has an immediate permanent opening for a Principal Engineer – Software Compiler

Responsibilities

• Design, develop, and test software to satisfy business requirements in a wide range of products.
• Analyze and optimize software system performance, and assist with software/hardware co-design.
• Liaise with internal and external stakeholders, determine project and feature requirements, and create development plans for software productization.
• Provide leadership in scrums, reviews, and project planning; engage in team building.
• Mentor junior developers through education sessions, code reviews, and career development.
• Research industry trends and paradigms, and propose new technical directions for the Lab.

What you’ll bring to the team

• 8+ years of experience programming in large software projects with at least one of the following: C++, C, or Java.
• Satisfy at least two of the following:
• Development or research experience in a production compiler (preferably LLVM/Clang-based).
• Development or research experience in a production language runtime (preferably JVM-related), and/or design and implementation of a major programming language.
• Development or research experience with deep learning frameworks and related ecosystem, such as TensorFlow, Caffe2, MXNet, ONNX, TVM.
• Development or research of GPU drivers, such as Vulkan, OpenGL, DirectX, or CUDA/OpenCL.
• Development or research experience with hardware accelerators such as GPUs, NPUs, or FPGAs.
• Solid grasp of fundamental concepts related to system design, such as data structures, algorithms, and operating systems.
• In-depth understanding of computer processor architecture.
• Proficiency with software development tools and concepts such as source control, bug tracking, etc.
• Bachelor's, Master's degree or Ph.D. in Computer Science, Computer Engineering, or related field.
• Deep understanding of IR and machine level compiler optimization techniques is an asset.
• Experience in systems programming is an asset.
• Proficiency in higher-level programming languages e.g. Go, Python is an asset.
• Understanding of the implementation of higher-level programming languages is an asset.
• Experience contributing to open-source projects, and demonstrated influence in the open community is an asset.
• Working knowledge of agile methodologies.