Compiler Engineer

Our team has an immediate permanent opening for an Engineer.

Responsibilities:

• Design, develop, and test software to satisfy business requirements in a wide range of products, possibly including (but not limited to):
  • Compilers targeting next-generation mobile, network, or server hardware;
  • Language runtimes for new programming languages;
  • System-level optimization of deep learning frameworks;
  • Concurrent programming frameworks and distributed systems that can scale from embedded devices to cloud services.

• Analyze and optimize software system performance.
• Actively participate in scrums and project planning; be a team player.
• Learn and adopt new technologies; research, survey, and present industry trends to the team.

Requirements

What you’ll bring to the team:

• 3-5 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 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.
• Experience contributing to open-source projects, and demonstrated influence in the open community is an asset.
• Working knowledge of agile methodologies.

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