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.
#LI-CL1