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Ai Compiler Engineer
2 weeks ago
Key Responsibilities:
- Analyze and improve performance of the compilers for different hardware platforms.
- Develop tools and libraries that aid in the development and optimization of machine learning models.
- Work closely with software engineers, researchers, and product managers to understand their needs and provide guidance on best practices.
- Collaborate with hardware engineers to develop efficient and optimized machine learning hardware.
- Keep up-to-date with the latest advances in machine learning and compiler technology and evaluate their potential impact on the company's products and services.
- Identify and resolve issues related to the design, implementation, and optimization of compilers.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Strong background in compiler theory and optimization.
- Experience with one or more programming languages such as C++, Python, or Java.
- Familiarity with machine learning concepts and frameworks such as TensorFlow, PyTorch, or MXNet.
- Experience with optimizing compilers for different hardware platforms, such as GPUs or FPGAs.
- Familiarity with software development best practices, such as code reviews and unit testing.
- Excellent problem-solving skills and ability to work independently and collaboratively in a team environment.
- Strong communication skills and ability to present technical information to both technical and non-technical audiences.