Amazon SDE Compiler Engineer 

Canada, Ontario, Old Toronto 

311537802

AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsAs a deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the ground-up development of a compiler targeting AWS Inferentia and Trainum.
Work/Life Balance
Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically three days a month, and also includes solving problems reported by customers. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.Mentorship Opportunities
Toronto, ON, CAN

- "B.S. Computer Science or related technical field
- Proficiency with one or more of the following programming languages: C, C++, or Python
- 1+ years experience with optimizing compilers for CPU or GPU or other targets."

- "Preferred qualifications
- M.S. or Ph.D. in compiler engineering or related fields
- Experience with multiple toolchains, compilers, and Instruction Set Architectures
- Strong knowledge of resource management, scheduling, code generation, and compute graph optimization
- Experience optimizing Tensorflow, PyTorch, or MxNET deep learning models
- Meets/exceeds Amazon’s leadership principles requirements for this role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role"