About the job
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment.
Responsibilities
Identify key adoption barriers and optimization opportunities; Collaborate closely with engineering teams to implement innovative solutions; Engage with academic and research communities to advance state-of-the-art ML systems; Work on AI for Systems, Machine Learning Compiler, System Robustness, and Efficient Kernel Development
Qualifications
Minimum
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language; Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
Experience building machine learning models or developing algorithms for business application; Experience in professional software development