The role involves architecting and implementing business-critical features for a ground-up developed compiler handling the world's largest ML workloads
Job Summary
The role involves architecting and implementing business-critical features for a ground-up developed compiler handling the world's largest ML workloads.
Candidates will leverage technical communication skills as hands-on partners to AWS ML services teams and participate in pre-silicon design.
The team fosters an inclusive culture with mentorship opportunities, career growth focus, and flexible work-life balance arrangements.
Matching Summary
The role involves architecting and implementing business-critical features for a ground-up developed compiler handling the world's largest ML workloads.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Machine Learning Compiler development
Deep learning frameworks PyTorch TensorFlow MXNet
Neural network optimization
Silicon design collaboration
Nice-to-have
Mentoring experienced engineers
Publishing cutting-edge research
Technical communications skills
AWS ML services partnership
Key Requirements
Currently located or willing to relocate to Seattle
Background in Machine Learning and AI accelerators preferred