Conduct in-depth performance profiling, debugging, and troubleshooting of complex AI/ML training and inference workloads.
Build internal tools and software for AI/ML infrastructure to provide an exceptional developer experience.
Partner with cross-functional, cross-regional teams to ensure infrastructure delivers maximum value and drives customer success.
Deliver technical enablement and support for key cloud customers, driving successful deployment and optimization of AI/ML workloads.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications
Master's degree or PhD in Computer Science or a related technical field.
Experience with Generative AI, Large Language Models, or Machine Learning infrastructure, including model deployment, profiling, and performance tuning.
Experience with distributed computing leveraging GPUs or TPUs.
Experience in technical leadership aligning team objectives and timelines with multiple adjacent teams.
Experience in customer-facing technical support and enablement for enterprise or cloud customers, driving deployment and optimization of AI/ML workloads.
Ability to scope and solve undefined problems in an environment where AI technologies are advancing.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
