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Lead complex customer deployments: build, deploy, and customize production software; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; translate customer feedback into product requirements; own projects end-to-end and create reusable, scalable deployment solutions while advising customers.

Lead complex technical deployments for enterprise customers: build, deploy, and customize production solutions; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; partner with Product and Engineering; own projects from discovery through deployment and scale reusable solutions.

The Senior Engineer will build and operate production infrastructure across AWS, GCP, and Azure, focusing on scaling, reliability, and performance for AI systems.

You will design, implement, and optimize NVIDIA CUDA kernels for AI systems, improve GPU memory pipelines, and profile workloads to enhance performance.