Machine Learning Engineer, I - App Engine (CUDA)
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The role
Develop and maintain components of the App Engine runtime and SDK to support ML workloads on embedded GPUs.
Assist in implementing message-passing and data handling across distributed compute nodes.
Contribute to testing, debugging, and performance tuning of ML integration features.
Collaborate with senior engineers to learn best practices in GPU programming and embedded ML deployment.
This role emphasizes hands-on development, cross-team collaboration, and delivering reliable, scalable ML solutions.
Strong foundations in C++ and Linux, with exposure to CUDA or PyTorch and a growth mindset are valued.
Assist in implementing message-passing and data handling across distributed compute nodes.
Contribute to testing, debugging, and performance tuning of ML integration features.
Collaborate with senior engineers to learn best practices in GPU programming and embedded ML deployment.
This role emphasizes hands-on development, cross-team collaboration, and delivering reliable, scalable ML solutions.
Strong foundations in C++ and Linux, with exposure to CUDA or PyTorch and a growth mindset are valued.
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