Machine Learning Engineer, I - App Engine (CUDA)
职位介绍
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.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
已有账户？ 登录
相似职位
其他可能适合您的职位。
? Machine Learning Intern Fall 2026 (Toronto) ? Machine Learning Engineer, Behavior Internship ? Machine Learning Engineer (L3) ? Senior C++ Programmer - Machine Learning Content Creation Technology Group ? Senior C++ Programmer - Machine Learning - Content Creation Technology Group ? Team Lead - Machine Learning Engineer