Machine Learning Engineer, I - App Engine (CUDA)
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Die Stelle
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.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
Bereits ein Konto? Anmelden
Ähnliche Stellen
Weitere Positionen, die passen könnten.
? 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