Machine Learning Engineer, I - App Engine (CUDA)
Questa offerta fa per te?
Crea il mio CV Crea il tuo CV e scopri la tua percentuale di corrispondenza con questa posizione — e con tutte le altre.
La posizione
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.
Vedi l'annuncio completo
Mansioni, profilo, competenze e vantaggi — crea il tuo account gratuito.
Hai già un account? Accedi
Offerte simili
Altre posizioni che potrebbero interessarti.
? 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