Machine Learning Engineer, II - 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
Implement and optimize software components for distributed execution of ML models on embedded GPU platforms.
Profile and optimize GPU utilization for ML workloads to reduce latency and boost throughput.
Contribute to message-passing, resource management, and runtime features for the App Engine SDK.
Collaborate with feature teams to validate App Engine functionality in vehicle and simulation environments.
Maintain clean, efficient C++ code and rigorous unit/integration tests.
Play a key role in performance-oriented development and embedded GPU programming in a fast-paced setting.
Profile and optimize GPU utilization for ML workloads to reduce latency and boost throughput.
Contribute to message-passing, resource management, and runtime features for the App Engine SDK.
Collaborate with feature teams to validate App Engine functionality in vehicle and simulation environments.
Maintain clean, efficient C++ code and rigorous unit/integration tests.
Play a key role in performance-oriented development and embedded GPU programming in a fast-paced setting.
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