Senior Software Engineer, Next Gen Compute

🕒 il y a 10 mois

🔔 Pennsylvania – Distant

🔔 Pennsylvania – Remote

💵 $159 000 - $207 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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Motional

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2020

🚗 Transport

🤖 Intelligence artificielle

Transport • Artificial Intelligence • Automotive

Motional est une entreprise leader dans le développement de véhicules autonomes, dédiée à faire du transport sans conducteur une réalité sûre, fiable et accessible. Joint-venture entre Hyundai Motor Group et Aptiv, Motional est à la pointe de la technologie sans conducteur depuis des décennies, créant des véhicules autonomes de niveau 4 de la SAE pour les services de covoiturage et de livraison. L'entreprise met l'accent sur la sécurité et l'innovation, en s'appuyant sur le machine learning avancé et la technologie automobile pour construire des véhicules entièrement autonomes qui s'intègrent parfaitement dans les réseaux de mobilité, offrant une expérience agréable pour les transports quotidiens et les livraisons.

Description

•As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. •You will: •Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms. •Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. •Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures. •Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures. •Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system. •Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack. •Advise peers and management on technical matters.

🎯 Exigences

•Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies. •Strong experience with modern C++ development in a Linux environment. •Experience with parallel and high-performance computing. •Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. •A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience. •Preferred, but not required: •Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. •Experience with embedded systems development for ARM-based system-on-chip architectures. •Experience working in a MLOps or DevOps environment. •Passion for self-driving technology and its potential for positive impact on the world.

🏖️ Avantages

•Candidates for certain positions are eligible to participate in Motional’s benefits program. •Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.