Senior Software Engineer, Next Gen Compute

🕒 vor 10 Monaten

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $159.000 - $207.000 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

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Motional

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2020

🚗 Transport

🤖 Künstliche Intelligenz

Transport • Artificial Intelligence • Automotive

Motional ist ein führendes Unternehmen in der Entwicklung autonomer Fahrzeuge, das sich darauf konzentriert, fahrerlose Mobilität sicher, zuverlässig und zugänglich zu machen. Als Joint Venture zwischen der Hyundai Motor Group und Aptiv steht Motional seit Jahrzehnten an der Spitze der fahrerlosen Technologie und entwickelt autonome Fahrzeuge der SAE Stufe 4 für Ride-Hailing- und Lieferdienste. Das Unternehmen legt großen Wert auf Sicherheit und Innovation und nutzt fortschrittliches maschinelles Lernen sowie Automobiltechnologie, um vollständig fahrerlose Fahrzeuge zu bauen, die sich nahtlos in Mobilitätsnetzwerke integrieren und ein angenehmes Erlebnis für den täglichen Transport und Lieferungen bieten.

Beschreibung

•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.

🎯 Anforderungen

•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.

🏖️ Vorteile

•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.