AI Developer, Technology Engineer

🕒 September 22

🌐 Switzerland, Germany – Remote

🇨🇭 Switzerland – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 11%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Research and develop techniques to GPU-accelerate workloads in deep learning, machine learning, and other AI domains • Work with technical experts from industry and academia to analyze and optimize complex AI and HPC algorithms • Ensure optimal AI solutions on modern CPU and GPU architectures • Publish and/or present optimization techniques in developer blogs or relevant conferences • Engage and educate the developer community • Influence next-generation hardware architectures, software, and programming models • Collaborate with research, hardware, system software, libraries, and tools teams at NVIDIA

🎯 Requirements

• An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience) • 8+ years of relevant experience in software development or research work • Programming fluency in C/C++ with a deep understanding of algorithms and software development • Background in parallel programming, such as CUDA, OpenACC, OpenMP, MPI, or pthreads • Hands-on experience with low-level performance optimizations • In-depth expertise with CPU and GPU architecture fundamentals • Effective communication and organization skills • Logical approach to problem solving • Good time management and prioritization skills • Expertise in parallelization and performance optimization of deep learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. (standout qualification) • Excellent understanding of linear algebra (standout qualification)

🏖️ Benefits

• Equal opportunity employer committed to fostering a diverse work environment • NVIDIA employee benefits are not specified in the posting

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