
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.
🕒 August 13
🌐 Germany, Poland, +1 more countries – Remote
💵 zł375k - zł650k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 15%
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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.
• Develop scalable library software using modern tools and languages for various numerical methods • Tune performance, optimize, and benchmark algorithms on various architectures • Work closely with product management and internal and external partners to understand feature and performance requirements • Contribute to technical roadmaps of libraries • Provide technical leadership and guidance to library engineers • Identify opportunities to improve library performance and abstractions • Re-architect code to reduce maintenance cost
• 12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA • Excellent C/C++ programming and software design skills • Proven experience in leading and completing software development projects • Excellent collaboration, communication, and documentation habits • Good knowledge of CPU and/or GPU hardware architecture • Experience with adopting and advancing software development practices such as CI/CD systems • Experience with project management tools such as JIRA • Experience working in a globally distributed organization • Advanced skills in debugging, profiling, and testing for accuracy and performance • Scripting language experience, preferably Python • PhD or MSc degree in Computational Science, Computer Science, Applied Math, or related science or engineering field, or equivalent experience (preferred)
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