
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.
🕒 July 17
🌐 United Kingdom, Switzerland, +1 more countries – Remote
⏰ Full Time
🟠 Senior
👷🏻♀️ Engineer
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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.
• Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA. • Analyse AI workloads to champion improvements in both new hardware and compiler toolchain and improve hardware-software co-design. • Contribute new features and optimisation techniques targeting NVIDIA CPUs engaging with upstream and open source communities. • Develop compiler SW that is optimised for performance. • Be part of a team that is at the centre of artificial intelligence, high-performance computing and data centre technologies. • Contribute towards the development of next generation compute
• BS, MS or higher degree in Computer Science, Computer Engineering, or related field or equivalent work experience with 8+ years of work experience. • Experience with compiler development or a related academic project. • Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules. • Strong hands-on C++ programming skills • Good CPU architecture and low level performance analysis skills with hands-on experience of pre-Silicon hardware / software co-design. • Excellent verbal and written communications skills
• Highly competitive salaries • Comprehensive benefits package
Apply Now🕒 July 17
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