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Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 7 years of experience in system software design and development in C/C++. 5 years of experience in technical leadership and people management. Experience with software engineering practices including release management, test automation, and quality assurance. Preferred qualifications: 5 years of experience managing a team. Experience in software/hardware int

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 3 years of experience in system software development (e.g., kernel, device drivers, firmware, software that manages kernels, machines, or devices). 2 years of experience coding in C or C++. Experience with Linux/Unix development environments. Preferred qualifications: Experience with developer operations, release management, and i

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 10 years of experience in system software development (e.g., embedded Linux, device drivers, system development, firmware, etc.). Experience coding in C or C++. Experience with Unix/Linux environments. Preferred qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, or a related technical field. 10 years

Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of crafting and implementing creative secure firmware solutions in heavily resource-constrained environments? If so, you’re primed to help develop the boot software that powers the world’s best GPUs. We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team in our Taiwan, Taipei Office. You will be joining a team whose

司在Power, IT, Wearable, 3C, Industrial, Automotive, ICT, IoT領域皆有相關解決方案 【 工作內容 】 推廣電源(DC-DC)相關產品，應用領域在Motherboard, Server, GPU, NB機種上。 能夠簡易 review客戶的電路圖及debug 追蹤客戶Project的design-in進度，提供技術上的支援與建議。

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated

We are now looking for a highly motivated Sr Performance Software Engineer to join this dynamic and innovative team. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. We are looking for an

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking to grow our company, and build

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world. We are looking for