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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’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 deep learning — 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

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 deep learning — 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

We are now hiring for a Senior Mixed-signal Design Engineer! NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can

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

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experience coding in one or more of the following languages C, C++, Java, or Python. Experience with compilers (e.g., parallelization, etc.) Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years

提升自己的技能，為業務做出實際貢獻並展開充滿激情的事業之旅！" •ODM Quote handling from RFQ till EOL for Key Account. •NPI & Sustaining project handles for all sales/quote related. •Communicate with internal for alignment to respond the request per project. •Key Contact for customers for supporting quote. •Parallel initiatives handle. •Market information gathering and analyze.

Design and development verification of electric vehicle battery modules and mechanisms. Design and development of structural impact resistance, explosion-proof, waterproof, tolerance analysis, heat dissipation, and series/parallel circuit. Design of plastic injection, sheet metal stamping, aluminum extrusion, aluminum die-casting, welding type products such as resistance welding, arc welding. Research product development trends and formulate new product development strategies. Planning and integ

動化測試的能力與熟悉存儲系統或RAID機制者優先。 工作職責： - 熟悉Windows和Linux操作。 - 對於平行檔案系統（Parallel File System，如BeeGFS、Lustre、GPFS等），具有設置、調整和基準測試的相關經驗。 - 對於資料庫（Microsoft SQL、Oracle、MariaDB）具有設置、調整和

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 3 years of experience with software development in one or more programming languages (e.g., Python, C++, Java). Experience working with one or more of the following: Unix/Linux environments, distributed and parallel systems, service development, machine learning. Experience with object oriented languages. Preferred qualifications: Experienc