Linux and Manufacturing Support Engineer

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. 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. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major Software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. 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 Design Validation Engineer in Taipei for board/system power qualification and function test, responsible for NVIDIA Data Center platform, Graphics board, ARM Based platform and Autonomous Driving Platform. If you're creative and autonomous, we want to hear from you! What you'll be doing: Server/Motherboard/Mobile system functionality test. Clock/Sequency/GPIO signal measurement and verification. WAT (wide area test) function test. Gaming test. High/Low speed interface SI test. Co-work with hardware design engineers on debug and FA. Co-work with mechanical/thermal engineers for cooler/heatsink design. What we need to see: Masters degree in EE, computer science, or relative majors. Proficient with Linux system and GPU setup. Capable of writing simple shell scripts and analyzing test results using commands. Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting Proficient with a programming language (C/C++, Python, Java, or Perl) Understand UEFI boot OS startup process and out-of-band (

NVIDIA is searching for a highly motivated, creative engineer with experience in system and AI software to join the GPU System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers, embedded SW and SOC platforms. You should demonstrate the ability to excel in an environment with complex software and hardware designs. What you'll be doing: Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers. Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world. Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products. Have multiple opportunities to collaborate and communicate effectively with teams across the globe. What we need to see: BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience. Strong C programming, C++, low-level driver, SOC system platform experience , and AI software design, arch and optimization. Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals. Kernel experience with Linux, Android, Chrome, or Windows systems. Experience with complex

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking skilled and motivated Senior Software Engineer, Backend Development(BotBonnie) to join our dynamic team. As a Senior Backend Development (BotBonnie), you will play a crucial role in designing, developing, and maintaining the server-side applications that power our web. Responsibilities Develop efficient and scalable backend services using Node.js, Express.js, and other relevant technologies. Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to design and implement robust APIs and web services. Ensure the performance, security, and reliability of server-side applications, identifying and resolving bottlenecks and bugs as necessary. Integrate with databases and data storage solutions, such as MongoDB, MySQL, Redis, RedShift or other NoSQL databases. Implement unit tests and conduct code reviews to maintain high code quality and foster a collaborative development environment. Participate in architectural discussions and contribute innovative ideas to improve system architecture and performance. Stay up-to-date with the latest trends and advancements in Node.js and backend technologies to propose suitable improvements to existing systems. Troubleshoot and debug production issues, providing timely resolutions and minimizing downtime. Optimize applications for maximum speed and scalability, considering factors like caching, load balancing, and distributed systems. Continuously improve development processes and best practices to ensure efficient and reliab

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. We are now looking for a Diagnostic NIC Software Engineer. The NPI Diag TW team is searching for Firmware Software Engineer to develop efficient secure and stable diagnostic firmware/software tools and scripts to enable factory build and debugging on NVIDIA products. In this role, engineers should be able to develop, maintain, debug CX/BF chip firmware/software and NBU Diagnostic software upon the next generation NVIDIA DGX/MGX servers, GPU baseboard, and PCIe cards. You will participate in a focused effort to develop and productize ground-breaking solutions that will be applied on many NVIDIA products. You'll find the work is exciting, fun, and meaningful. We have deadlines, customers, and competitions. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our firmware team, you will be a key leader responsible for the Firmware of our DGX/GPU software stack. What you'll be doing: Be involved in the definition, architectural design, and development of security Diag tool and test coverage planning for NVIDIA DGX products with an opportunity to craft its future. Assist with defining and making sure the software development process meets security and performance standards. Design and/or make recommendations for Network solutions that apply to our software to satisfy DGX/GPU server guidelines and requirements. Design Diag tool and scripts to make sure DGX/GPU products go for production smoothly. Design Diagnostic software to help validate GPU/CPU/NIC/DPU HW with good performance and quality. <

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC) . Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences. What You’ll Do Key owner of sizable engineering projects and services within the ES REC team. Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery. Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response. Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub ) to support high-throughput recommendation workflows. Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity. Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments. Lead system designs and provide technical guidance to team me