Software Engineer Intern, Backend Development

【About the role】 In the position of Software Engineer Intern, Quality Assurance at Appier, you will be an integral part of our QA team, dedicated to ensuring the highest standards of software quality and reliability. This role provides a unique opportunity to delve into various aspects of software testing and quality control in a fast-paced and innovative tech environment. We are currently looking for individuals who can commit to an internship schedule of 2-4 days (18-32 hours) per week. This internship opportunity entails a minimum duration of 1 year, beginning from the present date. Students from the third year of undergraduate to the second year of master's program are welcome! 【Responsibilities】 Manual Test Execution Reporting bugs via JIRA Bug fix verification Exploratory Testing with guided charter (Advertising Cloud) Test the AD in App/Website, record the screen video and network traffic log(get from proxy server log) from click AD to open the destination product page. (Personalization Cloud, Data Cloud) Test the multi channel marketing automation service empowered by AI. Ensure integration between components or products. Find weak links in complex system architecture. 【About you】 - Minimum requirement - Able to understand requirements, specifications, and follow the test steps written in English. Interested in learning new technology and solving real world problems. A graduating student/BS in Computer Science, Engineering, or a related field - Preferred qualifications - Experience in web and mobile application testing Experience in HTTP Protocol and its functionality (RESTful API, Cookie, WebUI, ..) Experience in Fiddler/Charles proxy server Experience in Postman/SoapUI HTTP test Good communication skills in English. Experience with programming using AI tools (such as GitHub Copilot, Cursor...) is a plus. #LI-JC1

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. <

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

【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】 As a Technical Solutions Engineer Intern, you will follow established guidelines and SOPs to help customers integrate and optimize our products, troubleshoot and explore technical issues, and provide expert guidance. Your main responsibility is to execute each task with precision and consistent service. - Efficiently follow established guidelines and SOPs to assist new clients with a smooth onboarding and go-live process. - Maintain a high degree of precision when documenting, communicating, and processing the work and issues to ensure every detail is accurately captured. - Create and update technical documentation, knowledge base articles, and FAQs to help both customers and internal teams. - Effectively communicate technical concepts and problems to both technical and non-technical teams. - Assisting in the evaluation and integration of generative AI tools and platforms into existing workflow. 【About you】 - Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. - Basic knowledge of programming, algorithms, and data structures is required. - Excellent written, verbal communication skills, with the ability to collaborate effectively with teams. - A passion for technology and a desire to learn. - Able to utilize generative AI tools effectively. 【Nice to have】 - Familiarity with the components

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 are looking for a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI. In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production. What You'll Work On Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality. Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product. Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions. Form your own hypotheses, then design A/B tests that use real traffic to validate them. Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt. Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress. (Optional) Mentor junior scientists and interns, if the need arises. What We're Looking For (Minimum Qualifications) Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields At least 2 years of experience in machine lea

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 Appier is seeking a Software Engineer, Ad Serving to be the deepest technical problem-solver behind our advertising products. When a campaign underdelivers, when CVR drops without an obvious cause, or when a partner integration behaves unexpectedly, you are the person who reproduces the issue, reads the logs, queries the data, and gets to the actual root cause — then explains it in language a client or an account team can act on. You will work at the intersection of ad serving, data, and machine learning: diagnosing delivery and performance issues across the full funnel from bid request to conversion, validating partner and supply integrations, and turning what you find into concrete improvements to our bidding and supply strategy. You will also build the tooling and playbooks that let the rest of the organization resolve these issues without you. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Responsibilities Own Tier 2/3 escalations across ad serving, tracking, data pipelines, and ML-driven bidding Perform root cause analysis on delivery failures, pacing anomalies, and performance metric fluctuations (CTR/CVR/CPA/ROAS) Debug OpenRTB integrations, VAST/video, SDKs, MMP postbacks, and conversion tracking (S2S, CAPI, SKAdNetwork) Use SQL to analyze large-scale bid/impression/conversion data and isolate anomalies Analyze supply-side data (SupplyChain object, ads.txt, sellers.json) to strengthen delivery strategy and flag invalid traffic Build internal tools and