Technical Solution Engineer - Ad Cloud (Greater China Region)

Appier is a pioneering AI SaaS company dedicated to simplifying AI by creating intelligent software solutions. Established in 2012, Appier has expanded to 17 offices across the Asia-Pacific, the United States, and Europe, and is proudly listed on the Tokyo Stock Exchange. To learn more about our innovative solutions, visit www.appier.com.About the RoleAs a T…

Staff Embedded Software EngineerAbout UsAt Overview.ai, we are revolutionizing the quality control landscape in manufacturing through our state-of-the-art edge-enabled AI vision systems. Our innovative technology integrates advanced deep learning capabilities with user-friendly interfaces, ensuring rapid setup and deployment. Our solutions are adept at performing various inspection tasks, from detailed assembly verification to defect detection and orientation checks, offering real-time, high-accuracy results that effortlessly fit into existing production lines.Our technology is trusted by industry leaders such as Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate. We empower our clients to achieve faster production throughput, minimize scrap, and significantly reduce inspection costs—all without the traditional complexities and high expenses associated with conventional vision systems.Your RoleWe are on the lookout for a Staff Embedded Software Engineer with robust Embedded Linux expertise to enhance our engineering team. In this role, you will be responsible for designing, developing, and maintaining the software that drives our NVIDIA Jetson-based edge AI cameras. This includes writing Python application code, managing system services, implementing OTA update mechanisms, and ensuring device reliability across the network.This is a hands-on position focused on Linux systems and product software for resource-constrained devices. You will not be engaged in MCU firmware or low-level hardware bring-up; instead, your work will span the OS and application stacks to guarantee our camera systems are efficient, secure, and scalable for deployment.If you are passionate about developing software for real hardware, enjoy tackling intricate debugging challenges, and wish to take ownership of features from start to finish, we are eager to connect with you.Key ResponsibilitiesDevelop and maintain both system-level and application-level software to ensure reliability for our edge AI devices in the field.Implement and oversee OTA updates for our deployed device fleet.Create Python application code for device control, edge logic, monitoring, and data management.Engage with C/C++ components to enhance performance-critical functions.Troubleshoot Linux systems involving diverse services, containers, and custom applications.Optimize performance throughout the stack, including kernel, services, containers, and user applications.Utilize Docker containers for efficient packaging and deployment of edge software components.Collaborate with hardware vendors to diagnose and resolve system-level issues effectively.

The ASUS Robotics & AI Center is on the lookout for a highly skilled Senior Machine Learning Engineer to become an integral part of our global research and development team. This pivotal role focuses on spearheading the design and implementation of cutting-edge computer vision and perception systems for our next-generation autonomous platforms.We seek an experienced engineer with profound technical knowledge, sound engineering judgment, and a strong history of delivering production-ready machine learning systems in challenging real-world scenarios. The ideal candidate will be a mature, self-motivated contributor capable of influencing technical decisions, mentoring peers, and collaborating effectively within a multidisciplinary team.Lead the architecture and development of machine learning systems tailored for computer vision and perception tasks.Enhance models for optimal real-time performance on embedded and edge computing platforms.Create and maintain resilient perception pipelines that integrate data from cameras and various sensors.Assess and apply state-of-the-art methodologies in deep learning, object detection, and visual tracking.Guide technical decisions and offer insights on architecture, tools, and best practices within the team.Design and conduct experiments, including simulations and real-world field tests, to validate model performance.Manage and enhance datasets, pipelines, and tools to facilitate efficient model training and deployment.Collaborate with diverse teams, including robotics, systems, and software engineers, to deliver production-ready solutions.

About Overview.aiOverview.ai is revolutionizing the landscape of manufacturing quality assurance through an innovative edge-enabled AI vision system. Our technology harnesses sophisticated deep learning algorithms, ensuring a user-friendly experience and swift implementation. Our system adeptly manages a diverse range of inspection responsibilities—from meticulous assembly verification to defect identification and orientation checks—providing real-time, high-precision inspections that effortlessly integrate into existing production workflows.Endorsed by industry leaders such as Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our camera solutions facilitate accelerated throughput, minimized waste, and reduced inspection expenditures—eliminating the intricacies and high costs associated with conventional vision systems.About the RoleWe are on the lookout for a Senior Software Development Engineer in Test to assume technical ownership of the quality architecture across our physical AI vision platforms. This pivotal role is primarily focused on our NVIDIA Jetson-based edge AI cameras, localized inference engines, and low-latency video processing pipelines.In this capacity, you will be responsible for designing, constructing, and maintaining intricate automated testing frameworks that guarantee the reliability, performance, and precision of our mission-critical hardware and embedded software. This highly autonomous and hands-on role places you at the nexus of hardware, embedded Linux, Dockerized edge applications, and AIoT architectures. You will define and implement the comprehensive programmatic quality strategy for complex devices deployed in demanding, real-world manufacturing settings.What You’ll DoAutomated End-to-End Testing: Create and execute fully programmatic E2E test flows that replicate real-world manufacturing inputs (e.g., synthetic video streams), initiate local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs within a controlled environment.Edge Automation Architecture: Design and develop robust automated testing frameworks from the ground up using Python, specifically focusing on embedded Linux systems and edge AI devices.Web Application & API Testing: Develop and sustain automated UI and API test suites for the web applications and local interfaces employed by customers to configure, monitor, and engage with our vision systems.Hardware-in-the-Loop (HIL) Testing: Construct and expand HIL testing infrastructure to replicate factory environments, rigorously stress-testing physical camera systems.

Join WPP Media as an Implementation & Activation ExecutiveAbout WPP MediaWPP is a leader in creative transformation, harnessing the power of creativity to forge better futures for our employees, planet, clients, and communities. Discover more at wpp.com.WPP Media serves as WPP’s global media collective, where we unite the finest platforms, talent, and partners to unlock limitless growth opportunities in a media-saturated world. Learn more at wppmedia.com.About EssenceMediacom: A Premier WPP Media BrandEssenceMediacom represents a new era of media agencies, grounded in analytics and driven by data and technology. We leverage media and creative strategies to generate breakthroughs for the world's leading brands, helping clients navigate the complexities of modern marketing. Our agency is designed to thrive in the new communications economy—built on data and technology, centered on human insights and algorithms, and committed to continuous learning and adaptation.Role Summary and ImpactConduct comprehensive analysis of quarterly, semi-annual, and annual performance reviews.Evaluate campaign effectiveness and recommend tactical adjustments to enhance performance.Collaborate closely with account leaders to develop strategic plans for various categories.Oversee both internal and external plan presentations and manage client day-to-day inquiries.Acquire in-depth knowledge of brand and category specifics relevant to the client’s business.Skills and ExperienceAt WPP Media, we celebrate our culture and the people who make it exceptional. In this role, it is essential to embody WPP and WPP Media’s core values:High energy and a commitment to producing outstanding work.A proactive attitude towards learning and self-improvement.Exceptional attention to detail and precision.A collaborative mindset.A team-oriented spirit.A readiness to exceed expectations.A genuine passion for the media industry and an understanding of the importance of investment in the process.Life at WPP Media & BenefitsOur enthusiasm for shaping the future of media fosters an environment where innovative ideas can flourish and where our employees are valued and rewarded.