英伟达System Design Engineer
任职要求
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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the System Product Team. In this role, you will be working with peer system design engineers to develop NVIDIA GPU/Tegra based products for GPU cards, MGX servers, automotive, robotics, industrial PC, consumer electronics, etc. What You'll be Doing: • Review board designs and collaborate wi…
工作职责
N/A
Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation for everyone and every business to thrive. In close collaboration with partners, we support merchants of all sizes worldwide to realize their growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking for Java Software Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business. Key Responsibilities: 1. Design solutions involving integration with multiple systems and services. 2. Develop high volume, high performance, low latency and reliable mission critical applications. 3. Write maintainable, robust, and testable code. 4. Perform code and test case review. 5. Implement processes, solutions or tools to improve software delivery and quality. 6. Able to adopt latest software development trends and industry best practices.
We are aiming to leverage AI and other leading technology and dedicated to provide safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., We are the leading platform with capabilities of high concurrent real-time risk calculations and massive big data analysis and processing. And as the core risk management tech platform for global payment business, we adopt a multi-center deployment architecture around the world. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. 4. Participated in the design of R&D of risk control systems and big data platforms. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in risk control systems.
Join a dynamic team of designers, content strategists, and user researchers working on Alibaba’s global B2B e-commerce platform, Alibaba.com. We collaborate closely with product and business teams to create a top-tier online marketplace for businesses in regions like North America, Europe, and Southeast Asia. Alibaba.com is the original business of Alibaba Group, launched in 1999, and we’re focused on continuously improving it to better serve our global customers. As a Senior UX Researcher, you will be responsible for creating, driving, and implementing research plans to discover actionable insights for creating the user experience for web-based applications and mobile devices. You will deliver the right user insights at the right time, helping project team to create digital products that are good for users and good for business. You will use your deep understanding of the methods and best practices of user research to experiment with mixed methods research to generate unique user insights and drive product innovation. You will mentor junior team mates to deliver high-quality outputs while working effectively on managing stakeholders, overlapping projects, and competing priorities. Responsibilities: • Drive ideas to improve products and services through research-driven insights and recommendations. • Independently design and execute research studies with effective research methods (e.g., desk research, interviews, focus groups, usability testing, surveys, competitive analysis, etc.), representative participant profiles, and efficient recruiting strategies. • Proactively review and perform data analysis to extract insights and actionable recommendations from qualitative or quantitative data, and collaborate with teams to translate insights into product and business impact. • Present your work at research critique sessions to collect constructive feedback from the team and leadership. • Collaborate with designers, engineers, and product managers throughout the research, design, and product development processes. • Organize post-mortem reviews of your projects with collaborating teams, reflect on outcomes, and proactively suggest improvements. • Through knowledge sharing, leading by example, and constant learning, contribute to the team’s professional growth and development. • Constantly learn and implement AI in the workflow to enhance research efficiency, and proactively identify and suggest new tools for the team. • Effectively identify and implement new ways to conduct research, grow the team’s influence, and create impact.
- Drive User Acquisition - Optimize user acquisition funnels across all channels by designing landing pages, referral programs, and viral loops that reduce CAC while scaling volume efficiently. - Maximize User Activation - Own the onboarding experience and define the critical "Aha moment." Ensure new users experience core product value within their first session to establish immediate engagement. - Boost User Retention - Build habit-forming features and engagement loops through strategic push notifications, email campaigns, and in-app prompts that drive consistent user return and long-term engagement. - Scale Experimentation - Run 10+ experiments weekly and cultivate a data-driven testing culture across all elements—from UI components to complete user flows. Base all decisions on statistical significance rather than opinions. - Cross-functional Leadership - Partner with Engineering, Data Science, Marketing, and Design teams to rapidly ship growth features at startup speed within a larger organizational structure.