AMDSystems Design Engineer
任职要求
Strong knowledge of the X86 CPU and GPU architecture with relevant experience. Project experience in ASIC design area will be a plus Experience of algorithm competition will be a plus Program experience of large data visualization will be a plus Experience of using Py…工作职责
THE ROLE: This is a role in post-silicon power and performance engineering team who will act as end-to-end owner for System/APU/GPU performance optimization from first silicon to production. This role needs to have stronger data scientific sense which can learn and build power and performance data insight structure via well-using internal experiment data including the whole data analytic process from data collecting, clean, modelling , templating, insights, and visualization. Technically it requires the person to have a clear understand of key performance influence factors in silicon design and implementation, also understand how to collaborate with the critical program milestone and be responsible to drive across sites and across teams for performance related feature readiness and data analytics. THE PERSON: The person needs to be passionate and well self-motivated, sensitive to the delivery urgency and the innovation path, a good communicator with teamwork spirit, eager to learn new knowledge, able to resolve complex problem. The person needs to have a natural interest in mathematic algorithms, logical coding and beauty of data telling. The person needs to be enthusiasm on data analytic job. KEY RESPONSIBILITIES: Work closely with internal data producing team and external automation framework team to develop engineering experience-based power and performance data analytic process and visualization structure. Work closely with SOC design team & program lead team to understand performance target and validation methodology for APU/GPU Component and overall reference design System Develop system and component level performance test strategies and plans. Attend ASIC bring-up and validation, ensure coverage and schedule. Execute performance test plans for APU/GPU/System and give out the improvement suggestion. Compose validation reports and provide future test plan improvement. Work with CE team to understand Customer expectations of power and performance design and support debugging. Automate some of manual tests in Shell/Python or other scripting language.
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.
• Personalization Strategy: Define the product vision for recommendations across all surfaces—home feed, search results, notifications, emails. Balance relevance, diversity, and business objectives. • Algorithm Partnership: Work closely with ML engineers to translate model improvements into user-facing features. You don't need to code, but you should speak the language of precision/recall. • Experience Innovation: Design new recommendation formats beyond "You might like." Think explanation UI, user controls, social proof integration. • Metrics & Experimentation: Define success metrics beyond CTR. Run sophisticated experiments to prove long-term value. Champion user satisfaction alongside engagement. • Cold Start & Edge Cases: Solve the hardest problems—new users with no history, niche interests, explicit negative feedback handling.