英伟达Perception Engineer - Autonomous Driving

Inclusion Lab is committed to open, unrestricted research on cutting-edge robotics technology and strives to open-source all of its work to the public for the benefit of research communities world-wide. The research scope includes but not limited to the following directions: · Embodied perception, e.g., SLAM and 3D visual grounding · Real-to-Sim world foundation models · General and real-scene simulators · Sim-to-Real adaptation, e.g., task and action planning · Deep reinforcement learning

1. Keep up with the development and changes of international FX business, conduct regular risk assessment and special investigation from the second line perspective, identify major risks, evaluate coping strategies and solutions as well as residual risks, and promote implementation; 2. Strengthen the FX risk monitoring mechanism, develop data-driven key risk indicators, monitor the level of relevant risks, and promote the continuous optimization of risk management capabilities; 3. Establish refined, intelligent, systematic and data-based risk perception and response capabilities, and establish end-to-end comprehensive FX risk perception capabilities; 4. Follow up the internal and external risks problems, analyze the essence of the problems, carry out rectification, and establish a continuous risk monitoring mechanism to promote the improvement of relevant risk management effects.

· Based on the Allipay unified wallets gateway strategy, develop product optimizations for pre-trip and during-trip scenarios, leveraging cross-border contexts; assist and empower local wallets, collaborate with key industry merchants to enhance business growth, and be responsible for core metrics such as TPV, number of payment users, number of new customers placing orders, and repurchase rates;   · Analyze user needs, labels, and profiles, and optimize user experience through data insights; implement refined operations and lifecycle management for users to achieve scalable and sustainable business growth;   · According to the needs of cross-border travel business for Southeast Asian wallets, develop industry operation strategies and plans by integrating Alipay+ brand/local wallets /external partners/industry marketing resources, enhancing the brand perception of Alipay+, and achieving healthy user growth through productization;   · Collaborate with the algorithm team to establish a feedback loop based on channel retention and conversion goals, promoting algorithm optimization, supply adjustments, and data asset accumulation.

1、Design multi-objective optimization strategies adapting to business phases (e.g., prioritizing fulfillment experience with cost constraints in early stages) to enhance rider efficiency and maintain SLA competitiveness.根据不同业务发展阶段进行多目标优化设计，如初期以履约体验为核心目标、成本为约束条件，持续提升骑手工作效率与保证SLA具备市场竞争力 2、Lead Middle East fulfillment solutions by developing country-specific strategies based on local SLAs, validating through experiments, and scaling successful models across regions.主导中东地区履约解决方案设计，针对不同国家市场环境及SLA需求制定差异化策略，通过实验设计验证方案有效性，关注标准 化能力建设，推动成功模式跨区域推广 3、Manage timeliness metrics including rider assessment systems and load balancing, designing incentive rules to ensure cost-effective, user-perceivable delivery performance.负责时效类指标管理，包括骑手考核体系搭建与负载均衡优化，重点设计时效考核奖惩规则以确保成本约束下时效类指标具备市场竞争力，且用户有感知 4、Optimize rider app interactions by translating complex strategies into actionable guidance, reducing cognitive load through intuitive interfaces.设计骑手端交互展示策略，将复杂策略指令转化为骑手执行的行为指引，通过App界面优化持续降低骑手理解成本与操作门槛