英伟达Senior Planning and Control Software Engineer - Autonomous Vehicles
任职要求
• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent work experience. • 5+ years of practical experience. • Experience writing software in C++. • Comfort with an Agile/Scrum software development environment using GitLab (or similar). • Comfort developing software with GIT in a Linux environment. Ways to stand out from the crowd: We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:• Experience shipping automotive software products, especially ADAS. • An expertise in fundamental physics - kinematic and dynamic models of rigid bodies. • Theoretical expertise in control systems (optimal, adaptive, fuzzy, model predictive, robust, etc.). • Background with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.).…
工作职责
Maturing and productizing new features entails a diversity of activities, including:• Developing, tuning, and verifying safety critical algorithms using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics. • Debugging and addressing different issues identified in simulations and in test drives. • Collaborating with our globally distributed team to enhance the software architecture, design and build a robust system • Defining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing products. • Maturing prototype software to production quality.
1、负责外卖业务行业研究、战略复盘、商业分析，输出行业研究与战略决策报告； 2、对外卖业务的商业内核有深度思考，对宏观环境、外部市场、行业发展等有经验积淀，独立进行商业建模分析，输出战略、运营策略等建议； 3、负责行业专题研究，与业务、产品团队合作，基于内外部视角产出打法建议； 4、运用Excel和数据分析方法，通过指标拆解和定量分析对行业发展、增长等核心方向进行挖掘与归因
围绕配送短期模块（订单匹配、供需调节、时间预估等）关键问题进行框架化思考，结合逻辑推演、内部数据洞察与外部竞对研究，提供高效、清晰的决策建议； 主导短期模块重点项目全流程推进，协同算法、产研、运营等团队落地项目，实现业务价值； 基于对配送引擎的深入理解，结合实际业务需求和数据表现，规划模块的发展方向
As a Senior Autonomous Driving System Engineer, L4, you will be central to crafting and constructing the architecture behind next-generation autonomous driving systems. Your work will involve: • Building the main stack for autonomous driving, concentrating on prediction, decision-making, planning, and control architecture. • Crafting robust system-level safety and fallback strategies within classical safety stacks. • Implementing end-to-end data-driven AV pipelines and large-scale model inference architectures. • Integrating classical and end-to-end hybrid systems, ensuring seamless scalability from research to production. • Collaborating with a world-class team of engineers to build a unified production platform that sets new standards in the industry.
Responsibilities • Define and uphold the game’s design vision, core gameplay direction, and player experience goals from concept through development • Review and guide major design decisions, ensuring features align with player needs, product goals, and Riot’s quality expectations • Translate player insight, product context, and development realities into clear design direction and actionable priorities • Partner closely with internal developers and external co-development teams to align on design intent, execution quality, and iteration plans • Evaluate trade-offs, identify risks, and make agile decisions that help the team respond to feedback, data, and changing development needs • Lead and support a small design team by setting clear expectations, giving feedback, and fostering a collaborative, craft-focused environment