Senior Software Systems Engineer, L3 and L4 - Autonomous Driving

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Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA 's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. As an NVIDIA N, you’ll be immersed in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world. What you’ll be doing: Develop use cases and system requirements for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines. Perform system-level analysis to define performance requirements and allocate performance budgets across subsystems. Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements. Define and drive online and offline test strategy and execution at both vehicle and component levels. Partner closely with Data Analytics, Test Engineering, and System Integration Test teams. Ensure the right evaluators and important metrics are developed. Prove that datasets cover sufficient scenarios and requirements. Target appropriate sampling strategies through Data Collection and Real-World Driving. Establish strong multi-functional relationships with collaborators across engineering, safety, validation, and product teams. Drive innovation in requirements decomposition, traceability, and verification processes. Promote and cultivate a strong systems engineering approach across the organization. What we need to see: To succeed in this role, you should have: MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience). 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture. Strong software development background with proven coding skills. Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis. Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations. Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies. Ways to Stand Out from the crowd: Experience contributing to a launched L3/L4 autonomous vehicle program. Experience in AI safety and safety validation for ML-based systems. Hands-on experience with large-scale datasets, data science, and analytics workflows. Strong software engineering experience with proficiency in Python, SQL, and C++. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of rac

今天，NVIDIA 正在挖掘 AI 的无限潜力，以定义下一个计算时代。在这个时代，我们的 GPU 充当计算机、机器人和自动驾驶汽车的智能核心，使它们能够感知世界。做前所未有的事情需要远见、创新和世界上最优秀的人才。我们开创了一种超级计算形式，深受世界上最苛刻的计算机用户——科学家、设计师、艺术家和游戏玩家——的喜爱。这不仅仅是技术！正是我们的人才，一些世界上最聪明的人，以及我们多元化的公司文化，使 NVIDIA 成为世界上最有趣、最具创新性和活力的工作场所之一！NVIDIA 文化的核心是我们的核心价值观，如创新、卓越、决心和团队合作，这些价值观指引我们做到最好。作为 NVIDIA 的一员，您将沉浸在一个多元化、鼓励性的环境中，每个人都受到激励以最高水平发挥。加入团队，看看我们如何对世界产生持久影响。您将要做的事情：根据客户需求、交通法规、认证标准和行业指南，为 L3 和 L4 自动驾驶产品开发用例和系统需求。执行系统级分析，以定义性能需求并在各子系统之间分配性能预算。制定测试用例并定义关键性能指标，以确保符合功能和安全需求。在车辆和组件层面定义并推动在线和离线测试策略及执行。与数据分析、测试工程和系统集成测试团队紧密合作。确保开发正确的评估器和重要指标。证明数据集覆盖足够的场景和需求。通过数据收集和真实世界驾驶，确定适当的采样策略。与工程、安全、验证和产品团队的协作者建立强大的跨职能关系。在需求分解、可追溯性和验证流程中推动创新。在整个组织中推广和培养强大的系统工程方法。我们需要看到的：要在这个角色中取得成功，您应该具备：工程、物理、计算机科学或相关领域的硕士或博士学位（或同等经验）。8 年以上在安全关键系统工程师、系统分析、数据分析和软件架构方面的 proven 经验。强大的软件开发背景，具有 proven 的编码技能。在 SOTIF 分析（ISO 21448）、功能安全（ISO 26262）和跨职能架构权衡分析方面的实践经验。强大的领导力和人际交往能力，能够推动大型组织之间的协调一致。proven 理解端到端深度学习方法、经典模块化感知/规划堆栈以及相关验证和测试策略之间的权衡。脱颖而出的方式：有参与已发布 L3/L4 自动驾驶汽车项目的经验。在 AI 安全和基于 ML 的系统的安全验证方面有经验。具有大规模数据集、数据科学和分析工作流的实践经验。强大的软件工程经验，精通 Python、SQL 和 C++。您的 base salary 将根据您的地点、经验和类似职位员工的薪酬确定。Level 4 的 base salary 范围为 184,000 美元 - 287,500 美元，Level 5 为 224,000 美元 - 356,500 美元。您还将有资格获得股权和福利。该职位的申请将至少接受至 2026 年 4 月 17 日。此职位发布针对现有空缺。NVIDIA 在其招聘流程中使用 AI 工具。NVIDIA 致力于营造多元化的工作环境，并自豪地成为平等机会雇主。由于我们高度重视当前和未来员工的多样性，我们不会因种族而歧视（包括在招聘和晋升实践中）。

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