Principal System Software Engineer - Data Center MODS
现在，我们正在利用人工智能来定义下一个计算机时代的无限潜力。我们的 GPU 作为能够理解世界的大脑，机器人和自动驾驶汽车的时代。做以前从未完成过的事情需要视觉，创新和世界上最好的才华。作为 NVIDIAN,你将沉浸在多元化的支持环境中，每个人都会受到启发去做自己的最佳工作。加入团队看看你如何对世界产生持久影响！数据中心 MODS 组织寻求一名首席工程师，以便为云服务提供商 (CSP) 构建和扩展下一代 L10和 L11诊断系统。在这个高影响作用中，你将定义技术路线图并领导多功能开发，以部署强大的人工智能加速器产品的诊断框架。分布式系统和硬件/软件接口的熟练是成功必不可少的。你将要做的是：· 确定 NVIDIA 的技术战略和数据中心诊断系统的发展，调整 CPU,GPU,网络，内存和高速互联网的大规模应力测试。· 导师和培养工程团队，提供技术领导力并鼓励创新与卓越文化。· 推动跨越多个硬件和软件领域的系统故障的根源分析。· 与 CSP 合作，在其独特数据中心基础设施中诊断和解决扩展性挑战。我们需要看到的是：·计算机科学/工程学，电气工程或相关领域 （或同等经验）. · 15年以上的系统软件经验，在 C++或 Python 编程经验的高度弹性的分布式系统上工作。· 系统知识深入的 x86/ARM 架构，Linux OS 内部，固件 (UEFI/BIOS),红鱼，HMC,BMC 协议和平台安全。· 一致的技术领导力证明项目团队领导和设定技术方向。· 自动化驱动的软件测试方法专业知识，以人工智能为首要方式确保软件质量。
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
The Data Center MODS organization seeks a Principal Engineer to architect and scale next-generation L10 and L11 diagnostic systems for Cloud Service Providers (CSPs). In this high-impact role, you will define the technical roadmap and lead multi-functional development to deploy robust diagnostic frameworks for AI accelerator products. Proficiency in distributed systems and hardware / software interfaces is essential for success.
What you'll be doing:
- Define technical strategy and development of NVIDIA’s Data Center diagnostic systems, orchestrating large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects.
- Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.
- Drive the root-cause analysis of systemic failures that intersect multiple hardware and software domains.
- Partner with CSPs to diagnose and address scalability challenges within their unique data center infrastructures.
What we need to see:
- Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
- 15+ years of system software experience working on highly resilient distributed systems with programming experience in C++ or Python.
- Deep systems knowledge of x86/ARM architectures, Linux OS internals, firmware (UEFI/BIOS), Redfish, HMC, BMC protocols and platform security.
- Consistent track record demonstrating technical leadership leading project teams and setting technical direction.
- Expertise in software testing methodologies with an automation-led, AI-first approach to ensuring software quality
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 10, 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 race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas