Join NVIDIA as a Senior System Software Application Engineer. NVIDIA leads the way in high-growth fields such as High-Performance Computing (HPC), Artificial Intelligence (AI), cloud data centers, and gaming. In this role, you will leverage your deep expertise in system software, firmware, and Linux platforms to help bring next-generation data center products from development to production. You will collaborate across engineering, manufacturing, customers, and ecosystem partners to drive platform enablement, improve system manageability, and accelerate the adoption of OpenBMC-based solutions. This is a highly cross-functional role that offers opportunities to solve complex technical challenges, influence platform architecture, and contribute to the growth of NVIDIA's data center ecosystem. What you'll be doing: Develop OpenBMC firmware and core features to support next-generation GPU server platforms. Participate in and upstream OpenBMC code, working with the open-source community to drive feature development and influence project direction. Build and implement manageability and monitoring solutions for enterprise components such as CPUs, GPUs, DIMMs, SSDs, NICs, PSUs, FPGAs, and CPLDs. Collaborate with manufacturing teams to support data center product production and provide on-site factory support as required. Adapt to evolving business priorities and demonstrate flexibility in taking on a broad range of technical responsibilities. Travel domestically and internationally as needed to support customer engagements, manufacturing activities, and product deployments. What we need to see: Bachelor's degree or higher in Electrical Engineering, Computer Science, or equivalent practical experience. 5+ years of relevant experience, with a proven track record of delivering large-scale projects and collaborating across cross-functional teams. Deep knowledge of Linux, including command-line usage, driver architecture, and Linux kernel internals. Hands-on experience with board bring-up, device drivers (I2C/I3C, SPI, PCIe, SMBus, Mailbox, etc.), and device tree development for U-Boot and the Linux kernel. Proficiency in C/C++ programming, along with scripting experience in Python and/or Bash. Strong communication and collaboration skills, with the ability to work effectively in dynamic environments and translate technical requirements and challenges into actionable solutions. Ability to work independently, manage multiple priorities, and adapt to changing business needs. Ways to stand out from the crowd: Deep expertise in system software, with strong debugging and problem-solving skills, and the ability to quickly learn and apply new technologies. Strong understanding of server architecture, platform management, and data center technologies. Passion for building ecosystems and bridging the gap between engineering teams, customers, partners, and the open-source community. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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5 Nov, 2026

Nvidia

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