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.
Skills Required
- Bachelor's degree or higher in Electrical Engineering, Computer Science, or equivalent practical experience
- 5+ years of relevant experience
- Experience delivering large-scale projects and collaborating across cross-functional teams
- Deep knowledge of Linux, including command-line usage, driver architecture, and kernel internals
- Hands-on experience with board bring-up, device drivers, and interfaces including I2C/I3C, SPI, PCIe, SMBus, and Mailbox
- Experience developing device trees for U-Boot and the Linux kernel
- Proficiency in C and C++ programming
- Scripting experience in Python and/or Bash
- Strong communication, collaboration, problem-solving, and debugging skills
- Ability to work independently, manage multiple priorities, and adapt to changing business needs
- Deep expertise in system software
- Strong understanding of server architecture, platform management, and data center technologies
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
