We are looking for a Senior SoC Software Engineer to help shape the future of accelerated computing within CPU/Data Center. Imagine developing the foundational technology behind tomorrow’s AI factories, next-generation data centers, autonomous platforms—and even data centers in space. You will join a world-class team building and maintaining software for complex heterogeneous computing systems that power groundbreaking AI, HPC, and accelerated computing workloads. Your work will help bring sophisticated server products from early silicon through deployment while improving their performance, reliability, power efficiency, and serviceability.
This is an opportunity to work at the intersection of hardware, firmware, operating systems, and AI. You will collaborate with some of the best engineers in the world to solve challenging system-level problems and redefine what future data center products can achieve. If you are a creative software engineer who is passionate about low-level technology and wants to build products that expand the boundaries of computing, we want to hear from you. Join us at the forefront of this new frontier!
What you’ll be doing:
- Design and develop SoC software, validation solutions, and test frameworks that efficiently validate and stress complex SoCs and systems throughout the complete software development lifecycle. Your work may span user space, the kernel, firmware, and SoC boot software.
- Pioneer next-generation system validation and reliability software that accelerates the journey from virtual prototypes and first silicon to production-ready hardware, large-scale deployment, and rapid failure resolution across standard and custom platforms.
- Spearhead initiatives that improve the efficiency, intelligence, robustness, and user experience of software used for design validation, thermal and power characterization, manufacturing screening, and customer platform bring-up.
- Investigate and drive root-cause analysis of highly complex board- and system-level failures across hardware and software boundaries.
- Collaborate across the company and with customers and partners to bring next-generation computing platforms to life—powering breakthroughs in AI factories, data centers, autonomous systems, and space-based computing.
What we need to see:
- BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
- 8+ years of relevant industry experience.
- Strong C and C++ programming skills, including object-oriented design and development.
- Experience with low-level systems software, device drivers, firmware, or hardware-facing programming.
- A strong understanding of processor architecture fundamentals, preferably ARM.
- Exceptional problem-solving and debugging skills, particularly for issues spanning multiple layers of the system.
- Excellent communication, interpersonal, and planning skills, with the ability to lead technically complex initiatives.
Ways to stand out from the crowd:
- Deep knowledge of Linux kernel internals and a solid understanding of ARM-based platforms.
- Experience developing systems, validation, or reliability software for data center, server, AI infrastructure, or other mission-critical platforms.
- Experience planning and executing pre-silicon or post-silicon bring-up for complex SoCs and platforms.
- A consistent record of quickly learning new technologies and applying them to deliver results within ambitious timelines.
- Experience contributing to large-scale software projects and applying AI, automation, or data-driven techniques to accelerate validation, analyze failures, and improve system reliability throughout the software product lifecycle.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor’s or master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
- 8 or more years of relevant industry experience
- Strong C and C++ programming skills, including object-oriented design and development
- Experience with low-level systems software, device drivers, firmware, or hardware-facing programming
- Understanding of processor architecture fundamentals
- Strong problem-solving and debugging skills across multiple system layers
- Excellent communication, interpersonal, and planning skills, with ability to lead technically complex initiatives
- Deep knowledge of Linux kernel internals
- Strong understanding of ARM-based platforms
- Experience developing validation or reliability software for data center, server, AI infrastructure, or mission-critical platforms
- Experience planning and executing pre-silicon or post-silicon bring-up for complex SoCs and platforms
- Experience with AI, automation, or data-driven techniques for validation and reliability improvement
- Experience contributing to large-scale software projects
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
