Job description

We are looking for a New College Graduate SoC Software Engineer to help shape the future of accelerated computing within SOC/Data Center/Automotive/Embedded. Imagine developing foundational technology for tomorrow’s AI factories, next-generation data centers, self driving cars and autonomous robots—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 span hardware, firmware, operating systems, and applications as you help bring sophisticated products from early silicon through deployment. This is an opportunity to learn from some of the best engineers in the world while solving meaningful system-level challenges. If you are a creative software engineer who enjoys low-level technology, tackling difficult problems, and turning new ideas into working products, we want to hear from you! What you’ll be doing: • Design and develop SoC software, validation solutions, and test frameworks for CPU, SoC, and GPU-based platforms. Your work may span user space, the kernel, firmware, and SoC boot software. • Build next-generation system validation and reliability software that supports the journey from virtual prototypes and first silicon to production-ready hardware, large-scale deployment, and rapid failure resolution. • Contribute to system software architecture and collaborate with internal teams to integrate new capabilities across the software stack. • Work closely with architecture, ASIC, firmware, platform, and new product introduction teams to understand requirements and bring new computing platforms to life. • Investigate challenging hardware and software issues, develop creative solutions, and improve the performance, reliability, power efficiency, and serviceability of our platforms. • Explore emerging technologies and industry standards, then apply what you learn to solve real-world engineering problems. What we need to see: • Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field—or equivalent experience. • Strong C or C++ programming skills and an understanding of object-oriented design. • Familiarity with low-level systems software, device drivers and understanding of OS and computer architecture. • Strong problem-solving and debugging skills, with curiosity about how hardware and software work together. • Clear communication skills and the ability to collaborate effectively in a team environment. Ways to stand out from the crowd: • Knowledge of Linux systems or kernel internals. • Understanding of server, PC, embedded, or other complex computing architectures. • Experience with SoC development, pre-silicon environments, silicon bring-up, or hardware validation through coursework, research, internships, or personal projects. • Experience contributing to a team software project, open-source project, technical competition, or substantial personal project. • Exposure to AI, automation, or data-driven techniques for accelerating validation, analyzing failures, or improving system reliability. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 17, 2026. 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.

Requirements

Must-haves

Design and develop SoC software, validation solutions, and test frameworks for CPU, SoC, and GPU-based platforms. Your work may span user space, the kernel, firmware, and SoC boot software.
Build next-generation system validation and reliability software that supports the journey from virtual prototypes and first silicon to production-ready hardware, large-scale deployment, and rapid failure resolution.
Contribute to system software architecture and collaborate with internal teams to integrate new capabilities across the software stack.
Work closely with architecture, ASIC, firmware, platform, and new product introduction teams to understand requirements and bring new computing platforms to life.
Investigate challenging hardware and software issues, develop creative solutions, and improve the performance, reliability, power efficiency, and serviceability of our platforms.
Explore emerging technologies and industry standards, then apply what you learn to solve real-world engineering problems.
Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field—or equivalent experience.
Strong C or C++ programming skills and an understanding of object-oriented design.
Familiarity with low-level systems software, device drivers and understanding of OS and computer architecture.
Strong problem-solving and debugging skills, with curiosity about how hardware and software work together.
Clear communication skills and the ability to collaborate effectively in a team environment.
Knowledge of Linux systems or kernel internals.
Understanding of server, PC, embedded, or other complex computing architectures.
Experience with SoC development, pre-silicon environments, silicon bring-up, or hardware validation through coursework, research, internships, or personal projects.
Experience contributing to a team software project, open-source project, technical competition, or substantial personal project.
Exposure to AI, automation, or data-driven techniques for accelerating validation, analyzing failures, or improving system reliability.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium