NVIDIA, the world leader in accelerated computing, is seeking a Senior Systems Software Engineer to join their innovative team working on container runtimes and Kubernetes technologies. This role presents an exciting opportunity to work at the intersection of GPU technology and cloud-native computing.
The position involves being part of a dynamic team that explores cutting-edge ways to make GPU and DPU accelerated applications more accessible for development, deployment, and monitoring. You'll play a crucial role in enabling NVIDIA's accelerators in the Kubernetes environment, working directly with the core group focused on Cloud Native technologies.
The ideal candidate will bring 8+ years of experience, with expert-level knowledge in systems programming languages like Go and C. You'll need a strong foundation in container orchestration, particularly Kubernetes, and deep understanding of Unix/Linux systems. The role demands expertise in automation, CI/CD systems, and distributed software design.
What makes this opportunity unique is the chance to work with NVIDIA's cutting-edge technology stack, combining GPU acceleration with modern cloud-native architecture. You'll collaborate across all of NVIDIA's engineering teams, ensuring seamless integration throughout the technology stack. The position offers competitive compensation, with a base salary range of $184,000 - $356,500, plus equity and comprehensive benefits.
NVIDIA's commitment to innovation and technology leadership makes this an ideal role for someone passionate about distributed systems and cloud computing. The company's strong focus on diversity and inclusion, combined with its position at the forefront of AI and accelerated computing, creates an environment where talented engineers can thrive and make significant contributions to transformative technology.
This role would be perfect for a systems engineer who enjoys tackling complex technical challenges, values collaboration, and wants to work on technology that's shaping the future of computing. Whether working on performance optimization, security improvements, or new feature development, you'll be contributing to solutions that have real-world impact across various industries.