What we need to see: Bachelor’s or Master’s degree in Computer Science or Software Engineering Proven experience of 5+ years as a software engineer, with a focus on building complex, scalable systems Strong programming skills in languages such as Python, Java, C++, or similar Solid understanding of software design and architecture principles, with hands-on experience applying them Experience developing CI/CD pipelines and contributing to DevOps practices, with a strong passion for automation Experience with Linux virtualization (e.g., QEMU/KVM) and container orchestration platforms such as Kubernetes Experience working with hardware, bare-metal servers, and infrastructure environments Strong communication and collaboration skills, with the ability to work effectively in a team environment Ways to stand out from the crowd: Expert-level proficiency in Python programming Strong knowledge of one or more networking domains, such as Ethernet, VLANs, TCP/UDP/IP, QoS, and L2/L3 protocols Experience with software release processes, including codebase management, branching strategies, integrations, maintenance, and bug tracking Demonstrated ability to quickly learn, adapt, and ramp up on new technologies and domains Hands-on experience with advanced AI tools and frameworks, and the ability to apply them to real-world engineering challenges We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse 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, disability status or any other characteristic protected by law.
