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Tech Stack
Tools & technologiesCloudJavaKubernetesLinuxPython
About the role
Key responsibilities & impact- Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services
- Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues
- Debug and analyze complex system-level issues to identify root causes and drive timely resolution
- Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA™ services
- Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation
- Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform
Requirements
What you’ll need- 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
- 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.
Benefits
Comp & perks- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
ATS Keywords
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Hard Skills & Tools
PythonJavaC++CI/CD pipelinesDevOps practicesLinux virtualizationKubernetesnetworking protocolssoftware design principlesautomation
Soft Skills
communication skillscollaboration skillsproblem-solvingadaptabilityteamwork
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Software Engineering