Description
We are looking for a senior software engineer to join our DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of NVIDIA BlueField data processing units (DPUs). With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of NVIDIA's DPUs.
As a senior software engineer, you will support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services. You will also contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues.
Key responsibilities include:
- Developing and maintaining CI/CD pipelines to automate build and deployment processes
- Improving monitoring and observability across services
- Contributing to maintaining both physical and cloud-based infrastructure
- Debugging and analysing complex system-level issues to identify root causes and drive timely resolution
- Contributing to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA services
- Engaging in the full software development lifecycle of verification components, from design and architecture through implementation and validation
- Developing automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform
Requirements include:
- 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
Preferred qualifications include:
- 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