Senior Software Engineer – Infrastructure & Network Automation

Reposted 17 Hours Ago
Be an Early Applicant
2 Locations
In-Office
200K-250K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop automation platforms for HPC data centers, enhance system performance, troubleshoot issues, and collaborate across teams.
Summary Generated by Built In

NVIDIA is looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for NVIDIA's Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the world’s biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What you’ll be doing:

  • Design and develop an automation platform used to provision, configure, and monitor HPC data centers.

  • Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.

  • Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.

  • Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.

  • Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.

  • Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.

  • Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

What we need to see:

  • B.Sc. in Computer Science, Engineering, or a related field (or equivalent practical experience).

  • 5+ years of strong hands-on experience on Linux-based platforms.

  • Proficient scripting and automation skills (Bash, Python, Ansible).

  • Background in DevOps and Network Engineering practices.

  • Hands-on experience with large-scale network architectures, switches/routers, OVS, SR-IOV, and network operating/management systems.

  • Networking expertise: Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies.

  • Practical experience with containers and cloud-native technologies (Docker, Kubernetes) and networking performance.

  • Experience with version control systems (Git) and CI/CD pipelines.

  • Independent, fast learner with strong ownership mindset, excellent debugging and problem-solving skills, and effective communication abilities.

Ways to stand out from the crowd:

  • Experience as Team Lead/ Scrum master or similar leadership role.

  • Experience in planning, tracking, and delivering projects.

  • Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible).

  • Hands-on experience with Docker and containerized environments.

  • Experience with agentic AI development.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Data centers products. The GPU, HCA, our invention, are an integral part of data centers hardware and software components. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of data centers quality. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

Ansible
Bash
Ci/Cd
Docker
Git
Kubernetes
Linux
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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