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You'll build and automate scalable Linux infrastructure for networking software development, working with physical servers, virtualization, containers, and remote-management interfaces. The role requires 6+ years in systems engineering, DevOps, or infrastructure operations, with deep hands-on expertise in bare-metal Linux systems and semiconductor or hardware environments. You'll need proficiency in infrastructure-as-code, configuration management, data-center networking, and generative AI tools. Base salary is $184,000–$287,500 (Level 4) or $224,000–$356,500 (Level 5), depending on experience and location.
Written from this posting by Neural Jobs AI. The full description is below.
As a Senior DevOps Engineer, you will help lead the evolution of infrastructure operations within our Networking Software group. Building on a strong Linux systems administration foundation, you will build, automate, and operate scalable platforms that support networking software development and testing. This role offers an outstanding opportunity to work with elite technology and collaborate with ambitious engineers across global sites. If you are passionate about automation, reliability, technical leadership, and continuous improvement, this is the perfect opportunity for you!
What you'll be doing:
Build, provision, configure, and maintain scalable Linux infrastructure for networking feature creation and validation, including physical servers, network switches, virtualization platforms, containers, and remote-management interfaces.
Develop automation for infrastructure provisioning, configuration management, software deployment, upgrades, and day-to-day operations using infrastructure-as-code and configuration-management practices.
Build reusable tools and self-service capabilities that simplify infrastructure operations, improve engineering efficiency, and reduce repetitive manual work.
Diagnose and resolve complex issues spanning hardware, firmware, operating systems, virtualization, containers, storage, network communications, and application environments.
Implement monitoring, observability, capacity management, and reliability practices to improve infrastructure performance, availability, and operational readiness.
Partner with engineering, IT, facilities, security, and network teams to define technical standards, maintain documentation and runbooks, and establish scalable operational processes.
Provide technical leadership, guide infrastructure initiatives, and mentor team members in automation, troubleshooting, and operational guidelines.
What we need to see:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience.
6+ years of experience in systems engineering, DevOps, site reliability engineering, or infrastructure operations, including significant hands-on experience coordinating production or engineering Linux environments.
Experience working in the semiconductor industry or a hardware-focused engineering environment, with deep hands-on expertise in bare-metal Linux systems and server components—including CPUs, GPUs, memory, PCIe devices, NICs, storage, BIOS/UEFI, BMC/IPMI/Redfish, power, and cooling.
Proficiency in generative AI tools and skill in applying them effectively to automation, troubleshooting, documentation, operational analysis, and engineering efficiency.
Skilled at diagnosing complex issues across hardware, firmware, and operating-system layers.
Strong data-center networking knowledge, including TCP/IP, DNS, DHCP, VLANs, routing, switching, firewalls, and network troubleshooting tools.
Strong analytical, problem-solving, written communication, and cross-departmental collaboration skills, with the ability to guide technical initiatives to completion.
Ways to stand out from the crowd:
Experience managing Linux KVM/QEMU virtualization, Kubernetes clusters, multi-user engineering lab environments, NFS or distributed storage systems, and automated OS or cluster provisioning platforms.
Experience supporting fast-growing engineering labs, large-scale data-center environments, or globally distributed infrastructure.
Familiarity with observability platforms, including metrics, logging, tracing, alerting, incident management, and service-level objectives.
Experience crafting self-service infrastructure platforms and reusable automation that improves developer efficiency and theaAbility to establish clear, reliable, and scalable engineering and operational practices from evolving requirements.
Proven technical leadership, team leadership, or managerial experience, including mentoring engineers, prioritizing work, coordinating cross-functional initiatives, and driving projects from planning through completion.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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, veteran status, disability status or any other characteristic protected by law.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
188K – 292K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 90 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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