Skills this job asks for
Deep learningLinuxAndroidTriagePythonMySQLREST APIs
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Nvidia Corporation paid sponsored hires in similar roles3 certified filings for “Engineer Senior Network Infrastructure” (Database Administrators) in CA: $177k–$177k, median $177k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles
- 3 certified filings for “Engineer Senior Network Infrastructure” (Database Administrators) in CA: $177k–$177k, median $177k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
NVIDIA is looking for a Senior DevOps and Infrastructure Engineer to work in SW Infra Cloud Infrastructure Team. SW Infra is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them? We are excited to onboard a fun-loving person like you.
What you'll be doing:
• Support OpenStack Team Operations queue working within our Infrastructure and Cloud Operations Environments.
• Develop and support OpenStack Services and Cloud based operations, monitoring, troubleshooting and assisting triage and resolution of bugs, and KPI investigations.
• Work closely with world-class SRE, PaaS, Image and Infrastructure engineers, architects, technical product managers and application developers to support code development and setting the best strategies in place for a product launch.
• Solve sophisticated problems involving multi-site OpenStack Regional Deployments supporting NVIDIA products.
• Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to deployments.
• Directly contribute to the overall quality of deployments and improve time to market for next gen products.
What we need to see:
• Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
• 8+ years of relevant experience supporting Openstack with Ironic.
• Thorough understanding of the PXE process, including host configuration (BIOS and network card), general network configurations such as VLANs, switch port settings, and cabling.
• Knowledge of services involved in PXE booting, such as DHCP (DNSMASK), TFTP, HTTP, and ISCSI, essential for troubleshooting.
• Familiarity with OpenStack services and their interactions, including nova, nova placement, Neutron, Glance, Cinder, and Ironic.
• Ability to troubleshoot across different OpenStack applications, comprehend the OpenStack deployment process, and understand service dependencies and order of operations.
• Proficiency in using AI DevOps Tools, Python coding.
• Expertise in supporting third-party services like MySQL, RabbitMQ, CEPH, HaProxy, and Keepalived.
• Ability to use tools such as Ansible, Gitlab, Jenkins, Grafana, DataDog and Elastic Search for successful system configuration and maintenance.
Ways to stand out from the crowd:
• Experience with Openstack Ironic, ML2 and Baremetal provisioning
• Familiarity working in large scale R&D/QA environments, for product bring ups.
• Experience with running OpenStack in Containerized Environment
• Background with Linux, RHEL, Anisible, Bash and Python.
• Familiarity with Jenkins, Ansible and REST APIs.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and servic
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