Jobs / United States / Nvidia Corporation
QA and Automation Engineer
Nvidia Corporation · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- 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. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- 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. 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 roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Nvidia Corporation
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. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
We are looking for a QA and Automation Engineer to join the NMX project team. NMX is a unified management, monitoring, and analytics platform for cloud and data center telemetry, built around key subsystems for telemetry collection, event-driven data processing, and control-plane management of networked systems. This role is a strong fit for an early-career engineer who enjoys learning complex systems, building reliable automated tests, and working closely with developers to improve product quality. What you’ll be doing: • Design, execute, and maintain manual and automated test coverage for NMX features across functional, integration, and end-to-end scenarios. • Validate core NMX workflows across telemetry, monitoring, analytics, and control-plane behaviors in data center and cluster environments. • Develop and improve automation scripts, regression suites, and validation flows to increase coverage, stability, and execution efficiency. • Investigate test failures, analyze logs and system behavior, reproduce issues, and work with developers to drive resolution. • Collaborate with QA, software, DevOps, and architecture teams to support continuous integration and release readiness. • Contribute to the team’s automation infrastructure, tools, and methodologies, in line with current QA automation team responsibilities around frameworks, infrastructure, and DevOps support. What we need to see: • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent experience. • 1+ years of experience in software QA, validation, or test automation for complex systems. • Hands-on programming or scripting ability in Python, Bash, or a similar language used for automation. • Familiarity with Linux environments, debugging, and log analysis. • Basic understanding of networking, distributed systems, or infrastructure software. • Good collaboration and communication skills, with the ability to work closely with developers and other QA engineers. Ways to stand out from the crowd: • Exposure to automation frameworks, CI pipelines, or test infrastructure tooling. • Familiarity with telemetry, observability, or monitoring systems. • Background in networking technologies such as Ethernet, InfiniBand, or NVLink-related environments, which are relevant to NMX scope. • Experience working with containerized or microservice-based systems; NMX Manager is described as a microservice architecture built around a message bus and Kubernetes-based orchestration. • Interest in improving test quality through automation, tooling, and scalable validation practices.