Jobs / United States / Nvidia Corporation

Nvidia Corporation

Field Application Engineer - EMEA

3 Locations Posted today

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Skills this job asks for

NetworkingTriageLinuxKubernetesCustomer service

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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.
  • 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.
  • What Nvidia Corporation paid sponsored hires in similar roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k.
  • 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
701 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).

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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world.   We are looking for a passionate Field Application Engineer (FAE) to drive technical engagements with key customers across EMEA, enabling them to build world‑class solutions on NVIDIA platforms. You will act as the primary technical interface between our customers, NVIDIA sales, and NVIDIA engineering teams, ensuring successful design‑in, deployment, and optimization of our GPU, AI, networking, and embedded products. You combine deep technical expertise with strong customer‑facing skills and enjoy solving complex system‑level problems in real customer environments.    What You’ll Be Doing:   • Hardware design-in & bring-up: Support integration of NVIDIA silicon (GPUs, ConnectX NICs, BlueField DPUs, Grace & Vera CPUs) into partner system architectures. Participate in schematic reviews, PCB stack-up reviews, EVT/DVT bring-up.  • Issue triage & escalation: Track, reproduce, and drive resolution of customer bugs across ticketing systems. Coordinate with internal Application Engineers and Product teams, and communicate workarounds, fixes, and release timelines back to the customer.   • Firmware & software stack support: Guide customers through NVIDIA platform firmware (NIC FW, GPU FW, BMC/BIOS, FPGA, ERoT), GPU Operator, Network Operator, DOCA/OFED, DCGM, MFT tools, and NVQual qualification workflows.  • Cross-company coordination: Bridge the customer, NVIDIA engineering (GPU, networking, platform SW), third-party vendors, and internal account/program management teams. Lead NDA processes and NVOnline access for partner engineers.  • Telco / AI-RAN expertise: Work closely with the Aerial SDK Product SA and HQ Telco strategy to support partner Aerial integration, GPU-accelerated L1/L2 RAN, and platform deployment.   • OEM portfolio support: Support additional OEM partners on HGX, IGX, and MGX reference designs, answering technical questions on power architecture, thermal management, PCIe topology, partner enablement docs, and design proposal reviews.  • Customer on-site engagement: Oc casional travels to partner sites    What We Need to See:   • 15+ years of experience in a customer-facing technical role (FAE, Solutions Architect, Systems Engineer) in the datacenter, HPC, networking, or telecom hardware ecosystem.  • MS or PhD in Computer Science, Engineering, Mathematics, or related technical field (or equivalent experience). • Strong Linux systems knowledge: comfortable with kernel modules, driver stacks, Kubernetes/OpenShift operators, container runtimes, and firmware update workflows.  • Networking fundamentals: Ethernet, InfiniBand, SR-IOV, RDMA, NIC configuration. Experience with Mellanox/NVIDIA ConnectX or BlueField is a strong plus.  • GPU / accelerated computing awareness: understanding of NVIDIA GPU platforms (HGX, MGX, DGX), CUDA, GPU Operator, DCGM. Deep GPU expertise is a plus but can be developed on the job.  • Hardware-level comfort: ability to read schematics, understand PCIe topology, engage in thermal/mechanical design reviews, and participate in board-level bring-up and debug.    Ways to Stand Out from the Crowd:   •

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