NVIDIA · 18 hours ago
Senior Field Application Engineer - AI Factory
Texas, United States
Full-time
Onsite
Senior Level, Lead/Staff
$160K/yr - $305K/yr
8+ years expNVIDIA is a leader in AI platforms impacting various sectors, and they are seeking a Field Applications Engineer to provide technical leadership for AI datacenter deployments. The role involves troubleshooting complex issues, supporting sales teams, and collaborating with customers to drive the adoption of NVIDIA solutions in the enterprise AI space.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness
Lead technical deployments of NVIDIA AI systems, collaborate cross-functionally, support L11 factory integration
Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies
Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators
Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space
Support L11 factory integration activities by working with OEM partners to embed NVIDIA technologies into manufacturing workflows, accelerating deployment readiness and time-to-value
Qualification
Required
Bachelor's or Master's degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience
8+ years of experience in system design or technical customer support within the technology industry, including hands-on involvement in L11 factory integration, validation, and scaling activities
Deep knowledge of datacenter hardware such as servers, storage systems, and network devices
Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments
Excellent written and verbal communication skills, with a proven ability to collaborate effectively across engineering and leadership teams
Preferred
Proven experience with large-scale datacenter rollouts and integration of solutions into OEM platforms, including support for L11 factory integration and the ability to scale production efficiently
Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments
Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments
Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems
Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout—especially in industrial, military, and ruggedized computing environments
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Business Insider
2026-01-09
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2026-01-09
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