We are now looking for a Field Applications Engineer! NVIDIA's AI platforms have already made a major impact across leading academic institutions, start-ups, and the world's largest enterprise companies. We need passionate, creative, and driven individuals to help us continue delivering groundbreaking enterprise solutions. This role is ideal for a specialist in system design and networking who can lead customers through the AI computing revolution.
What you'll be doing:- 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.
What we need to see:- 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.
Ways to stand out from the crowd:- 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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