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.

Requirements

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.
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 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

system designtechnical customer supportL11 factory integrationdatacenter hardwarenetworking expertiseBash scriptingAnsiblePython programmingGPU technologiesDPU technologies

Soft skills

analytical skillsproblem-solving skillstime-management skillsorganizational skillswritten communication skillsverbal communication skillscollaboration skills