Senior AI Infrastructure Engineer - DGX Cloud
(Calculated after EPF (12%), Gratuity (4.81%), Professional Tax & New Tax Regime FY 2025-26 deductions)
- Target Role:Senior AI Infrastructure Engineer - DGX Cloud
- Employer:NVIDIA
- Work Mode:REMOTE
- Location:Remote (United States)
- Compensation:USD 152,000 - 287,500 / annual
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
NVIDIA is looking for an outstanding, passionate, and dedicated Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain large-scale production systems with high efficiency and availability using a combination of software and systems engineering practices. This role demands knowledge across different systems, networking, coding, databases, capacity management, continuous delivery and deployment, and open-source cloud-enabling technologies like Kubernetes and OpenStack. The DGX Cloud Production Engineer at NVIDIA ensures our GPU cloud services deliver maximum reliability and uptime. They carefully prepare and plan changes to the system. They also manage capacity and performance. NVIDIA values diversity, curiosity, problem-solving, and openness. Our team includes people with varied backgrounds and perspectives. We encourage collaboration, big thinking, and risk-taking without blame. We promote self-direction on meaningful projects. We also provide support and mentorship to foster learning and growth. What You’ll Be Doing: Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure. Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. Support services before they become available through activities such as system design consulting, developing software tools, platforms, and frameworks, capacity management, and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. Practice sustainable incident response and blameless postmortems. Be pa
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from NVIDIA's verified career portal.
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Click "Apply on Official Site" on this page to be routed directly to NVIDIA's official applicant tracking system (EXTERNAL). RoleNest connects you directly with ₹0 candidate fees and activates automated 7-day follow-up telemetry in your dashboard.
What is the compensation or stipend for this role?▼
The verified package for this role is USD 152,000 - 287,500 / annual (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Node.js, Kubernetes are encouraged to apply.
How does RoleNest Truth Teller protect applicants from ghosting?▼
Truth Teller tracks candidate application timestamps and recruiter response telemetry. If NVIDIA does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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