Senior Customer Success Engineer - DGX Cloud

What You’ll Be Doing

• Partner with internal customers across the full lifecycle of their DGX Cloud usage, helping teams adopt the platform, remove blockers, and get faster time to value.
• Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments.
• Turn repeat customer needs into reusable playbooks, tooling, dashboards, and operating patterns that improve adoption and reduce friction.
• Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency.
• Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads.
• Use data, usage signals, and operational trends to identify risks, spot opportunities, and improve how DGX Cloud supports current and future demand.
• Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.

What We Need To See

• BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of experience in customer success, solutions architecture, cloud engineering, technical account management, or a similar customer-facing infrastructure role.
• Strong hands-on knowledge of cloud infrastructure, including compute, networking, storage, and deployment patterns across public cloud and on-prem environments.
• Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure.
• Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication.
• Experience using data, operational signals, or customer feedback to drive decisions, improve adoption, and shape better workflows or product outcomes.
• Experience building automations, internal tools, or agent workflows that improve customer operations at scale.

Ways To Stand Out From The Crowd

• Experience supporting AI, ML, or HPC workloads in cloud or hybrid environments.
• Background in GPU capacity planning, performance optimization, or infrastructure utilization.
• Experience building automations, internal tools, or agent workflows that improve customer operations at scale.

Qualifications

• Strong executive communication skills, including the ability to present recommendations, trade-offs, and roadmap inputs clearly.
• History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.

Schedule

Applications for this job will be accepted at least until August 2, 2026.