Senior Customer Success Engineer - DGX Cloud
$200,000–$322,000 year
RemoteUnited States
Job Summary
Partner with internal customers across the full lifecycle of DGX Cloud usage, helping teams adopt the platform, remove blockers, and achieve faster time to value. Translate workload, business, and technical requirements into scalable recommendations for compute, networking, storage, and cloud environments. Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve GPU resource efficiency. Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads. Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.
Required Qualifications
- 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
- Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting
- Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution
Desired Qualifications
- 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 agentic workflows that improve customer operations at scale
- 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
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