Senior Software Engineer, AI Data

NVIDIA Corporation; Durham (NC); In loco; USD 170.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Descrizione del lavoro

NVIDIA Corporation in Durham, NC is seeking an experienced engineer to design and build a multi-cloud AI data platform for large GPU workloads. You will focus on durable data pipelines and scalable storage across systems.

You will own Kubernetes-native integrations, quotas, data lifecycle, I/O telemetry, capacity planning, and production reliability, including on-call and incident prevention.

Competenze

• A bachelor's or master's degree in CS/CE/EE or related field, or equivalent experience.
• 5+ years building production systems or data-infrastructure software.
• Experience with distributed file systems, large-scale object storage, or data pipelines.
• Strong I/O performance knowledge and production service improvement track record.
• Proficiency in Go, Rust, C, C++, and Python.

Mansioni

• Design and build a multi-cloud AI data platform for large GPU workloads.
• Own Kubernetes-native integrations, quotas, data lifecycle, and I/O telemetry.
• Plan capacity and ensure production reliability, including on-call incident prevention.

Conoscenze

Go

Rust

C

C++

Python

Kubernetes

Data Pipelines

I/O Performance

Production Reliability

Formazione

Bachelor's or Master's in Computer Science / Computer Engineering / Electrical Engineering or related field

Strumenti

Slurm

Kubernetes

Descrizione del lavoro

Design and build a multi-cloud AI data platform that places, caches, streams, and manages datasets, checkpoints, and scratch data across storage systems for large GPU workloads. Own Kubernetes-native integrations, quotas and data lifecycle, I/O telemetry, capacity planning, and production reliability, including on-call and incident prevention.

Requirements

Requires a bachelor's or master's degree in computer science, computer engineering, electrical engineering, or a related field, or equivalent experience, plus at least five years building production systems or data-infrastructure software. Candidates need deep experience with distributed file systems, large-scale object storage, or data pipelines; strong I/O performance knowledge; proficiency in Go, Rust, C, or C++ and Python; and a record of improving production services.

Key Skills

Distributed Storage Systems, Object Storage, Data Pipelines, I/O Performance, Go, Rust, C, C++, Python, Kubernetes, Slurm, AI Training Data, Distributed Caching, Checkpoint Management, Quota Management, Production Reliability

Benefits

Equity, Benefits