Senior Software Engineer, AI Data

NVIDIA Corporation; Westford (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Westford, MA seeks a seasoned data infrastructure engineer to design and operate a multi-cloud AI data platform. You will manage datasets, checkpoints, and scratch data across storage systems, Kubernetes, and Slurm, owning quotas, lifecycle, telemetry, and capacity planning for GPU-heavy workloads.

You will apply strong Go, Rust, C/C++, and Python skills to build reliable data services, improve I/O performance, and scale distributed storage and pipelines.

Qualifications

• Requires a bachelor's or master's degree in a relevant engineering or computer science field, or equivalent experience.
• At least five years building production systems or data-infrastructure software.
• Deep experience with distributed file systems, large-scale object storage, or data pipelines.

Responsibilities

• Design and build a multi-cloud AI data platform across storage systems, Kubernetes, and Slurm.
• Own data quotas, lifecycle, telemetry, capacity planning, and production reliability for workloads across large GPU fleets.

Skills

Distributed Storage Systems

Object Storage

Data Pipelines

I/O Performance Optimization

Go

Rust

C

C++

Python

Kubernetes

Slurm

AI Training Data

Checkpoint Management

Distributed Caching

Quota Management

Production Service Ownership

Education

Bachelor's or Master's in a relevant field

Tools

Kubernetes

Slurm

Job description

Design and build a multi-cloud AI data platform that places, caches, streams, and manages datasets, checkpoints, and scratch data across storage systems, Kubernetes, and Slurm. Own data quotas, lifecycle, telemetry, capacity planning, and production reliability for workloads spanning large GPU fleets.

Requirements: Requires a bachelor's or master's degree in a relevant engineering or computer science field, or equivalent experience, and 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 Optimization, Go, Rust, C, C++, Python, Kubernetes, Slurm, AI Training Data, Checkpoint Management, Distributed Caching, Quota Management, Production Service Ownership

Benefits:

• Equity
• Benefits