Senior Software Engineer - Storage

NVIDIA Corporation; Redmond; Vor Ort; AUD 219.000 - 414.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

NVIDIA in Australia is seeking an experienced Senior Systems Engineer for the Managed AI Research Superclusters (MARS) to design and operate large-scale AI infrastructure across multi-region GPU clusters. You will drive scalable data, compute, and networking solutions for demanding workloads.

The role requires 5+ years in distributed systems, strong C++, Python, or Go skills, and hands-on experience with Lustre/GPFS storage and Slurm/Kubernetes.

Qualifikationen

• BS or equivalent experience in Computer Science or related field.
• 5+ years in large-scale distributed systems or HPC environments.
• Strong programming in C++, Python, or Go.
• Solid understanding of distributed systems and orchestration.
• Hands-on storage and compute scheduling experience (Lustre/GPFS, Slurm, Kubernetes, LSF).
• Familiar with cloud environments (Azure, AWS, GCP).
• Strong problem-solving and collaboration skills.
• Excellent communication and cross-functional teamwork.

Aufgaben

• Design, develop, and operate distributed AI infrastructure.
• Build automation to orchestrate workloads across GPUs and storage.
• Collaborate with AI/ML research teams to translate needs into scalable solutions.
• Improve reliability, performance, and observability to exascale standards.
• Partner with security, networking, and platform teams for robust systems.
• Participate in design reviews and system architecture discussions.
• Stay current with distributed systems and AI framework advances.

Kenntnisse

Distributed systems

High performance computing

C++

Python

Go

Ausbildung

BS in Computer Science or related

Tools

Lustre

GPFS

BeeGFS

Slurm

Kubernetes

LSF

Azure

AWS

GCP

Jobbeschreibung

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads.

What You’ll Be Doing

• Design, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI workloads.
• Build software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clusters.
• Collaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutions.
• Drive improvements in system reliability, performance, and observability to meet exascale standards.
• Partner with security, networking, and platform teams to ensure that MARS infrastructure meets the highest standards of robustness and compliance.
• Participate in design reviews, contribute to system architecture discussions, and influence the evolution of NVIDIA’s AI infrastructure stack.
• Stay current with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of MARS.

What We Need To See

• BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environments.
• Strong programming skills in C++, Python, or Go, with proven experience designing production-quality software systems.
• Solid understanding of distributed systems principles, data management, and large-scale orchestration frameworks.
• Hands‑on experience with high‑performance storage (e.g., Lustre, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF).
• Familiarity with cloud environments (Azure, AWS, GCP) and infrastructure automation tools.
• Strong problem‑solving skills, ownership mindset, and the ability to thrive in a fast‑paced, collaborative environment.
• Excellent communication skills and a track record of cross‑functional collaboration.

Ways To Stand Out From The Crowd

• Graduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a related field.
• Expertise in large-scale data management, cluster scheduling, or workload orchestration at exascale scale.
• Experience building or maintaining infrastructure for AI/ML research, including distributed training pipelines using PyTorch, JAX, or NeMo.
• Familiarity with data security, compliance, and lifecycle management for research‑scale datasets.
• Demonstrated leadership in system architecture design, performance optimization, or reliability engineering.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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