Senior Systems Software Engineer - Infrastructure

at Nvidia

USD 168,000-322,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI API @ 4 AWS @ 4 Azure @ 4 Communication @ 7 Debugging @ 4 Docker @ 4 GPU Go @ 4 Grafana @ 6 HPC @ 4 Kibana @ 6 Kubernetes @ 4 Linux @ 4 Machine Learning Prometheus @ 6 Python @ 4 Slurm @ 4

Details

NVIDIA is looking for a systems software engineer to design and build next-generation architecture and software for managing storage services that support GPU design, VLSI, corporate, and AI/ML teams. The role involves building self-service capabilities and highly available infrastructure services supporting NVIDIA users 24/7/365.

Responsibilities

Define, build, and manage an enterprise software engineering platform for storage infrastructure and services using enterprise appliances, networks, and open-source technologies.
Design and expand REST APIs used by thousands of engineers for on-demand storage management and workflow support.
Build and integrate provisioning, metrics, monitoring, and software for storage service management workflows.
Develop tooling to automate deployment and management of large-scale design-storage environments.
Automate operational monitoring and alerting and enable self-service consumption of resources.
Document procedures and practices, perform technology evaluations, and coordinate and track system orders, installations, and deployments.

Requirements

Bachelor's degree in Computer Science or equivalent experience with 8 or more years of relevant experience; master's degree with 5 or more years of experience; or Ph.D. with 3 years of experience.
Extensive experience building and owning large-scale, multithreaded, distributed backend systems.
Experience designing and building REST APIs in Python or Go.
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Experience with cloud infrastructure, including AWS, Azure, or Google Cloud.
Background with telemetry stacks such as Grafana, Prometheus, AlertManager, and Kibana.
Strong collaboration and communication skills, including the ability to guide and influence others in a dynamic matrix environment.

Preferred Qualifications

Experience working with open-source software, including building, debugging, patching, and contributing code.
Experience solving Linux storage-related problems.
Experience designing, deploying, and managing enterprise NAS solutions such as NetApp and Pure Storage, distributed file systems such as Lustre, and S3 storage.
Experience with HPC cluster management tools such as Slurm, PBS, or LSF.

Compensation and Benefits

The base salary is determined by location, experience, and the pay of employees in similar positions. The base salary range is USD 168,000–270,250 for Level 4 and USD 200,000–322,000 for Level 5. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 14, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.