Senior Software Engineer, DGX Cloud Orchestration

at Nvidia

USD 184,000-356,500 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 @ 3 API @ 4 AWS @ 7 Azure @ 7 CUDA @ 3 Communication @ 6 Data Pipelines @ 4 Debugging @ 7 Distributed Systems @ 4 Docker @ 7 GCP @ 7 GPU Go @ 6 Grafana Java @ 6 Kubernetes @ 7 Machine Learning Observability OpenTelemetry Prometheus Python @ 6

Details

We are looking for a Senior Software Engineer to join NVIDIA’s DGX Cloud team and build the foundational systems that drive NVIDIA’s high-performance GPU infrastructure. You will play a critical role in designing scalable automation solutions, integrating diverse systems, and enabling seamless workflows across global cloud operations.

Responsibilities

Design and develop APIs to orchestrate and integrate operational workflows.
Build state management and workflow automation systems that streamline infrastructure lifecycle processes.
Collaborate across teams to codify business processes into scalable, self-measuring systems.
Develop extensible, schema-driven platforms for reducing manual toil and ensuring operational consistency.
Drive integrations with container orchestration tools such as Kubernetes and observability systems including Prometheus, OpenTelemetry, and Grafana.
Optimize the reliability and efficiency of cloud operations through automated workflows and telemetry systems.
Lead and ship impactful technical projects, ensuring quality and scalability at every stage.

Requirements

8+ years of industry experience with a Bachelor’s or Master’s degree, or equivalent experience; alternatively, 2+ years of experience with a PhD.
Expertise in designing, building, and operating services in a high-reliability environment.
Proficiency in programming languages such as Go, Java, or Python.
Strong understanding of cloud infrastructure, including AWS, GCP, or Azure, and container technologies such as Docker and Kubernetes.
Experience with high-scale distributed systems, including architectural patterns for APIs and data pipelines.
Outstanding communication and collaboration skills, with a focus on solving complex operational challenges.
A passion for automating manual processes and driving system efficiency.

Preferred Qualifications

A track record of designing workflow orchestration systems for large-scale infrastructure.
Proven experience reducing operational inefficiencies through automation and integration.
Strong debugging and problem-solving skills in distributed environments.
Prior experience or strong familiarity with the operational aspects of the NVIDIA AI/ML software stack, such as CUDA, cuDNN, and containerization.

Benefits

The role includes eligibility for equity and benefits. NVIDIA is committed to creating an inclusive work environment and is an equal opportunity employer.

Additional Information

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Applications will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.