Senior Software Engineer, DGX Cloud Orchestration - NVIDIA

We are looking for a Senior Software Engineer to join our 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. NVIDIA is widely recognized as one of the most desirable employers, with some of the most talented people in the world working for us. If you're passionate about building scalable, efficient systems to power cloud operations, we invite you to join our team.

What You'll Be Doing:

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 like Kubernetes and observability systems such as Prometheus, OpenTelemetry, 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.

What we need to see:

8+ years of industry experience with a Bachelor’s or Master’s degree (or equivalent experience), or 2+ years 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 (AWS, GCP, Azure) and container technologies like 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.

Ways to Stand Out from the Crowd:

A track record of designing workflow orchestration systems for large-scale infrastructure.

Proven experience in 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 (e.g., CUDA, cuDNN, containerization)