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)
NVIDIA is committed to creating an environment where diverse perspectives drive innovation. As part of the DGX Cloud team, you’ll work on ground breaking technology that powers the future of AI and cloud computing. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
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.Skills Required
- 8+ years industry experience with a Bachelor's or Master's degree (or equivalent), 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.
- Passion for automating manual processes and driving system efficiency.
- 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 NVIDIA AI/ML software stack (e.g., CUDA, cuDNN, containerization).
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
