Senior DGX Cloud Software Engineer- Infrastructure Automation and Distributed Systems

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Job Overview

The Senior DGX Cloud Software Engineer - Infrastructure Automation and Distributed Systems at NVIDIA is a critical role responsible for designing, implementing, and optimizing cloud infrastructure solutions that support NVIDIA's state-of-the-art artificial intelligence (AI) workloads. The engineer will work collaboratively within a cross-functional team to deliver innovative and efficient distributed systems that can handle large-scale data processing, ensuring high availability, performance, and scalability of cloud resources. The successful candidate will also be required to automate processes, contribute to system architecture design, and ensure seamless integration of software components, directly impacting the performance and efficiency of our computing networks.

Job Responsibilities

• Design, develop, and maintain automated infrastructure solutions for cloud deployments that support AI workloads.
• Implement best practices for infrastructure automation and operational excellence within distributed systems.
• Collaborate with cross-disciplinary teams to define software and hardware requirements for optimal cloud infrastructure design.
• Monitor system performance and troubleshoot issues to ensure high availability and reliability of cloud services.
• Enhance and automate deployment pipelines for continuous integration and delivery processes.
• Document system architecture, processes, and code to ensure knowledge sharing and future scalability.
• Guide and mentor junior engineers in best practices for software development and cloud infrastructure management.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• A minimum of 5 years of professional experience in cloud infrastructure automation and distributed systems.
• Proficiency in programming languages such as Python, Go, or C++.
• Extensive knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and container orchestration technologies (e.g., Kubernetes).
• Experience with infrastructure as code (e.g., Terraform, Ansible, or CloudFormation).
• Strong understanding of networking concepts, storage systems, and distributed file systems.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Technologies & Tools

The Senior DGX Cloud Software Engineer will work with a diverse set of technologies, including cloud computing platforms (AWS, Azure, Google Cloud), containerization tools (Docker, Kubernetes), automation and configuration management tools (Terraform, Ansible), monitoring and logging solutions (Prometheus, Grafana), and programming languages (Python, Go, C++). Familiarity with networking and security protocols in cloud environments is also essential to ensure the efficient operation of distributed systems.

Ideal Candidates

Ideal candidates for this position possess a strong technical foundation in software engineering and cloud infrastructure with a proven ability to innovate and troubleshoot complex systems. They exhibit exceptional analytical and problem-solving skills, coupled with a passion for developing efficient and scalable solutions. Successful candidates will also demonstrate effective communication and teamwork abilities, showing a capacity to collaborate with diverse teams across the organization. A proactive attitude towards industry trends and advancements in cloud technology, along with a desire to mentor and develop others, will distinguish an ideal candidate in this role.