Senior DGX Cloud Software Engineer- Infrastructure Automation and Distributed Systems

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Job Overview

The Senior DGX Cloud Software Engineer, focusing on Infrastructure Automation and Distributed Systems at NVIDIA, will play a critical role in designing and developing automated solutions for scalable cloud infrastructure. This position entails working closely with cross-functional teams to enhance and optimize distributed systems, ensuring efficiency and reliability. The successful candidate will leverage their expertise to streamline processes, contribute to the advancement of DL (Deep Learning) initiatives, and support the growth of NVIDIA's cloud offerings.

Job Responsibilities

• Develop and implement automation frameworks for infrastructure deployment and management.
• Design and optimize distributed systems to enhance performance and scalability.
• Collaborate with engineering and operations teams to identify bottlenecks and implement solutions.
• Conduct system assessments, troubleshooting, and optimization efforts to ensure high availability.
• Document processes, workflows, and best practices for future reference and training.
• Participate in code reviews and mentor junior engineers to foster professional development.
• Stay updated with industry trends and emerging technologies to drive innovation.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• A minimum of 5 years of experience in software engineering, with a focus on infrastructure automation and distributed systems.
• Proficient in programming languages such as Python, Go, or Java.
• Experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Solid understanding of networking concepts, cloud architecture, and microservices.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong analytical and problem-solving skills, with a detail-oriented mindset.

Technologies & Tools

The Senior DGX Cloud Software Engineer will work with a variety of advanced technologies and tools, including but not limited to cloud platforms (AWS, Azure, GCP), configuration management tools (Ansible, Terraform), and distributed computing frameworks (Hadoop, Spark). Familiarity with version control systems such as Git and monitoring tools like Prometheus and Grafana will also be essential to effectively manage and optimize cloud infrastructure.

Ideal Candidates

Ideal candidates for this position are proactive thinkers who possess strong technical acumen and demonstrate a passion for continuous improvement and innovation. They exhibit exceptional communication skills and are able to collaborate effectively with diverse teams. A commitment to excellence, a results-driven attitude, and a capability to adapt to fast-paced environments will contribute significantly to the candidate’s success in this role. Candidates who thrive on solving complex challenges and have a genuine enthusiasm for data-driven solutions are highly encouraged to apply.