The Production Engineer role at NVIDIA focuses on designing, implementing, and maintaining large-scale storage systems to ensure high efficiency and availability. The team is responsible for optimizing data access patterns and managing distributed storage systems, particularly for AI/ML workloads. Professionals in this role utilize a variety of tools and practices to enhance system reliability and performance. The position emphasizes automation and continuous improvement in storage operations.

• BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field with 8+ years of practical experience.
• Experience with distributed and high-performance storage solutions, including clustered and parallel file systems.
• Solid understanding of block, file, and object storage technologies and their performance characteristics.
• Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.
• Expertise in algorithms, data structures, complexity analysis, and software design for large-scale Linux-based storage systems.
• Experience in one or more programming languages such as C/C++, Java, Python, Go, NodeJS, and Bash.
• Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform.
• Experience with observability and tracing tools like InfluxDB, Prometheus, Grafana, and the Elastic stack.

• Design, implement, and support large-scale storage clusters, ensuring scalability, high availability, and data integrity.
• Develop and maintain storage monitoring, logging, and alerting systems to ensure proactive detection and resolution of performance issues.
• Work with AI/ML workloads to improve storage architectures for low-latency access and high-throughput performance.
• Improve the lifecycle of storage services from inception and design to deployment, operation, and continuous optimization.
• Maintain production storage infrastructure by supervising availability, latency, and system health.
• Optimize storage efficiency through compression, deduplication, tiering strategies, and intelligent workload placement.
• Scale storage systems sustainably using AI/ML-driven automation and dynamic data migration techniques.
• Ensure data security and compliance by implementing encryption, access controls, and auditing mechanisms for storage systems.
• Practice sustainable incident response and participate in an on-call rotation to support storage and production systems.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.