[Remote] Senior Software Engineer - Storage

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. We are seeking a Software Engineer to join our MARS team, where you will help design and operate exascale infrastructure that supports AI research and development. This role involves collaborating with engineers and researchers to build reliable systems that enable large-scale AI workloads.ResponsibilitiesDesign, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI workloadsBuild software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clustersCollaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutionsDrive improvements in system reliability, performance, and observability to meet exascale standardsPartner with security, networking, and platform teams to ensure that MARS infrastructure meets the highest standards of robustness and complianceParticipate in design reviews, contribute to system architecture discussions, and influence the evolution of NVIDIA’s AI infrastructure stackStay current with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of MARSSkillsBS or equivalent experience in Computer Science, Computer Engineering, or a related technical field5+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environmentsStrong programming skills in C++, Python, or Go, with proven experience designing production-quality software systemsSolid understanding of distributed systems principles, data management, and large-scale orchestration frameworksHands-on experience with high-performance storage (e.g., Lustre, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF)Familiarity with cloud environments (Azure, AWS, GCP) and infrastructure automation toolsStrong problem-solving skills, ownership mindset, and the ability to thrive in a fast-paced, collaborative environmentExcellent communication skills and a track record of cross-functional collaborationGraduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a related fieldExpertise in large-scale data management, cluster scheduling, or workload orchestration at exascale scaleExperience building or maintaining infrastructure for AI/ML research, including distributed training pipelines using PyTorch, JAX, or NeMoFamiliarity with data security, compliance, and lifecycle management for research-scale datasetsDemonstrated leadership in system architecture design, performance optimization, or reliability engineeringBenefitsYou will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).Company OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.