{"id":2667857,"url":"https://alion.io/job/nvidia-senior-software-engineer-storage","title":"Senior Software Engineer - Storage","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","Redmond, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152000,"max":241500,"currency":"USD","period":"year","gross":null,"usd_annual":241500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T21:36:25Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"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. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads.\nWe are seeking a Software Engineer to join our MARS team at NVIDIA. In this role, you will help design, build, and operate exascale infrastructure that powers AI research and development at unprecedented scale. You will work on distributed systems, large-scale storage and compute orchestration, and end-to-end automation that enable AI researchers to focus on innovation rather than infrastructure. You will collaborate closely with engineers and researchers across NVIDIA to architect reliable, efficient, and secure systems that underpin our Managed AI Research Superclusters - infrastructure capable of training frontier models and executing global-scale workloads.\nWhat You’ll Be Doing:\nDesign, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI workloads.\n\nBuild software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clusters.\n\nCollaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutions.\n\nDrive improvements in system reliability, performance, and observability to meet exascale standards.\n\nPartner with security, networking, and platform teams to ensure that MARS infrastructure meets the highest standards of robustness and compliance.\n\nParticipate in design reviews, contribute to system architecture discussions, and influence the evolution of NVIDIA’s AI infrastructure stack.\n\nStay current with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of MARS.\n\nWhat We Need to See:\nBS or equivalent experience in Computer Science, Computer Engineering, or a related technical field.\n\n5+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environments.\n\nStrong programming skills in C++, Python, or Go, with proven experience designing production-quality software systems.\n\nSolid understanding of distributed systems principles, data management, and large-scale orchestration frameworks.\n\nHands-on experience with high-performance storage (e.g., Lustre, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF).\n\nFamiliarity with cloud environments (Azure, AWS, GCP) and infrastructure automation tools.\n\nStrong problem-solving skills, ownership mindset, and the ability to thrive in a fast-paced, collaborative environment.\n\nExcellent communication skills and a track record of cross-functional collaboration.\n\nWays to Stand Out from the Crowd:\nGraduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a related field.\n\nExpertise in large-scale data management, cluster scheduling, or workload orchestration at exascale scale.\n\nExperience building or maintaining infrastructure for AI/ML research, including distributed training pipelines using PyTorch, JAX, or NeMo.\n\nFamiliarity with data security, compliance, and lifecycle management for research-scale datasets.\n\nDemonstrated leadership in system architecture design, performance optimization, or reliability engineering.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 18, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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