✦ Luna Orbit — Software Engineering

Software Engineering Manager - Data Center Systems

at Nvidia

📍 2 Locations Unknown Posted March 13, 2026
Type Full-Time
Experience mid
Exp. Years 8+ years
Education Not specified
Category Software Engineering

This role involves leading the development and optimization of large-scale AI and data center systems, focusing on GPU performance, system tuning, and infrastructure management.

  • Lead system design
  • Optimize AI workloads
  • Mentor engineering teams
  • Develop system tuning tools
  • Collaborate on infrastructure improvements

The environment includes CUDA programming, Linux-based systems, container orchestration, high-performance computing, and deep learning workloads.

The ideal candidate is a software engineering manager with extensive experience in data center systems, GPU computing, and AI workloads. They possess strong leadership skills, expertise in CUDA, Linux, and container technologies, and a deep understanding of high-performance system design.

Understanding of accelerated computing software stacks (CUDA)Experience with cloud and container-based architecturesStrong C/C++/Python/Bash programmingSystems architecture knowledgeExperience with high performance computing or deep learningLinux OS experienceStrong communication skills
Experience with performance tuningExperience with system design for AI workloadsExperience with container technology
CUDALinuxDockerKubernetesCloud platformsHigh performance computing environments
C++PythonBashCUDALinuxContainer technologyCloud computingHigh performance computingDeep learningSystem design
C++PythonBashCloud computingContainer technologyLinuxHigh performance computingDeep learningAI workloadsSystem designPerformance tuningData center systemsGPU computingDistributed systems
LeadershipMentoringTeamworkCommunicationAnalytical skillsProblem-solvingMultitasking
Industry Technology
Job Function Managing and optimizing data center AI systems and GPU computing
Software Engineering ManagerData Center SystemsCUDACloud computingContainer technologyLinuxHigh performance computingDeep learningSystem designPerformance tuningDistributed systemsGPU computingAI workloadsSystem architectureLeadershipMentoring

Lack of experience with CUDA or GPU computing, No background in high performance computing or deep learning, Inexperience with cloud or container environments, No leadership or team management experience, Inability to work across multiple locations

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