NVIDIA is seeking an engineer to join the Scheduling team within the Managed AI Research Superclusters (MARS). This role focuses on designing and implementing GPU compute clusters for demanding AI and deep learning workloads. The team is responsible for developing innovative scheduling solutions to optimize resource usage and performance. Candidates will work closely with technical leaders to tackle challenges in machine learning and cloud computing.

• Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
• 5+ years of work experience
• Strong understanding of batch scheduling, preferably with experience in schedulers such as SLURM or K8s batch schedulers
• Significant experience in systems programming languages such as C/C++ & Go as well as scripting languages such as Python and bash
• Established experience in Linux operating system, environment and tools
• Experience analyzing and tuning performance for a variety of AI workloads
• In-depth understanding of container technologies like Docker, Singularity, Podman
• Excellent communication, interpersonal and customer collaboration skills

• Design and develop new scheduling features and add-on services to improve GPU compute clusters
• Design and develop batch workload management and orchestration services
• Provide support to staff and end users to resolve batch scheduler issues
• Build and improve the ecosystem around GPU-accelerated computing
• Conduct performance analysis and optimizations of deep learning workflows
• Develop large scale automation solutions
• Perform root cause analysis and suggest corrective actions for problems
• Identify and fix problems before they occur

• 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.