Applied Systems Engineer, Performance

NVIDIA is seeking an experienced engineer to join its Applied Systems Engineering Performance team. The successful candidate will work on integrating comprehensive experimentation and software engineering to explore how emerging platforms respond under demanding HPC and AI workloads.

Responsibilities:

• Characterize node, rack, and cluster performance using microbenchmarks and representative applications
• Identify Linux performance problems related to CPU scheduling, NUMA locality, CPU and memory affinity, interrupt handling, and resource contention
• Examine distributed workload scaling, considering collective communication, synchronization delays, slow nodes, and the interplay between computation and communication
• Combine application profiles, system traces, hardware counters, and cluster telemetry to isolate root causes
• Develop and maintain Python tools for automated benchmark execution, data collection, and performance analysis
• Define and complete performance validation for new platforms and cluster deployments

Requirements:

• Extensive practical experience in Linux performance analysis
• Experience investigating performance in multi-node HPC or GPU-accelerated systems
• Deep expertise in at least one relevant area: GPU application performance, Linux systems performance, high-speed networking and collective communication, parallel storage, or HPC performance tooling
• Proficiency in Python to build maintainable automation and analysis tools
• Ability to build controlled experiments, interpret profiling and counter data, and demonstrate reproducible improvements in application performance
• BS or MS in Computer Science, Engineering, Mathematics, Physics (or equivalent experience), with 8+ years of applicable experience

Nice to Have:

• Experience working with profiling and tracing tools like Nsight Systems, Nsight Compute, Linux perf, or eBPF-based tools
• Practical experience with RDMA and MPI or NCCL, and analyzing performance across PCIe, NVLink, InfiniBand, or Ethernet interconnects
• Experience with Slurm, container runtimes, and cgroups
• Experience improving distributed training, inference, or scientific applications by conducting strong- and weak-scaling studies

Salary: Poland: 292,500 PLN – 507,000 PLN for Level 4; and 375,000 PLN – 650,000 PLN for Level 5 France: 87,750 EUR – 152,100 EUR for Level 4; and 114,000 EUR – 197,600 EUR for Level 5 Germany: 112,200 EUR – 194,480 EUR for Level 4; and 141,900 EUR – 245,960 EUR for Level 5