Senior Systems Software Engineer – Data Center Performance

🔥 30 minutes ago

🌐 Poland, Germany, +1 more countries – Remote

🇵🇱 Poland – Remote 🇩🇪 Germany – Remote 🇫🇷 France – Remote

💵 zł292.5k - zł650k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Characterize node, rack, and cluster performance using microbenchmarks and representative applications • Measure throughput, latency, and scaling efficiency to identify compute, memory, communication, and storage bottlenecks • Identify Linux performance problems related to CPU scheduling, NUMA locality, CPU and memory affinity, interrupt handling, and resource contention • Assess the impact of Linux performance issues on GPU usage and application efficiency • Examine distributed workload scaling, collective communication, synchronization delays, slow nodes, and computation/communication interplay • Assess how GPU and NIC positioning, interconnect structure, and network traffic impact performance • Combine application profiles, system traces, hardware counters, and cluster telemetry to isolate root causes • Develop focused reproductions and collaborate with hardware, firmware, driver, library, and application teams to implement and verify fixes • Develop and maintain Python tools for automated benchmark execution, data collection, and performance analysis • Set up repeatable baselines, assess run-to-run variability, and identify regressions across hardware configurations and software releases • Define and complete performance validation for new platforms and cluster deployments • Identify underperforming nodes, links, or storage paths and verify corrective actions restore workload performance

🎯 Requirements

• Extensive practical experience in Linux performance analysis, including processes and threads, CPU and memory architecture, NUMA, I/O, and networking • Experience investigating performance in multi-node HPC or GPU-accelerated systems • Deep expertise in at least one of: GPU application performance, Linux systems performance, high-speed networking and collective communication, parallel storage, or HPC performance tooling • Proficiency in Python • Experience developing and debugging performance-sensitive code in C, C++ and CUDA • Ability to build controlled experiments, interpret profiling and counter data, and demonstrate reproducible improvements • Ability to independently drive technical efforts across hardware and software boundaries and communicate findings clearly • BS or MS in Computer Science, Engineering, Mathematics, or Physics, or equivalent experience • 8+ years of applicable experience • Experience with Nsight Systems, Nsight Compute, Linux perf, or eBPF-based tools • Experience with RDMA and MPI or NCCL • Experience analyzing PCIe, NVLink, InfiniBand, or Ethernet interconnect performance • Experience with Slurm, container runtimes, and cgroups • Experience improving distributed training, inference, or scientific applications through strong- and weak-scaling studies • Experience building automated performance regression frameworks using tools such as ReFrame

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