Senior Linux Kernel Engineer - High-Performance Computing
About The Position
Our client operates one of the largest GPU infrastructures in the world — 100,000+ GPUs and 10+ InfiniBand fabrics across five global data centers. Their infrastructure doubles in size every year. We’re looking for engineers who love getting deep into Linux systems, pushing hardware and software to their limits, and making the world’s fastest AI and HPC workloads run even faster. The HPC cluster engineering team is responsible for enhancing and optimizing the core components of the Cloud platform, with a specific focus on High-Performance Computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.
Requirements
- 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).
- 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and/or performance tuning).
- Experience with relevant "tools of the trade" for kernel profiling & tuning: perf, ftrace, (e)BPF etc.
- In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel etc.
- Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).
- Excellent grasp of data structures & algorithms.
Nice To Haves
- Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.
- Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).
- Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.
- Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.
- Understanding of QEMU/KVM virtualization and managing virtualized environments.
- Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.
- Familiarity with collective communication libraries like MPI and NCCL for distributed computing.
Responsibilities
- Tuning the performance of clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
- Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
- Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
- Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
- Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.
Benefits
- Salary: up to 200k OTE (base + 25% bonus)
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
