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Senior Systems Software Engineer, GPU Compute
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Nebius·Remote - United States·9 апр.

Senior Systems Software Engineer, GPU Compute

🌍 УдалённоSeniorПолная занятость🌐 Глобал
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Наша компания

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

О роли

We’re looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU 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

Чем предстоит заниматься

Tuning the performance of GPU 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

Наши требования

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 performance tuning)
In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems
Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python)
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
We offer competitive salaries ranging from $170k-$300k + equity based on your experience
We conduct coding interviews as part of the process

Мы предлагаем

Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

Дополнительно

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
N
Nebius
Remote - United States

ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано9 апр.
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