NIC Kernel Driver Managing Engineer

🕒 Outubro 20

🗽 New York – Remoto

🗽 New York – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👷🏻‍♀️ Engenheiro

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Cornelis Networks

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

🔧 Hardware

🏢 Corporativo

💰 $29.000.000 Series B em 2022-11

Artificial Intelligence • Hardware • Enterprise

A Cornelis Networks é líder no fornecimento de interconexões inteligentes, escaláveis e de alto desempenho, projetadas para aplicações de IA. A empresa é especializada em entregar fabrics de alto desempenho, de ponta a ponta e projetados sob medida, para organizações comerciais, científicas, acadêmicas e governamentais. As soluções da Cornelis Networks têm como objetivo elevar o desempenho, a escalabilidade e a eficiência em ambientes de hiperescala, IA em nuvem e AI/HPC on-premises (local). Seus produtos se destacam por arquitetura escalável, soluções de alta largura de banda e compatibilidade universal com aceleradores e GPUs. Originada como um spin-off da Intel, a empresa está posicionada para desafiar tecnologias existentes como InfiniBand e Ethernet, oferecendo interconexões avançadas que impulsionam a infraestrutura moderna de IA.

Descrição

• Lead the Linux kernel driver team of up to six kernel engineers • Own release planning, execution tracking, and delivery of driver features aligned with the product roadmap • Participate in headcount planning, performance management, and hiring • Perform code and design reviews • Contribute patches and debug complex kernel issues involving PCIe/MMIO, DMA, MSI-X and interrupt handling, memory registration and address translation, command/completion rings, device reset, and error recovery • Drive pre-silicon driver enablement using emulation, FPGA prototypes, and virtual PCIe device models • Lead patch submission and review cycles on linux-rdma, netdev, and related mailing lists • Keep drivers in-tree and supported across RHEL, SLES, and Ubuntu distributions • Collaborate with ASIC/silicon, firmware, libfabric provider, middleware, and validation teams • Define and stabilize kernel/user-space interfaces including ioctls, mmap'd rings, doorbells, and dma-buf for GPU and accelerator memory • Establish and maintain CI, regression, and stress coverage • Own driver documentation, module packaging, and release readiness • Triage escalations and reproduce customer-reported issues • Translate findings into prioritized fixes and communicate status to stakeholders • Own Linux kernel drivers for CN5000, CN6000, and CN7000 silicon generations

🎯 Requisitos

• 8+ years of systems/kernel software engineering experience in C on Linux • Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent experience • 2+ years of formal or informal leadership experience, such as people manager, team lead, or tech lead • Demonstrated interest in people management • Hands-on Linux device driver development • Experience with PCIe device enumeration, BAR/MMIO register access, DMA mapping, interrupt handling, locking and concurrency • Experience with kernel debugging using crash/kdump, ftrace, perf, and kgdb • Depth in at least one high-performance networking subsystem, such as Linux RDMA core, netdev datapath, or an upstream vendor NIC/fabric driver • Ability to diagnose performance and correctness issues in low-latency, high-throughput data paths • Experience contributing to open-source projects • Familiarity with upstream Linux patch and review processes • Strong written and verbal communication skills • Ability to represent the team's work to engineering leadership and customers • Prior experience as a maintainer or reviewer for an upstream Linux driver • Familiarity with HPC fabrics such as Omni-Path, InfiniBand, Slingshot, or other host fabric interface drivers • Experience with RoCEv2, congestion control, and/or Ethernet-based RDMA deployments • Familiarity with Ultra Ethernet specifications • Knowledge of libfabric/OFI provider interfaces and kernel/user-space co-design • Experience with GPUDirect RDMA, dma-buf, and CUDA/ROCm memory interoperability • Experience with driver packaging and distro enablement for RHEL, SLES, and Ubuntu • Experience with cluster-scale benchmarking, profiling, and optimization

🏖️ Benefícios

• Equity, cash, and incentives • Health, medical, dental, and vision coverage • Disability and life insurance • Dependent care flexible spending account • Accidental injury insurance • Pet insurance • Generous paid holidays • 401(k) with company match • Open Time Off (OTO) for regular full-time exempt employees • Sick time • Bonding leave • Pregnancy disability leave • Flexible work environment • Remote work for employees residing within the United States

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