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NIC Kernel Driver Managing Engineer

🕒 vor 20 Tagen

🗽 New York – Remote

infoinfo

⏰ Vollzeit

🟠 Senior

🔴 Experte

👷🏻‍♀️ Ingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Cornelis Networks

51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

🔧 Hardware

🏢 Unternehmen

💰 €29.000.000 Series B im 2022-11

Artificial Intelligence • Hardware • Enterprise

Cornelis Networks ist ein fßhrender Anbieter intelligenter, skalierbarer High-Performance-Interconnects, die fßr KI-Anwendungen entwickelt wurden. Das Unternehmen ist darauf spezialisiert, durchgängige, speziell entwickelte High-Performance-Fabrics fßr kommerzielle, wissenschaftliche, akademische und staatliche Organisationen bereitzustellen. Die LÜsungen von Cornelis Networks zielen darauf ab, Leistung, Skalierbarkeit und Effizienz in Hyperscale-, Cloud-AI- und On-Premises-AI/HPC-Umgebungen zu steigern. Die Angebote sind bekannt fßr skalierbare Architekturen, LÜsungen mit hoher Bandbreite sowie universelle Kompatibilität mit Beschleunigern und GPUs. Entstanden als Intel-Spin-off ist das Unternehmen bestens positioniert, bestehende Technologien wie InfiniBand und Ethernet herauszufordern und fortschrittliche Interconnects bereitzustellen, die moderne KI-Infrastrukturen antreiben.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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