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Engineer Kernel Debugging Jobs (NOW HIRING)

Etched

Kernel Driver Software Engineer

San Jose, CA · On-site

$150K - $275K/yr

Debug and resolve complex driver-related issues impacting ML workload performance. * Develop ... Strong understanding of kernel-mode driver development and debugging. * Deep understanding of ...

Quadric Inc.

AI Kernel Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Role The AI Kernel Engineer in Quadric plays the key role to enable a large number of AI kernels ... Demonstrate good capability in problem solving, debug and communication At Quadric, we value ...

Etched

Kernel Driver Software Engineer

San Jose, CA · On-site

$150K - $275K/yr

Debug and resolve complex driver-related issues impacting ML workload performance. * Develop ... Strong understanding of kernel-mode driver development and debugging. * Deep understanding of ...

Etched

Applied AI Engineer, Kernel Performance

San Jose, CA · On-site

$150K - $225K/yr

... on kernel engineering. Future performance breakthroughs will come from AI systems that can ... Comfort with both Python and low-level code: you can read it, modify it, debug it, and direct AI to ...

Etched

Applied AI Engineer, Kernel Performance

San Jose, CA · On-site

$150K - $225K/yr

... on kernel engineering. Future performance breakthroughs will come from AI systems that can ... Comfort with both Python and low-level code: you can read it, modify it, debug it, and direct AI to ...

Voktio

Senior Linux/SDET Engineer

Cambridge, MA · On-site

$161K - $225K/yr

Perform kernel debugging, performance testing, and system validation. * Mentor engineers and establish quality standards. Requirements * 12+ years of relevant experience. * Strong C. * Python / Shell ...

Yantran LLC

Windows Kernal Driver

Redmond, WA · On-site

... Engineer Location: Redmond, WA Onsite/Remote: Day 1 Onsite at customer location Best fit signals to look for on resumes: Experience with kernel mode driver work (WDM/KMDF), debugging, dumps, and lab ...

Cylake Inc.

Windows System Software Engineer

Sunnyvale, CA · On-site

$150K - $250K/yr

Build reliable user/kernel communication mechanisms. * Debug complex concurrency, synchronization ... Endpoint & Security Engineering * Design telemetry systems that power endpoint detection and ...

Yantran LLC

Windows Kernal Driver

Bellevue, WA · On-site

Windows Kernal Driver Engineer role Best fit signals to look for on resumes: Experience with kernel mode driver work (WDM/KMDF), debugging, dumps, and lab bring up Device interaction debugging across ...

Elliot Partnership

Senior Linux Engineer

New York, NY · On-site

* Senior Linux Systems Engineer - (Kernel & Performance) * New York, NY (Hybrid, 3 days in office ... Develop, debug, and maintain low-level systems software, potentially including kernel modules, eBPF ...

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Kernel Driver Software Engineer

San Jose, CA • On-site

Etched
See more jobs at Etchedexternal

$150K - $275K/yr

Full-time

Medical, Dental, Vision

Re-posted 16 hours ago

Job description

About Etched
Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.
Key Responsibilities
  • Design, develop, and maintain kernel-mode drivers ensuring high reliability, informative debug, and optimal performance.
  • Analyze and optimize driver performance for demanding AI workloads, focusing on minimizing latency and maximizing throughput.
  • Collaborate closely with hardware engineers throughout the ASIC design process..
  • Implement driver support for device virtualization technologies, including SR-IOV, VFIO, and para-virtualization.
  • Implement efficient memory management strategies considering kernel memory mapping, page tables configuration, NUMA awareness for device data caching, and IOMMU configuration.
  • Build kernel drivers fundamentally designed to support and maintain security across host processes, physical memory spaces, and device attestation.
  • Diagnose and resolve complex driver-related issues, using common kernel debugging tools and techniques (ftrace, dmesg, etc.) to identify and fix bugs.
  • Design and implement synchronization mechanisms to handle concurrent access to multiple accelerators.
  • Develop and execute comprehensive test plans to validate driver functionality, stability, and performance in manufacturing and in general production environments.
  • Collaborate with software and hardware teams to diagnose and resolve complex system-level issues.

Representative Projects
  • Develop and optimize kernel-mode drivers for new ML accelerators.
  • Implement and optimize memory management, including kernel memory mapping and IOMMU configurations, for high-bandwidth data transfers.
  • Debug and resolve complex driver-related issues impacting ML workload performance.
  • Develop performance benchmarks and profiling tools to analyze driver performance.
  • Integrate driver support for advanced features like hardware virtualization and security, including SR-IOV and VFIO.
  • Optimizing PCIe communication between the host and PCIe devices, using advanced equipment like PCIe analyzers.
  • Implement and debug power management features for PCIe devices.
  • Integrating ML accelerators into containerized and virtualized environments.
  • Implementing and optimizing para-virtualization techniques for PCIe devices.
  • Configure and optimize page tables for efficient memory access from the ML accelerator.
  • Participate in hardware-software co-design reviews across teams to optimize performance and power efficiency.

You may be a good fit if you have
  • Proficiency in C/C++.
  • Strong understanding of kernel-mode driver development and debugging.
  • Deep understanding of operating system internals (Linux preferred).
  • Experience with hardware/software interfacing and device drivers.
  • Experience with memory management and synchronization in kernel environments.
  • Strong understanding of PCIe and other hardware interfaces.
  • Experience with device virtualization technologies, including SR-IOV and VFIO.
  • Strong understanding of kernel memory mapping, page table configuration, and IOMMU.
  • Familiarity with hardware-software co-design principles.
  • Proven ability to analyze complex technical problems and provide effective solutions.
  • Excellent communication and collaboration 1 skills.
  • Experience with version control systems (e.g., Git).
  • Experience with debugging tools (e.g., gdb, kgdb).

Strong candidates may also have experience with (Nice-to-have qualifications)
  • Candidates with experience in developing and debugging kernel-mode drivers for GPU or other accelerator devices.
  • Candidates with a strong understanding of hardware/software interactions.
  • Candidates with experience in optimizing driver performance for demanding workloads.
  • Candidates with experience in ML workloads.
  • Candidates who have debugged complex hardware and software interactions, especially in virtualized environments.
  • Candidates with experience in implementing and optimizing SR-IOV and VFIO.
  • Candidates with in-depth knowledge of kernel memory mapping, page tables, and IOMMU.
  • Candidates with experience in hardware-software co-design projects.
  • Experience with GPU driver development.
  • Experience with CUDA, OpenCL, or other GPU programming models.
  • Experience with performance profiling and benchmarking tools (perf, VTune).
  • Knowledge of hardware virtualization techniques, including para-virtualization.
  • Experience with CI/CD pipelines.
  • Experience with Rust.
  • Experience with ML frameworks like Tensorflow or Pytorch.
  • Experience with data center orchestration technologies (Kubernetes, Docker).

Benefits
  • Medical, dental, and vision packages with generous premium coverage
    • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2k per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in our office
  • Unlimited compute budget subject to ROI justification

How we're different
Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.
We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Apply