Kernel Driver Software Engineer

Etched•San Jose, CA

5d•Onsite

About The Position

Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. 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.

Requirements

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).

Nice To Haves

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).

Responsibilities

Kernel-Mode Driver Development: Design, develop, and maintain kernel-mode drivers ensuring high reliability, informative debug, and optimal performance.
Performance Optimization: Analyze and optimize driver performance for demanding AI workloads, focusing on minimizing latency and maximizing throughput.
Hardware Integration and Co-Design: Collaborate closely with hardware engineers throughout the ASIC design process..
Virtualization Support: Implement driver support for device virtualization technologies, including SR-IOV, VFIO, and para-virtualization.
Memory Management: Implement efficient memory management strategies considering kernel memory mapping, page tables configuration, NUMA awareness for device data caching, and IOMMU configuration.
Security: Build kernel drivers fundamentally designed to support and maintain security across host processes, physical memory spaces, and device attestation.
Debugging and Troubleshooting: Diagnose and resolve complex driver-related issues, using common kernel debugging tools and techniques (ftrace, dmesg, etc.) to identify and fix bugs.
Synchronization and Concurrency: Design and implement synchronization mechanisms to handle concurrent access to multiple accelerators.
System Validation and Testing: Develop and execute comprehensive test plans to validate driver functionality, stability, and performance in manufacturing and in general production environments.
Collaboration and Troubleshooting: Collaborate with software and hardware teams to diagnose and resolve complex system-level issues.

Benefits

Full medical, dental, and vision packages, with generous premium coverage
Housing subsidy of $2,000/month for those living within walking distance of the office
Daily lunch and dinner in our office
Relocation support for those moving to West San Jose

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