Kernal Driver Software Engineer at Etched.ai

Cupertino, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, SemiconductorIndustries

Requirements

Strong understanding of kernel-mode driver development principles
Experience with device virtualization technologies (SR-IOV, VFIO, para-virtualization)
Proficiency in memory management concepts, including kernel memory mapping, page tables, NUMA awareness, and IOMMU configuration
Familiarity with security principles and practices in kernel driver development
Experience with kernel debugging tools (ftrace, dmesg, etc.)
Understanding of synchronization and concurrency mechanisms
Ability to develop and execute comprehensive test plans
Strong problem-solving and troubleshooting skills

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
Memory Management: Implement efficient memory management strategies
Security: Build kernel drivers fundamentally designed to support and maintain security
Debugging and Troubleshooting: Diagnose and resolve complex driver-related issues
Synchronization and Concurrency: Design and implement synchronization mechanisms
System Validation and Testing: Develop and execute comprehensive test plans
Collaboration and Troubleshooting: Collaborate with software and hardware teams to diagnose and resolve complex system-level issues
Develop and optimize kernel-mode drivers for new ML accelerators
Implement and optimize memory management, including kernel memory mapping and IOMMU configurations
Debug and resolve complex driver-related issues impacting ML workload performance
Develop performance benchmarks and profiling tools
Integrate driver support for advanced features like hardware virtualization and security
Optimize PCIe communication between the host and PCIe devices
Implement and debug power management features

Skills

Kernel Driver Development

SR-IOV

VFIO

Para-virtualization

IOMMU

NUMA

Page Tables

Kernel Memory Mapping

ftrace

dmesg

Synchronization

Concurrency

Etched.ai

Develops servers for transformer inference

About Etched.ai

The company specializes in developing powerful servers for transformer inference, utilizing transformer architecture integrated into their chips to achieve highly efficient and advanced technology. The main technologies used in the product are transformer architecture and advanced chip integration.

Cupertino, CA, USAHeadquarters

2022Year Founded

$5.4MTotal Funding

SEEDCompany Stage

HardwareIndustries

11-50Employees