Linux device drivers developer QTIMinds Private Limited

4.0 - 8.0 years

0 Lacs

hyderabad, telangana

On-site

As an LDD Developer based in Hyderabad with over 4 years of experience, your primary responsibility will be to work on Linux Kernel development for enabling and supporting Qualcomm Snapdragon Chipsets and products. You will be required to possess excellent knowledge of OS fundamentals, data structures, Linux kernel, and the device driver model. Your proficiency in C programming is expected to be at an expert level. Additionally, specific experience and expertise in any of the kernel subsystems such as core kernel, device drivers, memory, ARM subsystems, etc., will be highly beneficial. Your role will involve utilizing debugging tools like T32, gdb, and conducting crash analysis using tools l...

Posted 1 week ago

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Sr Lead Engineer - Graphical LCD Drivers Qualcomm

1.0 - 5.0 years

0 Lacs

hyderabad, telangana

On-site

Qualcomm India Private Limited is looking for an experienced Embedded Linux Engineer with expertise in Distributions like OpenWRT or Yocto, Linux kernel driver development, specifically in display panel drivers and embedded system integration. The ideal candidate should have practical experience with various kernel subsystems, DRM / FB frameworks, PCIe, and bootloader on UI frameworks (e.g., Qt, Wayland) on embedded devices. Proficiency in bootloaders (e.g., U-Boot), kernel configuration, and initramfs management is essential. In addition to technical skills, this role requires strong problem-solving abilities and the capability to develop tools in Python to support embedded platforms. A pro...

Posted 1 month ago

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Senior Software Engineer, Kernel WEKA

10.0 - 12.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most...

Posted 1 month ago

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