Kernel Jobs in San Diego
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Search Results - Kernel Jobs in San Diego
Jobs-San Diego
What you will bring:
Bachelors degree in Computer Science or related engineering field
10+ years of Microsoft Windows software development experience
5+ years of experience with Windows device driver development (including kernel-mode, and Windows...
jobvertise.com -
Black Diamond Networks-San Diego
Microsemi, Microchip, Vorago).
• Develop software for ARM Cortex and RISC-V processor architectures.
• Implement C/C++ code for embedded Linux, Linux networking, and real-time operating systems (RTOS).
• Configure and customize Linux kernel, system settings...
Jobs-San Diego
Required Skills
• Bitbucket, C/C++, Embedded, Ethernet, Git, I2C, Jira, kernel, mbedded real-time systems, Object Oriented Programming, PCIe, Petalinux, PowerPC, RTOS, SPI, UART, Ultrascale+, VERSAL, Vitis, Vivado, Xilinx, Yocto, Zynq
Location
• San...
jobvertise.com -
Qualcomm-San Diego
with GPU hardware
• Test planning and methodologies to expose low level problems
• Debug tools including JTAG and kernel debuggers
• GPU and SoC architectures
• GPU APIs (Direct3D/OpenGL/OpenCL)
• Understanding of power, performance and thermal on silicon...
Boeing-San Diego
one of us made it happen.
You will lead the bring:up of avionics hardware into Linux. This includes owning the board support package (BSP), custom kernel work, device trees, bootloaders, and the low:level drivers that expose our hardware to the OS...
tiptopjob.com -
AUSGAR Technologies Inc.-San Diego
design and test (C preferred).
o FPGA firmware design and test (VHDL preferred).
o Embedded digital signal processing (DSP). o Linux kernel device driver development. o Fiber-optics hardware design and test. • Experience with battery assembly, welding...
TalentPro Consulting-San Diego
Vivado)
Familiarity with HAIPE, OTNK, and/or IKE
Familiarity with latest NSA Security Standards
Familiarity with Linux kernel driver development/modifications
Familiarity with assembly language
Familiarity with bare metal embedded device drivers...
jobvertise.com -
Qualcomm-San Diego
Platforms experience including low-level drivers and firmware, kernel, and user-space components.
• Design and development of software for heterogeneous compute platforms consisting of ARM or RISC-V CPUs and specialized hardware accelerators in an embedded...
Qualcomm-San Diego
Proficient writing and debugging C and assembly
• Driver development experience in RTOS or OS Kernel environments
• Demonstrated development experience with embedded OSes such as Zephyr, eCos, uC/OS or FreeRTOS
• Experience developing for pre-silicon...
Qualcomm-San Diego
and optimize models.
• Map and tune models across heterogeneous compute (DSP/NPU/GPU), including operator placement and kernel selection.
• Perform detailed performance profiling and analyze memory, tiling, and scheduling behavior.
• Collaborate...
Qualcomm-San Diego
Platforms experience including low-level drivers and firmware, kernel, and user-space components.
• Design and development of software for heterogeneous compute platforms consisting of ARM or RISC-V CPUs and specialized hardware accelerators in an embedded...
Qualcomm-San Diego
of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
• Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities...
Qualcomm-San Diego
solutions.
• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design...
Qualcomm-San Diego
experience in development, debugging, and optimization of CUDA and OpenCL kernels, as well as GPU compute shaders.
• Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs).
• Experience...
Qualcomm-San Diego
the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
• Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new...
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