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Intel AI Software Solutions Engineer - Embedded 
India, Karnataka, Bengaluru 
982831447

22.04.2025
Job Description:

We are seeking a passionate and experienced Embedded Firmware and Driver Engineer to design, develop, and optimize low-level embedded software for Intel's AI accelerators and GPUs. In this role, you will collaborate with a cross-geo team to create world-class embedded software solutions. Your responsibilities will include:

  • Designing, developing, and maintaining bare-metal firmware for ARC-based processors.
  • Creating and managing Boot ROM and Boot loader systems.
  • Developing and maintaining RTOS-based device drivers.
  • Delivering new features requested by Cloud Service Providers.
  • Solving complex technical problems and contributing to innovative solutions.
  • Collaborate with hardware, system, and driver teams for feature definition and end-to-end delivery
Qualifications:

Minimum qualifications:

  • Bachelor's degree in computer science, Electrical Engineering, or a related field with at least 8 years of relevant experience in Embedded Software Design and Development.
  • Proficiency in ARC or other low-power controller architectures.
  • Expertise in C programming and basic understanding of assembly language.
  • Deep understanding of real-time systems, interrupt handling, and RTOS (e.g. Zephyr)
  • Proven experience in writing boot firmware
  • Familiarity with communication protocols such as SPI, I2C, and UART.
  • Excellent analytical and problem-solving skills, with the ability to manage stakeholders and collaborate across geographies.
  • Exceptional written and oral communication skills.
  • Hands-on experience in developing and integrating RTOS based device drivers.

Preferred qualifications:

  • Knowledge of interfaces like I3C, PCIe, CXL, and protocols such as SMBUS/PMBUS and MCTP/PLDM.
  • Experience in pre-silicon emulation, simulation, and FPGA platforms, along with debugging tools like Lauterbach and protocol analyzers.
  • Knowledge in one or more of the following areas: Confidential Computing, UCIe, or HBM technologies.
  • Understanding of DVFS algorithms, AVS, and thermal management strategies
  • Familiarity with secure boot, firmware update mechanisms, and memory management and open-source projects like buildroot-external.
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