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AI Software Solutions Engineer (Embedded)

班加羅爾, 卡纳塔克邦, 印度 职位 ID JR0265998 职位类别 Software Engineering 工作模式 Hybrid 经验级别 Experienced 工时类型 全职
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Job Description


We are looking for a passionate 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 work on cutting edge technologies, with a cross-geo team to design and develop top class embedded software. � Design, develop and maintain bare metal firmware for ARC based processors � Design, develop and maintain BootROM and Boot loaders � Design, develop and maintain RTOS based device drivers � Deliver new features requested by Cloud Service Providers � Solve complex technical problems

Qualifications


  • BTech/MTech with at least 2 - 6 years of relevant experience in system software design and development on Linux based OSes.
  • Candidate must have strong expertise in Software and firmware development, embedded architecture, external API interfaces, code review and maintenance (C/C++), unit and verification.
  • Candidate must have experience in low-level programming, operating systems and hands-on system level debug.
  • Strong knowledge in low level programming, system architecture, operating systems, device architecture and design.
  • Solid programming skills in C, C++Strong Software and firmware design, development, debug skills and possess the ability to multi-task in a fast-paced environment.
  • Knowledge about interfaces like SPI, I3C, PCIe, CXL and protocols like SMBUS/PMBUS and MCTP/PLDM.
  • Experience in pre-silicon emulation, simulation and FPGA platforms and debugging tools like Lauterbach, protocol analyzers.
  • Experience in secure firmware development and open-source projects like build root-external.
  • Very good analytical and problem-solving skills, stakeholder management and cross-geo collaboration skills. Excellent written and oral communication skills and be able to clearly communicate concepts to peers and stake holders.

Inside this Business Group


The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.


Posting Statement


All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.


It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

Working Model


This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
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