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Software Engineering
181185 Requisition #

As Staff Software Engineer you will be responsible for writing the driver and/or firmware for the Cavium Machine learning acceleration chip. You will be one of the early members of a newly created team working on this chip and will help define the software stack for the accelerator. You will be working closely with the hardware engineering teams and with application software engineers to understand both the hardware and software requirements and implement the driver and/or firmware with those in mind. 



BS +10 years of related experience or MS +8 yrs experience of related experience; degree discipline to be in: Computer Science, Computer Engineering, or Electrical Engineering


  • Strong knowledge of Linux Device Drivers and C Programming is required. Excellent C programming skills 
  • Must have significant hands-on experience with device drivers and/or firmware. 
  • Experience in delivering production drivers and/or firmware. 
  • Familiarity with Linux kernel concepts including networking, memory management and PCI subsystems. 
  • Experience in troubleshooting, performance analysis, and performance optimization for embedded systems 
  • Understanding of CPU architecture 

Other Skills:  

  • Must have effective interpersonal, teamwork, and communication skills.
  •  Excellent communication skills to interface internally and externally with all levels of the organization and to participate in problem solving and quality improvement activities. 
  • Demonstrates good analysis and problem-solving skills. 
  • Has an inherent sense of urgency and accountability. Must demonstrate initiative and a bias for thoughtful action. 
  • Grounded, detail-oriented, always backs up ideas with facts. 
  • Must have the ability to define problems, issues and opportunities, analyze data, establish facts, and draw valid conclusions from various datasets. 
  • Must have the ability to multi-task in a fast paced environment

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

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