System Software Engineer
San Jose, CR
hace 5 horas

Job Description

Intel Flex is an embedded consulting unit, with hundreds of professionals with deep domain expertise and emerging skills delivering Software solutions.

We partner with businesses across Intel to accelerate client value. A global organization with presence in Americas, Europe, and Asia.

As an Intel Flex software engineer, you will have opportunity to move between projects in various product groups to gain experience, learning new skills and growing your cross organization professional network while making high-value contributions across the company.

Projects that align with your skills and your areas of growing interest will be prioritized.

The qualified candidate will join Intel Flex Costa Rica as an Experienced System Software Engineer and will have opportunities to participate in a variety of projects as part of product development or research.

The main focus of this position will be on system-level software development, in areas such as OS kernel, firmware development, network / graphics, I / O driver development, imaging / media development, machine learning, and computer vision, FPGA solutions and many others.


You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical / Electronics Engineering or related field with 3+ years of below experience OR a Master's Degree in same areas with 1+ years experience.
  • C / C++ programming, data structures, algorithms and Operating Systems
  • SW Testing / Verification experience
  • Version control and continuous integration tools (GIT, GITHUB, SVN, etc)
  • Advanced English Level
  • Candidate must have unrestricted permanent right to work in Costa Rica
  • Preferred Qualifications

  • Embedded systems, microcontrollers and CPU architecture.
  • RTOS Kernels, multi-threading programming, memory and resource management.
  • Hardware low-level components such as I / O's, interrupts, network communication protocols.
  • Python or Java
  • FPGA, (System)Verilog / VHDL, OpenCL or RTL Design
  • Machine learning and computer vision
  • Cloud Solutions / Infrastructure experience / knowledge (Dockers, Kubernetes, AWS, etc.)
  • Web Application Development and Databases (Angular, JavaScript, Django, SQL, MongoDB, .NET)
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