System Software Engineer
Intel Corporation
San José, Costa Rica
Job posting number: #7264428 (Ref:JR0266442)
Posted: July 19, 2024
Job Description
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 a Full-Stack 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 Cloud Solutions, OS kernel, firmware development, network/graphics, I/O driver development, imaging/media development, machine learning, computer vision and many others.
Qualifications
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.
2+ years of combined experience in any of the below:
- C/C++ programming, data structures, algorithms and Operating Systems.
- SW Testing/Verification experience with the above languages.
- 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.
- Python.
- RTOS Kernels, multi-threading programming, memory and resource management.
- Hardware low-level components such as I/O's, interrupts, network communication protocols.
- FPGA, (System)Verilog/VHDL, OpenCL or RTL Design.
- Cloud Solutions/Infrastructure experience/knowledge (Dockers, Kubernetes, AWS, etc.)
- Machine learning and computer vision.