Software Engineer Graduate Trainee
Intel Flex is an Embedded Consulting Unit that works across different business units, functional groups, and product teams to deliver high-impact results to Intel through software engineering services, solution development, organization transformation, project/program management, and outsourcing management. Our mission is to make it easier to move faster on the things that matter most to Intel.
The software engineering team at Intel Flex works on software development across multiple software stack layers, including firmware, drivers, operating systems, middleware, frameworks, algorithms, and applications/UI for Intel's product/platform or a particular market segment. This provides candidates with a diverse range of projects that span various product groups. Such exposure will enable candidates to build meaningful connections with professionals throughout the organization while gaining invaluable experience.
At Intel Flex, the Software Engineer Graduate Trainees are responsible for various technical tasks, which may vary depending on the job's requirements. Candidates must possess strong programming and communication skills. In addition, candidates should be flexible, innovative, committed and willing to learn. Intel Flex management team will work with candidates to prioritize tasks that align with their competencies and interests, ensuring that they have the chance to grow, learn, and make a valuable contribution to the organization.
Bachelor's OR Master's degree in Computer Science, Computer Engineering, Electronics Electrical Engineering or Software Engineering.
Good programming skills in one of the popular programming languages, like C, C++, Python, Golang.
Technology expertise on some of the following: SW frameworks and libraries, compilers, debuggers and profiles, embedded, microcontrollers, firmware, drivers, kernel or deep learning frameworks.
Experience or coursework in:
Embedded systems, microcontrollers, CPU architecture. Demonstrated work experience in system software engineering.
Linux Kernel, Device Drivers, RTOS, Open Source, Embedded software development.
Low-level Virtual Platforms for hardware/software simulation.
Other programming languages such as: C Sharp, Java, Bash, assembly.
Cloud Native / Software containerization (Docker, Kubernetes, etc.).
AI/Machine Learning Frameworks: OpenVino.
Parallel/Graphics Compute development.
FPGA, Verilog, OpenCL or RTL Design.
Version control and continuous integration tools