Sr. System and Software Integration Engineer
The Next Generation and Systems (NGS) group within Intel's Corporate Strategy Office is seeking a Senior System and Software Integration Engineer responsible for the integration of advanced technology components. The successful candidate will work with a small, innovative, multi-disciplinary team working on key innovation programs for the next generation of technologies, converging on Networking, AI, Edge Computing, Wi-Fi and 5G+ wireless, compute, data and communications, and associated vertical markets.
As a Sr. System and Software Integration Engineer, your responsibilities will include but are not limited to:
Multidisciplinary research and collaborate with AI/ML research engineers, network simulation engineers, SW and solution architects engineers in the design, development, and integration of advanced network simulation, prediction and control and management software.
Software and system level integration of advanced technology components including AI/Machine Learning algorithms, network simulation models, network interfaces and Linux middleware and applications, and ensure functionality and performance of overall software stack and software system solution.
Create software solutions and implementations while contributing to software designs, algorithms, and interface specifications.
Analysis of system and software requirements.
Development of testable software components.
Integrating software components under a Devops and MLOPs development framework
The ideal candidate should exhibit the following behavioral traits:
Communications and interpersonal skills.
Analytical, troubleshooting and problem-solving skills.
Highly self-motivated with focused on learning in a dynamic environment.
You must possess the 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.
Bachelor's degree in a Software Engineering or related field with 6+ years of experience or Master degree in a Software Engineering or related field with 4+ years of experience.
Experience should be in the following:
Software integration of AI, machine learning components.
CI/CD (Continuous Integration/Delivery).
Wireless and/or wired networking APIs.
Scripting language (Python or C++).
Experienced with Devops and MLOps systems.
Kubernetes, Docker, Kubeflow.
Familiarity with AI/ML, wired/wireless networking, autonomous robots, vehicles.
In-depth knowledge in one of the fore mentioned domains.
Linux environment experience.