Production Software Engineer for Algo Objects
Summary
Integration/production software engineer in Mobileye's Object Detection group, keeping the team's algorithm codebase healthy: building automated CI validation flows, managing the main repository, resolving integration issues, and debugging real-time code. Core stack is C++ and Python on Linux, with Git/GitLab CI automation.
The object Detection Group in Mobileye's Algorithmic Development department is responsible for the backbone of the company's core business: identifying vehicles, pedestrians, animals and other objects and obstacles on and in the vicinity of the road, and extracting physical, kinemtic and semantic information about them from a video stream - all in real time.
Developers in the group work with state of the art image processing and DNN algorithms, providing solutions for internal and external costumers.
The crossroad where ever-evolving software infrastructure meets the variety of the developed algorithmic modules is where the integrator comes in.
What will your job look like:
- Develop and maintain automated CI validation flows, implementing and coordinating cross-platform unit, regression and integration tests.
- Integrate developments into centralized branches, documenting developments and versions.
- Oversee version validation, assign issues to owners, coordinate the resolution of code conflicts.
- Build manage, supervise and maintain the main repository of Mobileye's Object Sensing Algorithm team in the R&D department.
- Debug Real-Time oriented code, meeting high standards of memory and running-time requirements.
- Develop, maintain and support automatic solutions for seamless integration and validation workflows.
- Develop in C++ and Python in Linux environment.
All you need is:
- B.Sc. in Computer Science/Software Engineering with an outstanding academic record.
- At least 2 years of relevant software development experience.
- Hands-on experience with C/C++ and Python – Must.
- Ability to work independently, manage multiple tasks, and quickly learn new technologies.
- Strong code analysis skills, with a focus on functionality and efficiency.
- Excellent communication and coordination skills.
Advantages:
- Hands-on experience with Git/GitLab and CI automation – significant advantage.
- Experience working with LLMs – significant advantage.
- Experience in a Linux environment.
Skills
As published by lever · 3 questions
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL
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Attachments (1)
- Please submit your B.Sc. grade sheet