Project Overview:

Intellias Automotive Division is focused on development solutions what will be integrated into US, EU, Japan next generation vehicles. Due to intensive growth Intellias is glad to invite Lead Embedded Engineer to its Automotive Division. The project that you will be involved is focused on development of key components for the Automotive Navigation for EV (electric vehicles) and provides a family of routing algorithms employing heuristics fitting each scenario best: resource constrained embedded vs cloud that could benefit from more resources as well as more information such as real time traffic or precomputed routes, car routing vs truck routing or pedestrian or public transit.

To assure smooth user experience and adapt in real time, the routing engine works closely with the user guidance graphical and voice interfaces, and online traffic information service.

The SDK is in use by world leading automotive brands for many years, so the scope of work is both maintenance as per real world scenarios as well as development for the future of automotive industry: electric cars, autonomous driving, etc.

Technically, the project is C++ cross platform library (primarily targeting Linux) excessively covered with automated tests at multiple levels: unit, map integration, user scenario acceptance.  Cross component integration within the SDK is ensured with mandatory Gerrit peer code reviews and verified with central CI and CD pipelines.

Дар’я Ульянова
  • Participate in product discussions with PO and technical discussions within the client to find the right solution architecture and design;
  • Integrate our solution with other parts of the Navigation SDK and target platform in the way that meets the customer expectations;
  • Profile and optimize resulting C++ code;
  • Performance analysis and benchmarking;
  • Attend team's Agile ceremonies.
  • 6 years of experience with C/C++;
  • 4 tears of experience with embedded development;
  • 2 years of experience with automotive;
  • Experience with Agile(Scrum, Kanban).
Nice to have:
  • Experience with low level performance optimization;
  • Excellent analytical, algorithmic skills;
  • Knowledge of discrete mathematics;
  • ASPICE Process experience.
Higher Education:
  •  Bachelor's or Master’s Degree in Math/Computer sciences.


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