2020-02841 - Open Research & Development Engineer position available at Inria GRA on Advanced Perception and Control for Autonomous Vehicles
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Contrat renouvelable : Oui

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

A propos du centre ou de la direction fonctionnelle

Grenoble Rhône-Alpes Research Center groups together a few less than 800 people in 39 research teams and 8 research support departments.

Staff is localized on 5 campuses in Grenoble and Lyon, in close collaboration with labs, research and higher education institutions in Grenoble and Lyon, but also with the economic players in these areas.

Present in the fields of software, high-performance computing, Internet of things, image and data, but also simulation in oceanography and biology, it participates at the best level of international scientific achievements and collaborations in both Europe and the rest of the world.

Contexte et atouts du poste

The Inria research team Chroma is involved in several academic and industrial projects in the field of Autonomous Vehicles. The proposed R&D work has to be performed in the scope of a multi-annual project of the French IRT Nanoelec, in cooperation with the CEA and several industrial companies such as Renault or Toyota. The main objective is to develop, to experimentally validate and to demonstrate the capabilities of an Embedded Perception and Decision-making system in the context of Mobile Robotics and Autonomous Vehicles applications. Several well published and patented results have already been obtained in the scope of this project. Exploitation licenses of the current version of the software CMCDOT have already been sold to industrial companies, see illustration video at medihal-01963296v1

Mission confiée

A one year (renewable) Research & Development Engineer position is available at Inria Grenoble Rhône-Alpes, in the scope of the above-mentioned project. The current objective of the project is to further develop and expand our embedded perception and navigation system for autonomous mobile vehicles, with an emphasis on real world experiments performed using an automated Renault Zoé vehicle and some other industrial mobile robots. Different evolutions are to be developed, such as new capabilities for reasoning at the semantic level, by combining the current Dynamic Occupancy Grid approaches with Deep Learning approaches, or hardware-specific adaptations for new embedded device architecture.

The recruited engineer will work within a team of 3 to 4 engineers already working on the project, with occasional interactions with some PhD students and researchers of the Chroma team. He will have to complete the current skills of the team, by bringing complementary skills in one of the following fields: perception, control, on-line trajectory planning for safe navigation in dynamic environments, learning semantic information using deep learning approaches or parallel computing development (GPU, FPGA).

Most implementations and the experimentations will be performed using the ROS framework, Nvidia GPUs and the experimental platform of the IRT nanoelec (which includes an automated Renault Zoé vehicle). The recruited engineer will also contribute to the improvement of the experimental platform, and he will participate to some scientific publications, industrial conferences or various demonstrations.

Principales activités

According to the profile, the activities of the recruited engineer will consist on some of the following :

  • Develop perception software on embedded parallel architectures (Nvidia Jetson, FPGA).
  • Develop experimental platforms, test and integrate new sensors.
  • Propose and develop new semantic detection methods, and their integration in the current framework.
  • Write documentation, reports, and participate in scientific paper writting.
  • Run tests using simulation tools and experimental plateforms.
  • Participate in presentations and demonstrations with the automated vehicle in industrial or research events.


- Engineer with R&D experience or PhD in Computer Science, Robotics or closely related fields.

- Good theoretical and practical background in one of the following domains: Robotics, Multi-sensors Perception, Scene Understanding, Parallel computing, Deep Learning and/or Decision-making for safe navigation.

- Good skills in C/C++.


The following qualifications would be an advantage:

- Experience using the Robotics library ROS

- Familiarity with CUDA and Boost libraries, or FPGAs

- Good skills in Linux, system management, python.

- Theoretical knowledge of Bayesian models

- Experience on Deep Learning

- Ability to work as a teammate with other researchers

- Reasonable English skills (written and spoken)


  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage


From 2,562 € (depending on experience and qualifications).