2022-05352 - Open Research & Development Engineer position available at
Inria GRA on Advanced Perception and Control for Autonomous Vehicles
Contract type : Fixed-term contract
Renewable contract : Oui
Level of qualifications required : Graduate degree or equivalent
Fonction : Temporary scientific engineer
About the research centre or Inria department
The Inria Grenoble - Rhône-Alpes research center groups together almost 600
people in 22 research teams and 7 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with
other research and higher education institutions (Université Grenoble Alpes,
CNRS, CEA, INRAE, …), but also with key economic players in the area.
Inria Grenoble - Rhône-Alpes is active in the fields of high-performance
computing, verification and embedded systems, modeling of the environment at
multiple levels, and data science and artificial intelligence. The center is a
top-level scientific institute with an extensive network of international
collaborations in Europe and the rest of the world.
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
A one year (renewable to pluriannual) 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 4 engineers already working
on the project, with occasional interactions with some PhD students, other
engineers 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
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
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
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 French and English skills (written and spoken)
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 and flexible organization of working hours
Professional equipment available (videoconferencing, loan of computer
Social, cultural and sports events and activities
Access to vocational training
Social security coverage
From 2,5652 € (depending on experience and qualifications).
Theme/Domain : Robotics and Smart environments
Software Experimental platforms (BAP E)
Town/city : Montbonnot
Inria Center : CRI Grenoble - Rhône-Alpes
Starting date : 2022-12-01
Duration of contract : 12 months
Deadline to apply : 2022-11-10
Inria Team : CHROMA
Rummelhard Lukas / email@example.com
Inria is the French national research institute dedicated to digital science
and technology. It employs 2,600 people. Its 200 agile project teams,
generally run jointly with academic partners, include more than 3,500
scientists and engineers working to meet the challenges of digital technology,
often at the interface with other disciplines. The Institute also employs
numerous talents in over forty different professions. 900 research support
staff contribute to the preparation and development of scientific and
entrepreneurial projects that have a worldwide impact.
Instruction to apply
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as
defined in Decree No. 2011-1425 relating to the protection of national
scientific and technical potential (PPST).Authorisation to enter an area is
granted by the director of the unit, following a favourable Ministerial
decision, as defined in the decree of 3 July 2012 relating to the PPST. An
unfavourable Ministerial decision in respect of a position situated in a ZRR
would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people
Warning : you must enter your e-mail address in order to save your
application to Inria. Applications must be submitted online on the Inria
website. Processing of applications sent from other channels is not