C++ SOFTWARE DEVELOPERS (M/F) – AUTOMOTIVE (TURIN-ITALY)

.objective is an owner-managed IT company that offers advanced solutions for automotive, autonomous vehicles, high-accuracy positioning as well as innovative mobility and smart city applications for already 20 years. We are committed to effective and prompt action, clear targets and a visionary approach. We achieve this through the will and the creativity of our employees combined with excellent team spirit and organisation. As autonomous driving, connected mobility, and smart cities are increasingly becoming an everyday reality, we at .objective have decided to become experts in the field. With several locations in Germany, Poland, Italy and Luxembourg, we are capable of handling projects for an impressive list of business partners, ranging from the BMW Group, Trend Micro, Ericsson, Bosch, and Vodafone to Deutsche Telekom and many more. Our software runs on millions of vehicles worldwide!

For several projects in the area of research & development and production we are currently looking for junior / senior C++ software developers (m/f). Our clients: renowned companies in the Automotive Industry.

YOUR TASK

You implement challenging features in projects with the following focus:

  • .Autonomous and connected driving
  • .Sensors / sensor-Fusion (LIDAR, US, Camera, IR, Radar)
  • .Digital maps / HD maps / pointclouds (PCL)
  • .Image processing (algorithms, computer vision, objects Detection)
  • .Machine learning / AI
  • .High-accuracy positioning / navigation / trajectory planning

REQUIREMENTS
  • .Interested in software development in automotive
  • .C++ enthusiast, especially OOP!
  • .Know-how in at least one of the above mentioned fields, relevant work experience is required for senior level positions
Following skills & experience is an asset:
  • .Experience in complex software development projects and knowledge on the whole development cycle (requirements analysis, design, implementation, test)
  • .Additional programming languages (e.g. Java, C#, Python)
  • .Experience in automotive (bus systems, Autosar)
WE OFFER

COUNTRY MANAGER ITALY
Marco Bottero
marco.bottero@objective.de
  • .Flat hierarchy, startup feeling - your ideas count!
  • .Become part of a motivated & international team of experts
  • .Challenging projects in a dynamic company with focus on R&D
  • .Company events, incentives & room for growth
  • .Permanent position with open-ended contract or work as a freelancer
LOCATION

Turin

START

November 2018 (later start possible)

.CONTACT US
Did we spark your interest? In that case, we are looking forward to your detailed application including cover letter, diplomas, certificates, desired salary and earliest possible starting date. Please apply via Bewerber-Managagement-System or via E-Mail.

We process your application using Prescreen, an e-recruiting platform that has a proven high standard of data privacy.
If you do not find your profile in our job advertisements, we are looking forward to receiving your unsolicited application.

ROS engineer – Robotics expert for Autonomous Driving (M/F)

.objective is an owner-managed IT company that offers advanced solutions for automotive, autonomous vehicles, high-accuracy positioning as well as innovative mobility and smart city applications for already 20 years. We are committed to effective and prompt action, clear targets and a visionary approach. We achieve this through the will and the creativity of our employees combined with excellent team spirit and organisation. As autonomous driving, connected mobility, and smart cities are increasingly becoming an everyday reality, we at .objective have decided to become experts in the field. With several locations in Germany, Poland, Italy and Luxembourg, we are capable of handling projects for an impressive list of business partners, ranging from the BMW Group, Trend Micro, Ericsson, Bosch, and Vodafone to Deutsche Telekom and many more. Our software runs on millions of vehicles worldwide!

We are always looking for excellent engineers and software developers for projects in the automotive area in and around Munich. Our client is a renowned premium car manufacturer. We are looking for ROS (Robot Operating System) Engineers with experience in C++ and interest in driver assistance systems and autonomous driving.

YOUR TASK

You will create ROS models, nodes and filters for vehicle features (mainly driver assistance systems / highly automated driving) according to customer specifications and scenarios definitions, based on different sensor data (Sensor-Fusion). You support algorithm developers working in the R&D, pre-production and production department of our client.

REQUIREMENTS
  • .Degree in computer science, telecommunications, robotics, electrical engineering with a relevant thesis topic
  • .Very good ROS know-how
  • .Enthusiasm for the automotive industry and ideally experience at car manufacturers
  • .Skilled in C++, especially OOP!!
  • .Know-How in sensors (ultrasound, infrared, LIDAR, Radar etc.), image processing, HD maps, localisation/positioning or simulation
Following skills & experience is an asset:
  • .Knowledge in Autosar and bus systems in vehicles (CAN, LIN, MOST, Flexray)
  • .Experience in unit tests, continuous integration, SCRUM, C++ 11
WE OFFER

HR MANAGEMENT
Christian Synowiec
089 / 710 501 42
  • .Flat hierarchy, startup feeling - your ideas count!
  • .Become part of a motivated & international team of experts
  • .Challenging projects in a dynamic company with focus on R&D
  • .Timetable flexibility & remote working
  • .Company events, incentives & room for growth
  • .Permanent/open-ended position
LOCATION

Turin, Munich, Wroclaw

START

November 2018

.CONTACT US
This application does not fit your profile? You cannot find another job offer meeting your expectations? Please send your application, consisting of cover letter, CV, diplomas, reference letters, salary expectations and your earliest possible starting date to this address: jobs@objective.de. We will be happy to review your application and get in touch to explore new cooperation possibilities.

Teleoperated driving

Team: 10 people;
Start: November 2016;
Duration: ongoing;
Technologies: C++, ROS, D-Space, Matlab-Simulink, ADTF;

Curiosity: Internal product-oriented R&D project that aims to explore current business areas for .objective. Close collaboration with universities in Europe has been initiated for this purpose.

The development of fully autonomous cars is well on the way, but it will be at least 10 years before commercial autonomous cars run on public roads, so a solution is required for the transition phase. One useful approach is teleoperated driving: this offers the opportunity to involve human beings with their knowledge, experience and creativity whenever required. Objective is now working on a solution that can be installed both in series production and on an after-market basis. It is composed of two main components: the on-board platform and the remote control station. The onboard platform interacts with the vehicle collecting sensor data and inputting commands from the remote driver. It has read and write access to the CAN-BUS and it acts as a central gateway, securing interaction between the vehicle internal networks and the remote station while also protecting the system from external intrusions. The onboard system is also able to locally process sensor data to reconstruct the model of the surrounding environment in order to deliver only the information needed to the control station, thus avoiding communication overload. The control station includes a processing unit that receives data sent from the on-board platform and predicts the behaviour of the vehicle and its neighbours in the next few moments. It also includes an HMI for the interaction of the remote driver with the system. Connection to the vehicle is obtained via cellular communication by means of a server that could physically reside at the remote station or somewhere else, depending on the use case.

Read more here:
- Teleoperated Driving: A paradigm shift in automotive
- Teleoperated Driving secured by Trend Micro: .objective Software presents products in exclusive event
- Vodafone Innovation Days honor .objective Software with Well-Done-Award
- New teleoperated vehicle presented by .objective Software

Parking Monitor

First Launch: May 2016
Tech Expert: A. Dratva - alexander.dratva@objective.de

Problems solved: according to several studies, in some scenarios the disruption of the traffic flow produced by vehicles looking for a parking reaches 30% of the total. To clear this hurdle, connected vehicles are just a part of the solution. Our Parking Scanner uses a consolidated technology in automotive and transfers it into infrastructure monitoring, defining in this way a new paradigm in terms of accuracy, reliability, operational costs.

Our Parking Scanner makes use of LiDAR technology to create a detailed map of the parking area, defined as a point cloud covering more than 2.500 square metres. Then, our algorithms are able to extract information concerning available parking spots, continuously updating the parking pattern and making forecasts concerning the availability of parking places over time.

The benefits of this technology are related to the total operational costs of the system, which can cover hundreds of parking spaces with a single sensing system, to the accuracy in the detection characterised by the absence of drift (typical of multi-point controlling systems) and by the possibility to integrated our Park finder app, giving real-time forecasts and route guidance based on current parking patterns.



Would you like to find your parking space faster? Just drop us a line! We're happy to help.

NEW .OBJECTIVE PRECISE POSITIONING TECHNOLOGY: TEST PASSED!

Precise positioning is a key technology of the autonomous driving ecosystem. The HIGHTS project is about improving the accuracy of vehicle geolocation by means of a resilient and flexible Geolocation engine able to guarantee a superior level of confidence in all working conditions. The Geolocation Engine is based on diverse technologies such as GNSS, vehicle data analytics, ranging, cooperative positioning and local dynamic maps.
 
The tests, held at the .objective headquarters in Munich, involved the .objective R&D vehicle and a second one equipped with the HIGHTS positioning technology. The vehicles estimate the trajectory via on-board sensors, match the detected environmental features with those reported in the HD Maps, exchange CAM messages via C2X and ultimately report position, accuracy parameters and many other information used by the positioning engine. After this successful test session, .objective will finalize the vehicle platform by tuning antennas and calibrating on-board sensors, in order to meet the hi-precision requirements.
 
Looking forward to the test drive in Helmond, at the TASS international testing facility!

Car Access Gateway

First Launch: September 2016
Tech Expert: W. Münst - wolfgang.muenst@objective.de

Problems solved:In the automotive domain it is sometimes difficult to prototype new solutions, due to many constraints related to safety, security, management of IP rights and, somatimes, the distance between scientific and applied research. Our Car Access Gateway provides an answer to the needs of the R&D community involved with design, development and testing of in-vehicle software and hardware components.

The car access gateway provides plug-and-play communication and access to or information about manufacturer-specific codes, extensive, customizable access to live and recorded data and offer advanced troubleshooting information. Connection to back-end systems may be realised either via Bluetooth, Wi-Fi, or USB.
We decided to put all our expertise in a product able to address several categories of customers, and several kinds of budget. Basic features are available just by using the standard SAE J1962 connector, while more advance applications, including those enabling connected driving use cases, are available with the most advanced versions.

Want to give a change to your habits in embedded development? Contact us!

Vehicle Security Module

First Launch: March 2017
Tech Expert: W. Münst - wolfgang.muenst@objective.de

Problems solved: Mainstream videos show hackers remotely hijacking cars and endangering occupants. Anticipating market trends and addressing the needs of our premium customers, .objective has launched a new program for the development of cyber-security solutions for autonomous and connected vehicles in spring 2017.

Our Vehicle Cyber Security Module guarantees security for new generations of cars and trucks, protecting communication, sensors, actuators, micro-controllers and ultimately the people inside. Our first achievement was the implementation of a Hardware Security Module, providing fundamental cyber security features such as car access management, cryptography and authentication.

Would you like to find out more? If so, simply go to the contact page!

Smart Road Scanner

First Launch: October 2015
Tech Expert: A. Dratva - alexander.dratva@objective.de

Problems solved: autonomous vehicles and the next generation of ADAS will require a huge amount of map data to ensure safe, smooth and comfortable journeys. Collecting this information and keeping the dataset up-to-date may have enormous costs, which are now one of the main hurdles to be cleared for the massive introduction of autonomous driving features. Our Smart Road Scanner makes this task cheap, fast, and reliable.

Autonomous driving requires an enormous set of tools and technologies to be realised. A lot has been done, but there is still a long way to go. The availability of update HD maps is without doubt one of the key enablers here. At .objective we have developed a technology for quick reconstruction of 3D HD maps using the information from a single high-precision laser scanner mounted on the rooftop of our research vehicle. All this is done while driving at speeds of up to 70 km/h, which makes the operation fast and convenient.

.objective works on autonomous driving map reconstruction based on high-precision laser scanners, Global Positioning System and Inertial Navigation Systems and our efficient SLAM+ algorithm. In combination these tools allow the positioning and orientation of the footprint of a laser beam as it hits an object, to a high degree of accuracy. MAP3 not only generates 3D maps but also recognises and classifies objects to populate digital maps, supporting road automation at all levels.

Would you like to find out more? If so, simply go to the contact page!