Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Company Overview
Headquartered in Tuam, Co. Galway, Valeo Vision Systems VVS is the world leader in providing advanced driver-assistance and automated parking systems. The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms intrinsically designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle's environment via advanced sensor fusion. The department apply state of the art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & mapping, and machine & deep learning. The team specialise in redefining state-of-the-art computer vision and delivering next-generation advanced driver-assistance and automated driving systems for leading European, American and Asian OEMs.
Position Overview
As a deep learning engineer, you will be responsible for the development of deep learning solutions enabling the next generation Automated Driving Platforms. Deep learning will be applied to classify all objects, road markings and surfaces in the vehicle environment. You will be responsible for the development of state of the art DL algorithms providing unprecedented scene understanding. You will be expected to remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive.
Responsibilities
- Perform state-of-the-art research into deep learning approaches, methodologies and tools.
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Work with data engineers and analysts to ensure optimal data acquisition, data integrity and data pipelines
- Support in definition of test and validation strategy
- Design, develop, train, and optimize Deep Neural Networks with a view to deploying on embedded platforms.
- Perform statistical analysis and fine-tuning using test results
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
- Contribute to design reviews across algorithm teams.
- Represent VVS at various Industry Working Groups and at Conferences where directed.
- Support the design and implementation of in-company training sessions in your area of expertise.
- Develop and maintain a relationship with university counterparts.
Qualifications - External
Required Skills/Experience
- BSc degree and 2+ years of work experience, or MSc degree and 1+ years of work experience, or PhD in any area with a focus on deep learning.
- Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning.
- Excellent English language communication skills, both written and verbal.
- High level of innovation and motivation .
Desired Attributes
- Specialisation in Machine Learning preferred.
- Applied Deep Learning work experience preferred.
- Academic publications in relevant field
- Understanding of data structures, data modeling and software architecture
- Proficiency with Python, machine learning frameworks (Keras or PyTorch) and libraries (like scikit-learn)
- Proficiency with OpenCV
- Familiarity with Linux
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- Experience with parallel programming in CUDA, or OpenCL
- Algorithm development experience in robotics, sensor fusion, computer vision or applicable field
- Knowledge of UML design tools
- Experience developing software for embedded platforms.
- Experience with version control software
- Experience developing algorithms for autonomous and/or real-time systems.
- Experience with imaging or optics systems.
- Automotive industry experience.
Job:
R&D Engineer
Organization:
Platform CDA
Schedule:
Full time
Empoyee Status:
Regular
Job Type:
Permanent contract
Job Posting Date:
2023-02-13-08:00
Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
More information on Valeo: https://www.valeo.com