Job Description

Responsibilities

Responsibilities & Required Skills

• Research, develop, benchmark, and document state of the art deep learning solutions for autonomous driving & parking perception applications.
• Perform research into new technology, ideas, and approaches in the deep learning domain.
• Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
• Contribute to design reviews across algorithm teams.
• Come up with ideas for next generation algorithms and new business opportunities
• Develop algorithms with a view to implementing Hardware Accelerators
• Represent Valeo, DVS 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 relationships with university counterparts
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Identify and suggest / implement improvements within the current processes used in algorithm development
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
• Developing ML algorithms to analyse huge volumes of historical data to make predictions
• Running tests, performing statistical analysis, and interpreting test result
• Industry 10+ years' experience in applied research in the field of deep learning and computer vision
• Exposure to state of the art technologies in Deep learning (e.g. GANs, LSTM, Bayesian Machine Learning)
• Experience in Deep Learning in one of the following: object detection, segmentation, tracking, pose estimation, action recognition, differentiable rendering
• Expert in Python programming and good understanding of deep learning frameworks and workflow
• Experience in working with large data sets and developing infrastructure pipelines
• Strong fundamentals in 3D geometry
• Strong knowledge of camera parameters and colour models
• High level of innovation and motivation
• Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
• In-depth knowledge of mathematics, statistics, and algorithms
• Applied Deep Learning work experience preferred.
• Academic publications in relevant field
• Experience with parallel programming in CUDA, or OpenCL
• Algorithm development experience in robotics, ultrasonics, RADAR, LIDAR, camera systems, sensor fusion or computer vision
• Experience with PC-based simulation tools
• 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.

• BE / B-Tech degree or ME / MS degree or PhD in Physics, Electronic Engineering, Software Engineering with minimum 5 years' experience in Deep Learning
• Specialisation in Machine Learning preferred