Valeo
Location
Chennai | India
Job description
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.
Technical Leadership and Team Management: ➔ Develop and communicate a strategic vision for the Computer Vision Deep Learning department in alignment with the company's overall goals. ➔ Provide technical leadership for the team, overseeing people management, task tracking, and reporting of activities. ➔ Lead the research and development efforts for the next generation of complex products. ➔ Lead the team in setting clear objectives, milestones, and key results. Strategic Planning and Collaboration: ➔ Collaborate with project managers to determine resource requirements for projects. ➔ Conduct state-of-the-art research into deep learning and computer vision approaches and methodologies. ➔ Create high-level module and sub-module architectures during project kick-off and pre-development phases. Technical Guidance and Approval: ➔ Offer expertise to algorithms and embedded leads in designing computer vision/deep learning functions. ➔ Approve and sign off on all computer vision/deep learning designs in collaboration with relevant leads. Research and Development: ➔ Conduct research, development, benchmarking, testing, and documentation of state-of-the-art computer vision and image processing algorithms, specifically for autonomous parking and driving applications within the assigned project team. ➔ Explore and contribute to next-generation algorithms and identify new business opportunities. Industry Representation and Networking: ➔ Represent the Valeo at various Industry Working Groups and Conferences as directed. ➔ Develop and maintain relationships with university counterparts to stay abreast of the latest advancements. Intellectual Property and Innovation: ➔ Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications. Cross-Team Collaboration: ➔ Contribute to design reviews across algorithm teams to ensure consistency and efficiency. ➔ Collaborate on the design and implementation of in-company training sessions in your area of expertise. Deep Learning Manager-Specific Responsibilities: ➔ Oversee the strategic implementation of deep learning initiatives within the team. ➔ Drive the development of deep learning models and algorithms for cutting-edge applications. ➔ Mentor and guide team members in the application of deep learning techniques. ➔ Ensure the alignment of deep learning strategies with overall project goals. ➔ Stay updated on the latest advancements in deep learning and implement best practices within the team. ➔ Collaborate with stakeholders to define the vision and roadmap for deep learning projects. ➔ Provide technical insights into the integration of deep learning solutions with embedded DSP platforms. ➔ Foster a culture of continuous learning and skill development within the deep learning team. ➔ Identify and address challenges in the implementation of deep learning algorithms. ➔ Champion process improvements and efficiency enhancements in the context of deep learning projects. Candidate Profile Required Skills/Experience Educational Qualifications: ➔ Bachelor's (B.E./B.Tech.) degree with 15+ years of work experience or ➔ Master's (M.E./M.S.) degree with 13+ years of work experience or ➔ Ph.D. in Computer Science with 12+ years of work experience ➔ Computer science, Physics, Electronic Engineering, Software Engineering. Programming and Deep Learning Skills: ➔ Strong proficiency in C and C++ programming. ➔ Alternatively, strong rapid prototyping skills using Python, Matlab, Octave. ➔ Extensive experience in implementing and optimizing deep learning solutions. Deep Learning Frameworks: ➔ Proficiency in popular deep learning frameworks such as TensorFlow, PyTorch, or similar. ➔ Hands-on experience in developing and deploying deep learning models for real-world applications. Computer Vision Expertise: ➔ In-depth understanding of fundamental computer vision algorithms and approaches. ➔ Proven experience in integrating deep learning techniques with computer vision applications. Communication Skills: ➔ Excellent English language communication skills, both written and verbal. ➔ Ability to communicate complex deep learning concepts to technical and non-technical stakeholders. Team Management: ➔ Demonstrated experience in managing deep learning and computer vision teams. ➔ Proven ability to lead high-competency teams effectively. Innovation and Motivation: ➔ High level of innovation and motivation to drive advancements in deep learning technologies. ➔ Track record of successfully introducing innovative deep learning solutions. Research Experience: ➔ Strong research background with a focus on deep learning methodologies. ➔ Published research papers or patents in deep learning and related fields. Problem-Solving Skills: ➔ Excellent problem-solving skills, particularly in addressing complex challenges in deep learning projects. Adaptability: ➔ Ability to adapt to evolving technologies and stay updated with the latest developments in deep learning and computer vision. Collaboration and Interpersonal Skills: ➔ Proven ability to work collaboratively in cross-functional teams. ➔ Effective interpersonal skills to foster a positive and collaborative team environment. Project Management: ➔ Strong project management skills with the ability to plan, execute, and deliver deep learning projects on time and within budget. Desired Attributes Specialization: ➔ Computer Vision, Image Processing, Signal Processing and Machine Learning. Deep Learning and AI: ➔ Experience with Deep Learning and AI frameworks. OpenCV Proficiency: ➔ Skilled in OpenCV programming. Academic Contributions: ➔ Published academic work in the relevant field. Algorithm Development: ➔ Proven experience in algorithm development for LIDAR, camera systems, sensor fusion, computer vision, ultrasonics, RADAR,. Simulation Tools: ➔ Familiarity with PC-based simulation tools. Embedded Software Development: ➔ Experience in developing software for embedded platforms. ➔ Proficient in CUDA or OpenCL for parallel programming. ➔ Experience in developing algorithms for autonomous and/or real-time systems. Version Control: ➔ Proficient in version control software. Automotive Industry Experience: ➔ Previous involvement in the automotive industry. Job: R&D Department/Product Manager Organization: Engineering Software Schedule: Full time Employee Status: Regular Job Type: Permanent contract Job Posting Date: 2023-04-20 Join Us ! Being part of our team, you will join:Job tags
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