Position:
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Artificial Intelligence Engineer
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Focus on research driven development in autonomous systems
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Involvement in machine intelligence projects related to automotive technologies
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Strong contribution expected in algorithm design, evaluation, and real world problem solving
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Active participation in forward looking ideas related to camera data and sensor data
Company:
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Valeo
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Global technology company working in mobility solutions
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Known for innovation in automotive safety and greener mobility
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Strong research culture supported by thousands of engineers
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Diverse teams located across many countries
Location:
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Chennai
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Work environment that supports regular collaboration
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Access to research facilities
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Interaction with global teams through virtual sessions
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Exposure to multiple automotive projects
Job type:
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Full time
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Regular employee position
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Permanent contract under the company standards
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Part of the Artificial Intelligence Development group
Job mode:
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Onsite
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Emphasis on in person collaboration for research activities
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Close interaction with engineering and testing units
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Occasional participation in industry events
Job requisition id:
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REQ2025062098
Years of experience:
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0-3 years
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Training and support is provided internally for early career talent
Company description:
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Valeo is recognized as a global technology organization that builds solutions for modern mobility.
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The company has a strong presence across continents and supports a large network of engineers, product specialists, researchers, and business teams.
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Its mission focuses on cleaner transportation, safer driving, and intuitive solutions.
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The work culture supports continuous learning, international collaboration, and community driven values.
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Employees are encouraged to explore new ideas that contribute to forward moving automotive technologies, including sensor based automation and AI focused platforms.
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With a presence in many countries and a workforce that crosses cultural boundaries, the company promotes inclusivity and teamwork.
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Valeo also invests heavily in research programs to support low emission and safe transport systems.
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The company has been acknowledged for its contribution to sustainability within the automotive sector.
Profile overview:
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The role concentrates on creating AI based systems that support autonomous driving features within the automotive domain.
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A candidate will explore research ideas, convert them into workable components, and test them in simulated and real conditions.
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There is ongoing collaboration across teams that work on perception algorithms, embedded systems, and future looking automotive functions.
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The work includes exploration of camera data, sensor streams, and fusion methods that enhance environmental understanding for vehicles.
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Participation in reviewing designs, testing system accuracy, and documenting research findings is needed.
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The role supports internal training as well, since team members share knowledge with colleagues working across different algorithm groups.
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Candidates contribute to patent related documents, showcasing innovation from the work.
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The team also engages with external communities like industry groups, conferences, and academic interactions to maintain awareness of ongoing advancements.
Qualifications:
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Computer Science, Artificial Intelligence, Data Science, or related education background is preferred.
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Knowledge of deep learning methods and camera based perception is essential.
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Experience with object detection methods including widely used model families is helpful.
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Programming expertise in Python is required for building and testing models.
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Awareness of structured development practices such as documentation, version control, and coding standards strengthens the candidate profile.
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Capability to troubleshoot errors, run analysis on model performance, and refine solutions is needed.
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Strong communication skills help in documenting research, presenting findings, and supporting other groups.
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A mindset that shows curiosity, discipline, and willingness to learn supports long term growth in the team.
Additional info:
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Experience with Transformers, multi task learning, optimization, or multi modal models provides an advantage.
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Some projects may involve designing systems that contain many interconnected algorithm blocks.
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Research publications in recognized conferences are appreciated but not mandatory for fresh candidates.
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Knowledge of autonomous platforms such as robotics, LIDAR systems, camera systems, or real time sensor environments adds value.
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Insight into advanced camera technologies helps in understanding perception systems.
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Candidates joining as freshers will receive guidance from senior engineers through regular mentoring and collaborative work sessions.
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The role sits within the research and development structure of the company, which involves exposure to early stage technologies.
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The organization encourages a culture of growth, service to community goals, teamwork, and care for environmental responsibility.
Please click here to apply.

