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Location: Chennai
Company: Valeo
Research, Design and Development of Industrial SW tools, through working closely with the Vision R&D team and gaining a clear understanding of product requirements. Development of fully featured test systems for supporting from early prototype/feasibility stage and up to high-volume, tightly regulated production processes.
Responsibilities
General
- Drive Test Engineering best practices from Prototyping to Series Production.
- Leverage world-class R&D and Production Teams both locally and internationally to quickly understand Project requirements, risks, milestones, and develop test strategy, timing plans and deliverables.
- Drive mindset of Continuous Development and Continuous Improvement
Software Development Life Cycle
- Development / Validation / Deployment / Integration of cutting-edge technologies, latest communication standards and automation techniques
- Development of internal/external Vision P2 Industrial Production test systems/code modules.
- Document and share HLD / LLD as part of the project
- Review Requirements and add Development Comments in Codebeamer
- Drive Production Tools Execution Cycle Time Improvements
- Standardise Production Test Tools as Off-the-Shelf Tools
- Work closely with the Vision R&D team to import tools for production standards
- Conduct post-release / post-deployment testing
- Provide formal (documented) training as part of Project handover to Production team
Education/Training
Bachelor in Engineering or Equivalent
Professional Experience (Essential)
- 3 to 5 years of experience within the Electronics Manufacturing Environment (ideally Automotive Electronics).
- NI LabVIEW Development (2 – 3 Years). Minimum CLD Certification.
- NI TestStand Development (2 – 3 Years). CTD Certification is an advantage.
- Experience in C, C++ for Industrial Tools Development (2 – 3 Years).
- Experience in AI / ML / Python programming / Deep Learning framework PyTorch (1 – 2 years).
- Experience in test tools development for automotive cameras.
- Exposure to Automotive Camera Manufacturing Process (Lens Alignment & EOL Tests etc).
- Hands-on experience with LLMs & Generative AI.
- Exposure to Prompt Engineering, RAG and Vector Databases.
- Build LLM-based applications & Intelligent Automation Tools.
- Experience in Development & Deployment of AI / ML solutions.
- Collaborate with cross-functional teams to deliver AI solutions.
- Experience Testing & Validation. ISTQB CTFL Certification is an advantage.
- Development / Testing management (Core-ALM, Codebeamer etc)
- Version management (Git-Hub, SVN etc.), Report Management (JFrog, Nexus etc)
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