MISSION

Research, Design and Development of Industrial SW tools , through working closely with the Vision R&D; team and gaining 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 project

Review Requirements and add Development Comments in Codebeamer

Drive Production Tools Execution Cycle Time Improvements

Standardize Production Test Tools as Off The Shelf Tools

Closely work with 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

Qualified Experience (Essential)

3 to 5 Years 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 Camera.

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)

📌 Process/Manufacturing Engineering Engineer (Chennai)
🏢 Valeo
📍 Chennai