Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.
The Role
The career level process engineer, able to work autonomously with occasional guidance from supervision. Skilled in equipment/tooling alternatives, sequence and flow of operations for the effective utilization of personnel, material, machines and facilities necessary for the production of parts. Work is performed in a centralized manufacturing engineering activity or assembly/plant activity where creativity and initiative is exercised as well as independent judgment.
LEVEL EXPECTATIONS:
Intermediate level professional, requiring independent judgment and decision-making on significant matters as well as experience and or specialized training typically obtained through a specialized course of academic instruction.
EXPERTISE
- Demonstrates very good understanding of the processes and procedures relevant to own work area with the ability to exercise decision-making skills sufficient to identify and propose solutions to leadership. Understands different areas of their function and how the operations of their area relate to others.
- Identifies and corrects non-routine problems in existing systems and processes through independent judgment. Independently identifies and applies appropriate company policies and procedures to resolve a variety of issues.
- Works under general supervision with limited guidance and direction. Determines an appropriate course of action within broad guidelines and can handle nearly every standard or typical request independently.
COMPLEXITY
- Exercises judgement within defined procedures and practices to determine appropriate action.
- Applies learned techniques to drive the solution to a problem, which typically will involve coordinating and integrating efforts of a diverse team of colleagues.
- Engages in daily interactions with subordinates and/or peers from other functional groups. These interactions typically involve the exchange or presentation of information. Required to collaborate with team members 1-2 levels above.
- Adapts communication style to reach agreement in own area in situations of moderate complexity, demonstrates flexibility and ability to compromise.
SCOPE AND IMPACT
- Handles a range of moderate scope problems that are frequently routine but may vary, requiring analysis of various factors. Follows through on difficult situations and is expected to see through resolution.
- Proposes new initiatives and delivers solutions, driving cross team efforts. Recommends opportunities for process improvement to leadership & proactively anticipates needs within own area.
- Employee’s impact is typically within their immediate work area and occasionally across their function.
What You'll Do
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Design, develop, and fine-tune AI/ML models for parametric modeling, assemblies, drafting, and feature-based design.
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Create and maintain reusable CAD-AI libraries, toolkits, and documentation.
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Evaluate, validate, and benchmark model performance using appropriate metrics.
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Deploy AI models into production environments in collaboration with IT/AI teams.
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Establish monitoring and maintenance processes to ensure model accuracy over time.
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Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.
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Document workflows, results, and lessons learned for organizational knowledge sharing.
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Stay updated on advancements in DFM, industry-specific CAD practices, generative design and topology optimization techniques.
Your Skills & Abilities (Required Qualifications)
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Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.
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7+ years experience in Core CAD customization at Automotive Domain using NX.
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Should have executed at least 2 end-to-end projects in the CAD AI domain (from problem definition to deployment).
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In-depth knowledge of parametric modeling, assemblies, drafting, and feature-based design.
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Proficiency in C#, Python, C++, or Java for CAD automation.
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Proficiency with CAD APIs (NX) including Data model update
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Proficiency in developing and maintaining Start part and Master Modeling for multiple commodities
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Proficiency in template creation for Model Based Design and associated Add On development
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Experience working with CAD convertors
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Experience in ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn).
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Experience with geometry processing, 3D data handling, and feature extraction.
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Strong problem-solving and analytical mindset.
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Understanding of data annotation tools and MLOps workflows
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Experience with CICD Deployment
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Experience in domain-specific AI use cases (manufacturing, automotive, etc.).
