Senior Mechanical Engineer

Overview

Company name: Applix AI | HQ Location: Austin, Texas | Website | LinkedIn

Role: Senior Mechanical Engineer

• Salary: Rs. 40-50  lakhs per annum
• Experience: 5+ years
• Location: Hyderabad
• Type: Remote

Job Description:

We are looking for a Senior Mechanical Engineering Research and Design Engineer to play a crucial role in developing and enhancing the Applix AI Copilot. The ideal candidate will bring a unique blend of mechanical engineering expertise, systems thinking, and enthusiasm for AI-driven design optimization. You will work closely with our interdisciplinary team to research, implement, and refine cutting-edge design optimization techniques and models.

Key Responsibilities:

1. Contribute to the development and improvement of AI-driven design optimization algorithms for mechanical systems.
2. Apply and enhance Design for X (DFx) principles within the Applix AI Copilot platform, focusing on manufacturability, assembly, quality, performance, and cost.
3. Implement and refine Failure Mode and Effects Analysis (FMEA) methodologies in our AI-driven quality control processes.
4. Research and integrate state-of-the-art mechanical design optimization techniques into our platform.
5. Collaborate with cross-functional teams (AI engineers, software developers, UX designers) to enhance the Applix AI Copilot's capabilities and user experience.
6. Analyze complex manufacturing data to identify patterns and opportunities for optimization.
7. Develop and maintain documentation for design optimization models and processes.
8. Contribute to the continuous learning and improvement of our AI system by providing domain expertise and feedback.
9. Identify and analyze defects at both production and post-production stages, conducting comprehensive Root Cause Analysis (RCA). 
10. Examine and interpret diverse data points from various sources, including production inspections, warranty recall data, user complaints, telemetry data, and information from IoT devices, CRM, ERP, and MES systems. 
11. Develop and implement predictive analytics models to identify potential defects before they occur. 
12. Create prescriptive models that recommend actions to prevent predicted defects. 
13. Continuously refine and improve defect prediction and prevention models based on new data and insights.

Qualifications:

1. Master's or Ph.D. in Mechanical Engineering or a related field.
2. 5+ years of experience in mechanical design, with a focus on design optimization and manufacturing processes.
3. Strong understanding of DFx principles, including Design for Manufacturing (DFM) and Design for Assembly (DFA).
4. Expertise in FMEA and other quality control methodologies in manufacturing.
5. Experience with CAD/CAM/CAE software and simulation tools.
6. Proven experience in defect analysis and root cause identification in manufacturing environments. 
7. Strong background in data analysis and interpretation, particularly with diverse data sources relevant to manufacturing and product lifecycle. 
8. Experience with predictive and prescriptive analytics, preferably in a manufacturing or engineering context.
9. Familiarity with machine learning and AI concepts, particularly as applied to engineering design.
10. Strong analytical and problem-solving skills, with the ability to think critically about complex systems.
11. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills:

1. Experience with programming languages such as C++, Python and MATLAB for data analysis and model development.
2. Knowledge of Industry 4.0 concepts and technologies.
3. Familiarity with cloud computing platforms and big data technologies.
4. Experience with additive manufacturing technologies and processes.
5. Track record of publications or patents in the field of design optimization or AI-driven manufacturing.
6. Familiarity with IoT technologies and their application in manufacturing. 
7. Experience working with CRM, ERP, and MES systems, and ability to integrate data from these sources for comprehensive analysis. 
8. Knowledge of statistical process control (SPC) and its application in defect prevention. 
9. Experience with data visualization tools to effectively communicate complex data insights.

About us
Applix revolutionizes manufacturing with our AI Copilot, an intelligent assistant that optimizes designs, prevents defects, and slashes time-to-market and cost, while keeping humans in the loop. We blend cutting-edge technology with human expertise and Industry 4.0 consulting to drive unprecedented efficiency and quality. Our human-centric approach transforms manufacturing processes, establishing us as a go-to-partner in smart, sustainable solutions.