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Job Summary We are seeking a skilled and detail-oriented BIW Fixture Design professional to join our team. This role will be responsible for the design and development of fixtures used in the Body-in-White (BIW) manufacturing process within the automotive industry. The ideal candidate will possess a strong understanding of engineering principles, proficiency in CATIA and NX , and a commitment to delivering high-quality designs that meet stringent automotive manufacturing standards. Key Responsibilities This role will focus on the design and development of BIW fixtures, ensuring they meet the required specifications and contribute to efficient and accurate manufacturing processes. Responsibilities will include: Designing and developing fixtures for Body-in-White (BIW) assembly lines. Creating detailed C ATIA and NX models and drawings. Collaborating with manufacturing engineers and other stakeholders to ensure design feasibility and manufacturability. Adhering to strict quality control measures and industry best practices. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Bachelor of Engineering / Bachelor of Technology degree is required. 2 - 5 years of experience in fixture design, preferably within the automotive industry. This level of experience indicates a proficiency in design principles and the ability to work independently while contributing to a team environment. Proficiency in CATIA and NX for 3D modeling and design. Strong understanding of 3D Detailing and 2D Detailing principles. Ability to create and interpret Engineering Drawings . Knowledge of Automotive Manufacturing Processes , specifically related to Body-in-White (BIW) assembly. Demonstrated experience in Biw Fixture Design . Familiarity with Concepts software is a plus. What We Offer Salary: Not provided.
Job Summary We are seeking a skilled and experienced Tebis NC Programming Engineer to join our team. This is an onsite position requiring a dedicated individual with a strong background in numerical control programming and a proven ability to work independently and collaboratively within a team environment. Key Responsibilities The Tebis NC Programming Engineer will be responsible for the creation and maintenance of numerical control programs using Tebis . This includes interpreting engineering drawings, understanding manufacturing processes, and ensuring the accuracy and efficiency of the generated programs. Required Skills & Qualifications Tebis Proficiency: Demonstrated expertise in utilizing Tebis software for the creation, modification, and optimization of numerical control programs. This includes a thorough understanding of the software's capabilities and its application to various machining operations. NC Programming Fundamentals: A solid understanding of numerical control programming principles, including toolpath generation, post-processing, and machine kinematics. Blueprint Interpretation: Ability to accurately interpret engineering drawings and technical specifications to determine the required machining operations and program parameters. Problem-Solving Skills: Strong analytical and problem-solving skills to identify and resolve programming errors and optimize machining processes. Communication Skills: Effective communication skills to collaborate with engineers and machinists to ensure the successful execution of machining operations. Experience Required: The ideal candidate will possess 5 - 10 years of experience in numerical control programming, with a focus on Tebis . This level of experience indicates a high degree of proficiency and the ability to handle complex programming challenges with minimal supervision. We expect a candidate who can independently manage programming tasks and contribute to the continuous improvement of our programming processes. What We Offer Salary: 2 LPA - 6 LPA
Job Summary We are seeking a skilled Software Engineer to join our team. This is a hybrid role within the IT / Technology industry. Key Responsibilities This role will focus on engineering design and manufacturing processes, leveraging software engineering expertise to optimize commodity engineering workflows. Required Skills & Qualifications Bachelor's Degree : A foundational degree is required for this role. Teamcenter Development : Demonstrated ability to develop and maintain applications within the Teamcenter environment. Java : Proficiency in Java programming for building robust and scalable software solutions. Full Stack : Experience in Full Stack development, encompassing both front-end and back-end technologies. Coding Language : Strong command of a Coding Language , enabling efficient and effective software development. Framework : Familiarity with various Framework technologies to facilitate rapid application development and maintainability. Engineering Design : Understanding of Engineering Design principles and their application in software solutions. Manufacturing : Knowledge of Manufacturing processes and the ability to develop software to support and optimize these processes. Experience Required: 4 + years . This indicates a mid-level seniority with an expectation of 4 years of relevant experience. Candidates with less experience will be considered. What We Offer Salary: Not specified.
CAE Analyst Job Description Job Summary We are seeking a skilled and experienced CAE Analyst to join our team in Chennai. This role is crucial for supporting our Automotive / Mechanical Engineering initiatives, ensuring the quality and durability of our components and systems. Key Responsibilities The CAE Analyst will be responsible for performing a wide range of CAE simulations and analyses to support product development and validation. This includes, but is not limited to, conducting structural analysis , stress analysis , and fatigue life prediction . The role will also involve root cause analysis and failure analysis to identify and resolve potential issues. The analyst will work closely with design and validation teams to ensure that designs meet performance and durability requirements. Required Skills & Qualifications The ideal candidate will possess a strong foundation in Mechanical Engineering and a proven ability to apply CAE principles to solve real-world engineering problems. A B.E / B.Tech / M.E / M.Tech degree is required. Non-linear FE analysis: Proficiency in performing advanced finite element analyses, including non-linear simulations to accurately predict component behavior under complex loading conditions. Abaqus: Demonstrated experience using Abaqus for conducting FE simulations. FE model building: Ability to create accurate and efficient FE models representing complex geometries and boundary conditions. Meshing: Expertise in generating high-quality meshes using industry-standard tools. HyperMesh: Experience utilizing HyperMesh for efficient mesh generation and model preparation. ANSA: Familiarity with ANSA for pre- and post-processing of FE models. Fatigue life prediction: Ability to perform fatigue life prediction using established methodologies and software. FEMFAT: Experience with FEMFAT for fatigue analysis and damage assessment. Structural analysis: A strong understanding of structural analysis principles and their application to automotive components. Stress analysis: Ability to perform detailed stress analysis to identify areas of high stress concentration and potential failure. Material modeling: Knowledge of material modeling techniques and their impact on simulation results. Contact definitions: Ability to accurately define and implement contact definitions in FE models. Reliability assessments: Experience in performing reliability assessments to evaluate the long-term performance of components. Durability assessments: Ability to conduct durability assessments to ensure components can withstand expected usage conditions. Root cause analysis: Proven ability to perform root cause analysis to identify the underlying causes of failures. Failure analysis: Experience in conducting failure analysis to determine the mechanisms of failure. Automotive engineering: A solid understanding of Automotive engineering principles and practices. Quality processes: Familiarity with quality processes and their application to product development. Robust design methodologies: Knowledge of robust design methodologies to create designs that are insensitive to variations in manufacturing and operating conditions. Manufacturing best practices: Understanding of manufacturing best practices and their impact on component performance. Transmission & driveline systems: Familiarity with Transmission & driveline systems and their components. Gears, Shafts, Clutches, Differentials, Propshafts, Half-shafts, Bearings: Knowledge of the design and analysis of these key components. HyperWorks: Experience with HyperWorks for CAE simulation and analysis. Fatigue life/Damage assessment: Ability to perform fatigue life/Damage assessment to predict component lifespan. Boundary conditions: Ability to accurately define and apply appropriate boundary conditions in FE models. Dynamic loading scenarios: Experience in simulating dynamic loading scenarios to evaluate component response to transient loads. Gear strength: Ability to assess gear strength and durability. Shaft durability: Ability to assess shaft durability under various loading conditions. Road load data: Experience in utilizing road load data for simulation. Simulation load cases: Ability to develop and apply appropriate simulation load cases . Physical test data: Ability to correlate simulation results with physical test data . Refine models: Ability to refine models based on simulation results and experimental data. Material properties: Understanding of material properties and their impact on simulation results. Manufacturing processes: Familiarity with manufacturing processes such as Forging, Casting, and Heat treatment . Component durability: Ability to assess component durability under various operating conditions. CAE simulation tools: Proficiency in using various CAE simulation tools . Customer usage profiles: Ability to incorporate customer usage profiles into simulation models. Duty cycles: Ability to define and apply appropriate duty cycles in simulations. Design robustness: Ability to assess and improve design robustness . DFMEA: Familiarity with DFMEA (Design Failure Mode and Effects Analysis). DVP&R: Understanding of DVP&R (Design Verification Plan and Release). Experience Required: The role requires 4 - 9 years of relevant experience in CAE analysis, preferably within the Automotive or Mechanical Engineering industry. Candidates with a strong track record of solving complex engineering problems and delivering high-quality results are highly encouraged to apply. What We Offer Salary: ₹10 LPA - ₹12 LPA
Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team. This is an onsite position within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities related to software development and maintenance, leveraging a full stack skillset to contribute to our engineering design and manufacturing processes. Required Skills & Qualifications Teamcenter Development: Demonstrated proficiency in developing and maintaining applications within the Teamcenter environment. Java: Strong understanding and practical experience with Java programming language. Full Stack Development: Ability to work across the entire software development lifecycle, from front-end to back-end. GCP: Familiarity with Google Cloud Platform (GCP) for cloud-based solutions. ITK: Experience with ITK (Integration Toolkit) for seamless integration of systems. SOA: Solid understanding of Service Oriented Architecture (SOA) principles and implementation. BMIDE: Experience with Business Modeler IDE for efficient business process modeling. Business Modeler IDE: Ability to utilize Business Modeler IDE to design and implement business processes. XRT: Knowledge of XRT related functionalities. Engineering Design: Understanding of Engineering Design principles and their application in software development. Manufacturing: Knowledge of Manufacturing processes and their integration with software systems. Active Workspace: Experience with Active Workspace for user interaction and data management. Data Models: Ability to design and implement robust Data Models . Business Objects: Experience working with Business Objects and their manipulation. Attributes: Understanding of Attributes and their role in data management. GRM Rules: Ability to configure and manage GRM (Group Rules Management) rules. LOVs: Experience with LOVs (Lists of Values) and their implementation. Declarative UI Components: Ability to develop and utilize Declarative UI Components for user interfaces. Root Cause Analysis: Strong analytical skills with the ability to perform Root Cause Analysis to identify and resolve issues. Database Queries: Proficiency in writing and executing Database Queries for data retrieval and manipulation. PLM Best Practices: Knowledge of PLM (Product Lifecycle Management) Best Practices . Integration Toolkit: Experience with Integration Toolkit for system integration. Web Services: Understanding of Web Services and their implementation. Qualifications: A Bachelor's Degree is required. Experience Required: 4 - 5 years of relevant experience are expected, demonstrating a solid foundation in software engineering principles and practices. This level of experience indicates a readiness to contribute independently and collaboratively within a team. What We Offer Salary: 15 LPA - 16 LPA
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