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Job Summary We are seeking a highly motivated and experienced DCL Quality professional to join our team in the Automotive industry. This is an onsite position requiring a blend of technical expertise and strong communication skills. The ideal candidate will possess a strong understanding of design and quality processes within a manufacturing environment. Key Responsibilities This role will be responsible for ensuring the quality and integrity of designs and components throughout the development lifecycle. Specific responsibilities will include analyzing designs, identifying potential issues, and collaborating with engineering teams to implement effective solutions. Required Skills & Qualifications Bachelor’s degree in mechanical engineering or a related field. Advanced degree preferred, demonstrating a commitment to advanced knowledge and expertise in the field. CAD proficiency is essential, with experience in utilizing CAD software for design analysis and validation. TCE experience is required, demonstrating a strong understanding of tolerance stack-up and its impact on product quality. PLM experience is necessary, with a proven ability to manage and track design changes within a PLM system. CN sweeps expertise is needed, with a solid understanding of their application in design and manufacturing. Ability to create Suspension kinematics mechanism designs, demonstrating a strong understanding of mechanical principles. Motion simulation skills are required, with the ability to use simulation tools to analyze and optimize designs. Problem-solving skills are critical, with a demonstrated ability to identify and resolve complex design issues. Communication skills are essential, with the ability to clearly and effectively communicate technical information to both technical and non-technical audiences. Teamwork skills are vital, with a proven ability to collaborate effectively with cross-functional teams. Analytical Skills are required, with the ability to analyze data and draw meaningful conclusions. Strategic thinking skills are needed, with the ability to anticipate future challenges and develop proactive solutions. GD&T knowledge is essential, with a thorough understanding of geometric dimensioning and tolerancing principles. Clash and Clearance analysis experience is required, with the ability to identify and resolve potential interference issues. Packaging expertise is needed, with a strong understanding of how to optimize designs for manufacturability and assembly. Experience Required: 6 - 9 years of experience in a related field. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Expectation is for a high level of proficiency and the ability to lead projects and initiatives. What We Offer Salary: Not provided.
Job Summary We are seeking a highly skilled and motivated Google Cloud Engineer - SSE to join our growing team. This is a hybrid role requiring a blend of hands-on technical expertise and collaborative teamwork. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes automating infrastructure provisioning, optimizing cloud resources for cost and performance, and ensuring the reliability and security of our cloud-based applications and services. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. A minimum of 3 years of relevant experience is expected. Experience: 6 - 10 years of experience in a related field is required. This level of experience indicates a strong understanding of cloud technologies and a proven ability to work independently and as part of a team. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, deployment, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud resources. CI/CD: Deep understanding of CI/CD pipelines and experience with tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Solid foundation in Kubernetes concepts, including Deployments , Services , and Autoscaling . Programming/Scripting: Proficiency in Python and Bash scripting for automation and system administration tasks. Version Control: Experience with GitOps principles and tools like ArgoCD and Helm . Cloud Governance: Knowledge of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to analyze and optimize Cloud costs, ensuring efficient resource utilization. Compliance: Understanding of Compliance requirements and experience implementing security measures to meet regulatory standards. Cloud Migration: Experience with Cloud Migration strategies and methodologies. System Reliability: Strong focus on System Reliability and experience designing and implementing highly available and resilient systems. High Availability & Redundancy: Expertise in designing for High Availability and Redundancy . Backup Strategies: Experience developing and implementing effective Backup Strategies . Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and address potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational effectiveness. Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills with the ability to troubleshoot complex technical issues. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts to both technical and non-technical audiences. Teamwork: Demonstrated ability to work effectively as part of a Teamwork environment. What We Offer Salary: ₹15 LPA - ₹20 LPA
Job Summary We are seeking a highly motivated and experienced Vehicle Performance Test Engineer to join our team. This role will focus on conducting and analyzing vehicle performance tests, ensuring the quality and performance of our vehicles. Key Responsibilities The Vehicle Performance Test Engineer will be responsible for planning, executing, and documenting vehicle performance tests. This includes conducting various tests related to fuel economy, emissions, vehicle drivability, and transmission performance. The engineer will also be responsible for analyzing test data, identifying areas for improvement, and collaborating with engineering teams to implement solutions. Required Skills & Qualifications Bachelor’s degree in mechanical or Automobile Engineering. 6-8 years of experience in vehicle performance testing. This level of experience indicates a seasoned professional capable of independently planning and executing complex test programs, analyzing results, and contributing to vehicle development. Analytical Skills: Demonstrated ability to analyze complex data and draw meaningful conclusions. Problem-Solving Skills: Proven ability to identify and resolve technical issues related to vehicle performance. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely communicate technical information to both technical and non-technical audiences. Teamwork: Ability to work effectively as part of a team, collaborating with engineers and other stakeholders to achieve common goals. Data Analysis: Proficiency in data analysis techniques and methodologies. Excel: Advanced proficiency in Excel for data manipulation, analysis, and reporting. MDA: Experience with MDA (Motor Development Analyzer) for vehicle performance analysis. Power BI: Experience using Power BI for data visualization and reporting. Google Slides and Google Sheets: Proficiency in using Google Slides and Google Sheets for presentations and data management. PowerPoint: Proficiency in using PowerPoint for presentations. Vehicle Testing: Comprehensive understanding of vehicle testing methodologies and procedures. DVP Tests: Experience with DVP (Development Verification Plan) tests. Vehicle Coast Down: Expertise in conducting and analyzing Vehicle Coast Down tests. Fuel Economy: Deep understanding of Fuel Economy testing and analysis. Gradeability: Experience in evaluating Gradeability performance. Emission Testing: Knowledge of Emission Testing procedures and regulations. TA & COP: Familiarity with TA & COP (Transmission Application and Calibration Optimization Process). Subjective Assessment: Ability to conduct and interpret Subjective Assessment of vehicle performance. Vehicle Drivability: Experience in evaluating Vehicle Drivability characteristics. Gear Shift Quality: Ability to assess and analyze Gear Shift Quality . Manual Transmission: Understanding of Manual Transmission systems and testing. Automatic Transmission: Understanding of Automatic Transmission systems and testing. Benchmark Vehicle Testing: Experience in conducting Benchmark Vehicle Testing . Root Cause Analysis: Ability to perform Root Cause Analysis to identify and resolve performance issues. Benchmarking: Experience in conducting Benchmarking studies. Data Seeking: Ability to effectively Data Seeking to support analysis and decision-making. Technical Discussions: Ability to participate in and lead Technical Discussions . Calibration: Experience with vehicle Calibration processes. Application Management: Experience in Application Management related to vehicle testing. V Box: Experience using V Box for vehicle performance measurement. Ipetronic: Experience using Ipetronic for engine testing and analysis. L350 Aqua Sensor: Experience using L350 Aqua Sensor for environmental testing. CAN Analyser: Experience using CAN Analyser for vehicle communication analysis. DFL: Familiarity with DFL (Data Flash Loader). INCA: Experience using INCA (IN Control) for ECU calibration and diagnostics. ETAS: Familiarity with ETAS (Electrical Transport and Automotive Systems) products and technologies. What We Offer Salary:
Job Summary We are seeking a skilled and motivated Virtual Analysis Engineer L2 Safety to join our team in Chennai. This role will focus on performing virtual analysis and simulations to ensure the safety and performance of our automotive products. The ideal candidate will possess a strong understanding of CAE analysis techniques and a passion for contributing to a safe and reliable vehicle design. Key Responsibilities This role will involve a range of responsibilities centered around virtual analysis and safety assessments. You will be expected to contribute to the development and validation of safety models and simulations, ensuring adherence to industry standards and performance requirements. Collaboration with cross-functional teams will be essential to integrate analysis results into the overall design process. Required Skills & Qualifications Education: A Bachelor's degree (B.E, B.Tech) or Master's degree (M.E, M.Tech) in Mechanical, or Automobile Engineering is required. Experience: 3-7 years of experience in virtual analysis, specifically within the automotive industry, is expected. This level of experience indicates a proficiency in applying CAE techniques to solve complex engineering problems and a demonstrated ability to work independently and as part of a team. CAE Analysis: Demonstrated expertise in CAE analysis , including finite element analysis (FEA) and crash simulations. Safety FE Models: Proficiency in developing and utilizing Safety FE Models to assess vehicle safety performance. Sled Simulations: Experience with Sled simulations to evaluate crashworthiness and impact resistance. Full Vehicle Occupant Simulations: Ability to conduct Full Vehicle Occupant Simulations to assess occupant safety during crash events. Software Proficiency: Strong working knowledge of ANSA and LS-DYNA for performing finite element analysis and crash simulations. Engineering Fundamentals: Solid foundation in Classical Mechanics , Applied Mechanics , and Strength of Materials . Human Body Model (HBM): Familiarity with Human Body Model (HBM) techniques for simulating occupant response in crash scenarios. Scripting: Ability to utilize Scripting to automate analysis tasks and improve efficiency. AI Tools: Experience with AI tools for data analysis and optimization. Materials Knowledge: Understanding of the behavior of Metals and Composite parts under various loading conditions. Failure Analysis: Ability to perform Failure analysis to identify potential weaknesses in vehicle designs. Cross-Functional Collaboration: Ability to effectively collaborate with Cross-functional performance requirements teams to ensure alignment on safety goals. Design Proposals: Ability to contribute to Design proposals and provide feedback based on analysis results. Communication Skills: Excellent Communication skills , both written and verbal, to effectively communicate technical findings to stakeholders. Presentation Skills: Strong Presentation skills to clearly and concisely present analysis results. Analytical Skills: Exceptional Analytical Skills to interpret data and draw meaningful conclusions. Problem-Solving Skills: Demonstrated Problem-Solving Skills to identify and resolve complex engineering challenges. Teamwork: Ability to work effectively as part of a Teamwork environment. Personal Attributes: A Positive Attitude and a strong Learning aptitude are essential. What We Offer Salary:
Job Summary We are seeking three Software Engineer professionals to join our growing team. This role is ideal for individuals with a strong foundation in software development and a passion for building scalable and robust applications within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The successful candidate will contribute to the development of high-quality Microservices and RESTful APIs , ensuring adherence to coding standards and best practices. Required Skills & Qualifications Education: A bachelor's degree is required. Experience: A minimum of 10 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Programming Languages: Proficiency in Java and Spring Boot is essential. Cloud Technologies: Demonstrated experience with Google Cloud Platform (GCP) , including Cloud Run , and Red Hat OpenShift . Infrastructure Management: Solid understanding of Infrastructure as Code principles and experience with Terraform . DevOps Practices: Familiarity with CI/CD pipelines and associated tools. Database Management: Experience with SQL and Postgres databases. Software Development Best Practices: A commitment to Code Quality and a strong understanding of Testing methodologies, including Unit Testing and Integration Testing . Architectural Patterns: Experience designing and implementing Distributed Systems . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Collaboration & Communication: Excellent Communication Skills and the ability to engage in effective Cross-functional teamwork . Project Management Tools: Experience using Jira for project tracking and issue resolution. Security Practices: A strong understanding of Security principles, including Encryption and Anonymization techniques. API Development: Experience in designing and implementing APIs . Problem-Solving & Analytical Skills: Exceptional Problem-Solving Skills and Analytical Skills . User Interface: Familiarity with User Interface development. JVM: Understanding of the JVM . Debugging: Proficiency in Debugging and Performance Tuning . What We Offer Salary: (No salary provided)
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