LIN Jobs in Chennai

SIL Integration

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and motivated SIL Integration Engineer to join our team. This role will focus on the integration and testing of Software-in-the-Loop (SIL) systems within the automotive industry. The ideal candidate will possess a strong understanding of automotive protocols and a proven ability to develop and execute SIL/HIL test strategies. Key Responsibilities The SIL Integration Engineer will be responsible for the following: Developing and executing Software-in-the-Loop (SIL) test plans and test cases. Integrating and testing Electronic Control Units (ECUs) within a SIL environment. Troubleshooting and resolving issues identified during SIL testing. Collaborating with cross-functional teams, including software engineers, hardware engineers, and validation engineers. Contributing to the continuous improvement of our SIL/HIL testing processes. Required Skills & Qualifications The ideal candidate will possess the following skills and qualifications: Proficiency in MATLAB and Simulink for model-based development and simulation. Strong programming skills in C and Python for developing test scripts and automation tools. Experience with CAPL for creating and executing tests within the ECU-Test environment. Hands-on experience with ECU integration and SIL/HIL application development . Knowledge of hybrid electric vehicle ( xHEV ) and battery electric vehicle ( BEV ) architectures. Solid understanding of automotive communication protocols including CAN , CAN FD , and LIN . Familiarity with diagnostic protocols such as UDS . Working knowledge of AUTOSAR Classic architecture. Experience Required: 2 - 5 years of relevant experience in automotive software development and testing. This level of experience indicates a proficiency in applying established techniques and a capacity to work with moderate supervision, contributing effectively to team goals and problem-solving efforts. What We Offer Salary: Not specified. This position is onsite .

Data Science and Machine Learning Specialist

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Data Science and Machine Learning Specialist to join our team in Chennai. This role will focus on leveraging data to drive insights and build impactful solutions. The ideal candidate will possess a strong analytical background and a passion for applying data science techniques to solve complex business challenges. Key Responsibilities The specific responsibilities will be determined based on the needs of the business and will evolve over time. The candidate should be prepared to adapt and take on new challenges as they arise. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Data Science : A strong understanding of data science principles, methodologies, and best practices, including data exploration, cleaning, and transformation. Machine Learning : Proficiency in applying machine learning algorithms and techniques to build predictive and prescriptive models. Data Mining : Experience in extracting valuable insights and patterns from large datasets using data mining techniques. Predictive Modeling : Ability to develop and implement predictive models to forecast future outcomes and trends. Prescriptive Modeling : Capability to build prescriptive models that recommend optimal actions based on data-driven insights. Math : A solid foundation in mathematical concepts, including calculus, linear algebra, and optimization. Statistics : A strong understanding of statistical methods and their application to data analysis and interpretation. Advanced Analytics : Expertise in applying advanced analytical techniques to solve complex business problems. Data Augmentation : Experience with data augmentation techniques to improve model performance and generalization. Scalable Models : Ability to design and implement scalable machine learning models that can handle large datasets and high-volume workloads. Automation : Experience in automating data science workflows and processes to improve efficiency and productivity. Big Query : Proficiency in using Big Query for data storage, querying, and analysis. Education : A Bachelor's Degree is required. Experience : A minimum of 5 - 5 years of relevant experience in data science and machine learning is required. This level of experience indicates a seasoned professional capable of independently tackling complex projects and mentoring junior team members. What We Offer Salary : Not specified.

Virtual Analysis Engineer Durability

RLE India Private Limited•

Pune

+1 More

Other Locations1 cities

Chennai

•full time

Job Summary We are seeking a Virtual Analysis Engineer Durability to join our team. This role will focus on durability analysis and simulation within the automotive/technology industry. The position requires onsite work. Key Responsibilities This role will involve a range of responsibilities related to virtual analysis and durability assessments. Specific duties will be determined based on the evolving needs of the team and projects. Required Skills & Qualifications Product Understanding: Demonstrated ability to understand and interpret product designs and specifications, translating them into effective analysis strategies. Linear Simulations: Proficiency in performing linear simulations to assess structural behavior under various loading conditions. Non Linear Simulations: Experience conducting non-linear simulations to account for material non-linearity and complex loading scenarios. Static Simulations: Ability to perform static simulations to determine stress distributions and structural integrity. Dynamic Simulations: Capability to conduct dynamic simulations to analyze time-dependent behavior and response to transient loads. Fatigue Software: Familiarity with fatigue analysis software for predicting component lifespan and durability. Root Cause Studies: Experience in conducting root cause studies to identify failure mechanisms and implement corrective actions. CAE Simulations: Comprehensive understanding of Computer-Aided Engineering ( CAE ) simulation methodologies. Virtual Scorecard Assessment: Ability to perform Virtual Scorecard Assessments to evaluate product performance against target criteria. Software Proficiency: Demonstrated proficiency in utilizing industry-standard CAE software, including Ansa , Nastran , Abaqus , and HyperView . Education: A B.E , B.Tech (Mechanical, Automobile, Production Engineering), M.E , or M.Tech degree is required. Experience Required We are seeking candidates with 1 - 4 years of relevant experience. This level of experience indicates a foundational understanding of analysis principles and the ability to contribute effectively to a team environment. Expectation is for a motivated individual ready to learn and grow within the role. What We Offer Salary: (No salary information provided)

Principal Java Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Java Expert to join our dynamic team. This is a hybrid role requiring a blend of remote and on-site work. The ideal candidate will possess a deep understanding of Java and related technologies, with a proven ability to design, develop, and deploy robust and scalable applications within an IT / Technology environment. Key Responsibilities The Java Expert will be responsible for a range of tasks including designing and implementing complex Java -based solutions, participating in architectural discussions, and mentoring junior developers. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications Java : Extensive experience in Java development, including a strong understanding of core Java concepts and best practices. Jakarta EE : Proficiency in utilizing Jakarta EE technologies for building enterprise-grade applications. Domain-Driven Design : Ability to apply Domain-Driven Design principles to create maintainable and scalable software. Cloud-Native Systems : Experience designing and developing Cloud-Native Systems for optimal performance and scalability. Java SE : Solid foundation in Java SE fundamentals. JPA : Proficiency in using JPA for object-relational mapping. CDI : Experience with CDI for dependency injection. EJB : Knowledge of EJB for enterprise Java beans. JAX-RS : Ability to develop RESTful APIs using JAX-RS . Application Servers: Experience with application servers such as WebSphere Liberty , Payara , and WildFly . Microservices Architecture : Deep understanding of Microservices Architecture principles and patterns. Distributed Systems : Experience in designing and implementing Distributed Systems . Cloud Platforms: Experience with cloud platforms including AWS , Azure , and GCP . Containerization: Proficiency in using Docker for containerization. Orchestration: Experience with Kubernetes for container orchestration. Event-Driven Architectures : Ability to design and implement Event-Driven Architectures . Messaging Systems : Experience with Messaging Systems such as Kafka and RabbitMQ . API Design : Strong skills in API Design principles. RESTful : Proficiency in developing RESTful APIs. GraphQL : Knowledge of GraphQL for querying APIs. CI/CD Pipelines : Experience in building and maintaining CI/CD Pipelines . DevOps Practices : Familiarity with DevOps Practices . Version Control: Proficiency in using Git for version control. Automation: Experience with Jenkins for automation. Analytical Skills : Strong Analytical Skills for problem-solving. Problem-solving Skills : Excellent Problem-solving Skills . Debugging Skills : Proficient Debugging Skills . Communication Skills : Effective Communication Skills . Leadership Skills : Demonstrated Leadership Skills . Reactive Frameworks: Experience with reactive frameworks such as Spring WebFlux , Quarkus , and Micronaut . NoSQL Databases : Experience with NoSQL Databases such as MongoDB and Cassandra . In-Memory Data Grids : Knowledge of In-Memory Data Grids such as Hazelcast and Redis . Security Frameworks : Experience with Security Frameworks such as OAuth2 and OpenID Connect . Observability Tools : Familiarity with Observability Tools such as Prometheus , Grafana , and ELK Stack . Experience Required: The ideal candidate will have 7 - 15 years of experience in Java development, demonstrating a high level of proficiency and a proven track record of success in delivering complex projects. This level of experience is expected to include leading technical initiatives and mentoring junior team members. What We Offer Salary: 50 LPA

Platform Engineering Engineer D

RLE India Private Limited•

Chennai

•Full-time

Platform Engineering Engineer D Job Summary We are seeking a highly skilled and motivated Platform Engineering Engineer D to join our growing team in Chennai. This role will be responsible for building and maintaining our core platform infrastructure, ensuring its reliability, scalability, and security. The ideal candidate will possess a strong foundation in cloud technologies, automation, and DevOps practices. Key Responsibilities Responsibilities include managing and optimizing our Cloud Infrastructure , automating deployment processes, and ensuring the smooth operation of our services. The role requires a proactive approach to Technical Troubleshooting and a commitment to continuous improvement of our platform's performance and stability. Required Skills & Qualifications Education: A Bachelor's degree in Computer Science, Information Technology, or a related field is required. Experience: A minimum of 6 - 6 years of experience in a similar role is expected. This level of experience indicates a proven ability to design, implement, and maintain complex systems, as well as a strong understanding of best practices in platform engineering. Cloud Technologies: Demonstrated proficiency in AWS , Azure , and GCP . This includes experience with cloud services, resource management, and security best practices. Containerization & Orchestration: Strong understanding and practical experience with Kubernetes and Openshift . Ability to design, deploy, and manage containerized applications at scale. Infrastructure as Code: Expertise in TERRAFORM and Ansible for automating infrastructure provisioning and configuration management. DevOps Practices: Solid understanding of DevOps principles and experience implementing CI/CD pipelines. Experience with GitHub and Tekton is a plus. Operating Systems: Proficiency in Linux and redhat environments. Monitoring & Observability: Experience with Dynatrace for application performance monitoring and observability. Scripting & Automation: Strong Scripting skills, including Python , for automating tasks and improving efficiency. Networking: Solid understanding of Network Protocols & Standards . Storage Management: Experience with Storage Capacity Management . Virtualization: Familiarity with VMware . Communication: Excellent Communications skills, both written and verbal, to effectively collaborate with cross-functional teams. Problem Solving: Exceptional Problem Solving abilities to quickly identify and resolve technical issues. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking two Artificial Intelligence Senior Associates to join our growing team in Chennai. This role is ideal for a highly motivated individual with a strong foundation in AI/ML and a passion for building innovative solutions within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for contributing to the full lifecycle of AI/ML models, from design and development to deployment and monitoring. This includes collaborating with cross-functional teams to define requirements, build and test models, and ensure their ongoing performance and reliability. Required Skills & Qualifications AI/ML : A strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. This includes experience in model selection, training, and evaluation. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) services for machine learning, including but not limited to GCP AI Platform, Vertex AI, and related tools. GenAI : Experience with Generative AI models and techniques, including understanding of their capabilities and limitations. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into larger systems. MLOps : Solid understanding of MLOps principles and practices, including continuous integration, continuous delivery, and automated testing for machine learning models. Governance : Knowledge of data governance principles and best practices, ensuring responsible and ethical use of AI/ML models. RESTful APIs : Experience designing and implementing RESTful APIs for integrating AI/ML models into applications and services. Microservices : Understanding of microservices architecture and experience building and deploying AI/ML models as microservices . Data Pipelines : Ability to design, build, and maintain robust and scalable data pipelines for ingesting, transforming, and preparing data for AI/ML models. Model Monitoring : Experience in implementing and maintaining model monitoring systems to track performance, detect anomalies, and ensure model reliability. Performance , Drift , Reliability : A keen eye for detail and a commitment to ensuring the performance , minimizing drift , and maximizing the reliability of AI/ML models. Serverless : Experience with serverless computing platforms and their application to AI/ML model deployment. Containerized : Proficiency in containerized deployment using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate effectively with product management teams to define requirements and translate business needs into technical solutions. Reasoning : Strong analytical and reasoning skills to effectively analyze data and solve complex problems. Tool-use : Ability to quickly learn and adapt to new tools and technologies. APIs : Experience working with various types of APIs . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in AI/ML development and deployment. What We Offer Salary :

Software Engineer (3) - Core Engineer D

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer D Job Summary We are seeking three experienced Software Engineers to join our team as Core Engineers. This role will be based onsite in Chennai and offers a challenging opportunity to contribute to cutting-edge technology solutions within the Technology industry. Key Responsibilities The responsibilities for this role will be defined upon onboarding and will align with the team's objectives. Required Skills & Qualifications Education: A Bachelor's Degree and a Master's Degree are required. Experience: A minimum of 8 years of experience in software engineering is expected. This level of experience indicates a seasoned professional capable of independent work and potentially mentoring junior team members. Programming Languages: Proficiency in Java and TypeScript is essential. Frameworks & Libraries: Demonstrated experience with Spring Boot , React , and Next.js . Databases: Strong understanding of both Relational Databases and NoSQL databases. Object-Oriented Design Principles: A solid grasp of Object-Oriented Design Principles is required, enabling the creation of maintainable and scalable code. Agile Methodologies: Experience with eXtreme Programming is desirable. Cloud Technologies: Familiarity with Google Cloud Platform ( GCP ), Amazon Web Services , Microsoft Azure , and Pivotal Cloud Foundry . Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Code Quality Tools: Experience with SonarQube for code quality analysis. Build Tools: Proficiency with Maven and Gradle for dependency management and build automation. API Management: Experience with Apigee X and API Gateways for managing and securing APIs. Front-End Architecture: Understanding of Micro Frontend Architecture and Event-Driven Architecture . Web Development Fundamentals: Strong foundation in HTML , CSS , and JavaScript . JavaScript Frameworks: Experience with Webpack , Redux , PrimeNG , and Bootstrap . Testing: Experience with Performance Testing Frameworks , Mocha , Jest , Jasmine , Karma , and JUnit . DevOps: Experience with Cloud Monitoring and Splunk , Dynatrace . Project Management Tools: Experience with Jira , CA Agile Central , and Rally . Soft Skills: Excellent Communication Skills , Interpersonal Skills , and Problem-Solving Skills . Leadership: Demonstrated Leadership potential. Data & Analytics: Experience with Machine Learning , Mathematical Modeling , and Data Analysis . What We Offer Competitive Salary

Back-end Software Development Engineering Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Back-end Software Development Engineering Engineer 0 Job Summary We are seeking a skilled Back-end Software Development Engineering Engineer 0 to join our team in Chennai. This role is ideal for a highly motivated individual with a strong foundation in back-end development and a passion for leveraging cutting-edge technologies to solve complex problems. Key Responsibilities The specific responsibilities will be determined based on the needs of the project and the candidate's strengths. The role will involve contributing to the design, development, and maintenance of robust and scalable back-end systems. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 5-6 years of experience in back-end software development are expected. This level of experience indicates a proficiency in designing and implementing complex systems, as well as a demonstrated ability to work independently and as part of a team. Programming Languages: Demonstrated proficiency in Java and Python is essential. Frameworks & Technologies: Experience with Spring Boot is required. Familiarity with GCP and Cloud environments is highly desirable. Legacy Systems: Experience with Mainframe Systems and JCL is a significant advantage, particularly in the context of Legacy Modernization efforts. Databases: Strong understanding and experience with DB2 is required. Code Quality & Analysis: Experience utilizing SonarQube for code analysis and quality assurance. Data Integration: Experience with Pub/Sub for data streaming and integration. Artificial Intelligence: Foundational understanding of AI concepts and their application to software development. Large Language Models: Familiarity with LLM Integration and Prompt Engineering techniques. Analytical Skills: Strong Analytical Skills are required to effectively analyze complex problems and develop innovative solutions. Problem-Solving Skills: Excellent Problem-Solving Skills are essential for troubleshooting and resolving technical challenges. Communication Skills: Effective Communication Skills are necessary for collaborating with team members and stakeholders. Documentation: Experience with Documentation Tooling to create and maintain clear and concise technical documentation. What We Offer Salary:

BIW Fixture design

SACHA Engineering•

Chennai

•full time

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.

Senior Engineer_Loads Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Senior Engineer to join our growing team. This role is ideal for a seasoned professional with a strong background in automotive or technology, possessing a blend of analytical expertise and practical engineering experience. The successful candidate will contribute to challenging projects, leveraging their technical skills to solve complex problems and drive innovation. Key Responsibilities While specific responsibilities will evolve with project needs, the Senior Engineer will be expected to contribute to a range of engineering tasks, demonstrating initiative and a commitment to delivering high-quality results. This includes applying engineering principles to analyze and solve problems, documenting findings clearly and concisely, and collaborating effectively with cross-functional teams. Required Skills & Qualifications Education: A PhD , M.E/ M.Tech , or B.E/ B.Tech degree in Automobile , Mechanical , or Design Engineering is required. Experience: 3-5 years of relevant professional experience is expected, demonstrating a solid foundation in engineering principles and practical application. This level of experience indicates the ability to work independently, contribute to team goals, and mentor junior engineers. Software Proficiency: Demonstrated expertise in the following software and tools: Adams/View : Proficient in utilizing Adams/View for multi-body dynamics simulation and analysis. Adams/Car : Experience with Adams/Car for vehicle dynamics simulation and modeling. Insight : Ability to leverage Insight for post-processing and visualization of simulation results. Motion View : Familiarity with Motion View for visualizing and analyzing motion data. Hypergraph : Skilled in using Hypergraph for data analysis and visualization. NASTRAN : Experience with NASTRAN for finite element analysis. MATLAB : Proficient in using MATLAB for numerical computation and simulation. Simulink : Skilled in utilizing Simulink for dynamic system modeling and simulation. Adams Command Language : Ability to use Adams Command Language for scripting and automation. Python : Programming skills in Python for data analysis and automation. Linux : Familiarity with Linux operating systems for engineering tasks. Engineering Knowledge: Strong understanding of the following engineering principles: K&C : Knowledge of Kinematics and Compliance analysis. vRLDA : Experience with virtual reality load data analysis. Durability Loads Calculations : Ability to perform durability load calculations. Vehicle Dynamics : Solid understanding of vehicle dynamics principles. Analytical & Problem-Solving Skills: Exceptional Analytical Skills and Problem-Solving Skills to identify, analyze, and resolve complex engineering challenges. Communication & Interpersonal Skills: Excellent Communication Skills , both written and verbal, to effectively communicate technical information to a variety of audiences. Organizational & Management Skills: Strong Organization and Planning skills to manage multiple tasks and prioritize effectively. Program Management experience is a plus. Documentation Skills: Ability to produce clear and concise Technical Writing for reports and documentation. Presentation Skills: Ability to deliver engaging and informative Presentations . Software Suite: Proficiency in MS Office suite, including Excel , PowerPoint , and Word . What We Offer Salary: