LIN Jobs

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)

SAP ABAP S4 HANA Technical Consultant (Finance & Controlling)

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP ABAP S4 HANA Technical Consultant specializing in Finance and Controlling to join our dynamic team. This is a hybrid role requiring a blend of on-site and remote work. The ideal candidate will possess a strong technical foundation in SAP , with a particular focus on S4 HANA , and a deep understanding of Finance and Controlling modules. This role demands a proactive individual capable of independently tackling complex technical challenges and collaborating effectively with Functional Teams . Key Responsibilities The SAP ABAP S4 HANA Technical Consultant will be responsible for the design, development, and implementation of SAP solutions within the Finance and Controlling areas. This includes, but is not limited to, the creation and maintenance of RICEF Objects , Reports , Interfaces , Conversions , Enhancements , and Forms . The role also involves ensuring S/4HANA Compatibility and performing Performance Optimization on existing SAP code. Required Skills & Qualifications SAP ABAP : Extensive experience in SAP ABAP development, including Object Oriented ABAP and AMDP . S4 HANA : Proven ability to develop and implement solutions within the S4 HANA environment. Finance & Controlling : A thorough understanding of Finance and Controlling principles and their application within SAP , including FI , GL , Accounts Payable (AP) , Accounts Receivable (AR) , Asset Accounting (AA) , Bank Accounting , Treasury Management , Taxation , Cost Center Accounting , Profit Center Accounting , Internal Orders , Product Cost Controlling , CO PA , Credit Management , Financial Closing , Financial Reporting , and Intercompany Accounting . RICEF Objects : Expertise in the creation and modification of RICEF Objects (Reports, Interfaces, Conversions, Enhancements, and Forms). CDS Views & OData Services : Proficiency in developing CDS Views and OData Services for data retrieval and integration. APIs : Experience with APIs for seamless system integration. Workflows : Ability to design and implement Workflows to automate business processes. Impact Analysis & Root Cause Analysis : Strong analytical skills to perform Impact Analysis and Root Cause Analysis to resolve technical issues. Technical Troubleshooting : Excellent Technical Troubleshooting skills to identify and resolve SAP system errors. Data Migration : Experience with Data Migration processes and tools. System Integration : Ability to integrate SAP with other systems. Performance Optimization : Skills in Performance Tuning to optimize SAP system performance. Code Reviews : Ability to conduct and participate in Code Reviews to ensure code quality and adherence to SAP Development Standards . Unit Test Scripts : Experience in creating and executing Unit Test Scripts . Technical Documentation : Ability to create clear and concise Technical Documentation . Release Management & Hypercare : Familiarity with Release Management processes and Hypercare support. Basis & Security : Understanding of Basis and Security concepts within SAP . Debugging : Proficient in Debugging SAP code. Analytical Skills : Strong Analytical Skills to analyze complex data and identify trends. Problem-Solving Skills : Excellent Problem-Solving Skills to resolve technical challenges effectively. Communication Skills : Effective Communication Skills to collaborate with Functional Teams and communicate technical information clearly. Familiarity with Enhancement Framework , BADI , User Exits , BTE , BRF+ , ALV Reports , Background Jobs , Financial Interfaces , Bank Interfaces , Payment Interfaces , Journal Entry Upload Programs , Asset Upload Programs , Tax Reports , and Treasury Interfaces . Experience Required : 8 - 15 years of experience in SAP ABAP development, with a focus on Finance and Controlling modules. We are seeking a senior-level consultant capable of working independently and mentoring junior team members. What We Offer Salary: 26 LPA

Mechanical Design – CAD Modeling & Drafting

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and detail-oriented Mechanical Design professional with a focus on CAD modeling and drafting . This role will be integral to our Mechanical Design team, contributing to the development and refinement of designs for a variety of projects. The position requires an onsite presence. Key Responsibilities The Mechanical Design – CAD Modeling & Drafting role will be responsible for creating and maintaining detailed CAD models and technical drawings. This includes collaborating with stakeholders to understand design requirements and translating those requirements into accurate and manufacturable designs. The role will also involve ensuring adherence to established design standards and best practices. Required Skills & Qualifications Educational Background: A Bachelor of Engineering (BE) in Mechanical Engineering is required. CAD Modeling Proficiency: Demonstrated expertise in creating detailed CAD models using industry-standard software, specifically SolidWorks and Creo Parametric . Engineering Drafting: Strong skills in Engineering drafting , including the creation of detailed technical drawings for manufacturing and assembly. PLM Integration: Experience with PLM integration , particularly utilizing Enovia , to manage and control design data. Communication Skills: Excellent Stakeholder communication skills, with the ability to effectively communicate design concepts and technical information to both technical and non-technical audiences. Technical Expertise: A solid understanding of electrotechnical cooling principles and experience in data-center thermal management . Industry Experience: Prior experience with EV system experience is highly desirable. Experience Required: This position requires 4-6 years of relevant professional experience in mechanical design, demonstrating a proven ability to manage complex design projects and collaborate effectively within a team environment. We are seeking a candidate with a strong foundation in mechanical engineering principles and a commitment to delivering high-quality design solutions. What We Offer Salary: Not specified.

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: