CO Jobs in Bangalore

CAE Analyst Closures

SACHA Engineering•

Chennai

•full time

Have good knowledge in Abaqus, Nastran, LSDyna,NCode, Ansa, Altair Hyper works tools. Have good knowledge Closures systems and its functional requirements. Able to run baseline CAE Closures analysis, summarize results and feedback conclusions to customers in an efficient manner.Able to carry out Closures strength & fatigue analysis .Able to work effectively with design teams to develop solutions within defined deadlines and time constraints.Participate in developing action plans and solutions for critical issues. Responsible for the verbal and written communication with the customers. Responsible for successfully delivering projects without any issues.

Embedded Engineer

RLE India Private Limited•

Bengaluru

+1 More

Other Locations1 cities

Pune

•full time

Job Summary We are seeking a skilled and motivated Embedded Engineer to join our growing team. This role will be focused on developing and integrating embedded systems, specifically within the Android Automotive domain. The ideal candidate will possess a strong understanding of embedded Linux, Android development, and experience with board bring-up and debugging. This is an onsite position. Key Responsibilities The Embedded Engineer will be responsible for the full lifecycle of embedded systems development, from initial concept and design to implementation, testing, and integration. This includes working closely with cross-functional teams to ensure seamless integration of hardware and software components. Required Skills & Qualifications Android Embedded Development: Demonstrated proficiency in developing applications and system components for embedded Android platforms. Android OS: A thorough understanding of the Android operating system architecture and its underlying principles. Yocto: Experience utilizing 1 Yocto Project for building and customizing embedded Linux distributions. BSP Development: Ability to develop and maintain Board Support Packages (BSPs) , including kernel configuration and device driver integration. BSP Integration: Skill in integrating BSPs with hardware platforms and ensuring proper functionality. Embedded Linux: Strong knowledge of Embedded Linux operating systems and their application in embedded devices. Board bring-up: Experience with the process of bringing up new hardware platforms, including initial configuration and testing. Debugging: Proven ability to effectively debug and troubleshoot embedded systems, utilizing various debugging tools and techniques. Android Framework: Familiarity with the Android Framework and its components, including the ability to customize and extend its functionality. System Components: Understanding of core system components within Android and their interactions. Device Configurations: Ability to configure and optimize device configurations for embedded Android platforms. Product Development: Experience participating in the full product development lifecycle, from concept to release. Integration: Skill in integrating various hardware and software components into a cohesive system. Android Automotive: Specific experience with Android Automotive platforms and their unique requirements. Automotive Domain: A general understanding of the automotive domain and its specific challenges. C/C++: Proficiency in C/C++ programming languages for embedded systems development. Kernel: Solid understanding of kernel architecture and its role in embedded systems. Device Drivers: Experience developing and integrating device drivers for various hardware peripherals. HAL: Knowledge of Hardware Abstraction Layer (HAL) and its role in decoupling hardware from software. Git: Proficiency in using Git for version control and collaborative development. Bsp: Familiarity with Bsp concepts and best practices. Android: Comprehensive knowledge of the Android operating system and its ecosystem. Experience Required: 3 - 5 years of experience in embedded systems development. This level of experience indicates a candidate who can work independently, solve complex problems, and contribute significantly to the team's success. A Bachelor’s degree is expected. What We Offer Salary: 15 LPA - 18 LPA

Software Engineer – Backend

Be limitless•

Bengaluru

•full time

Job Summary We are seeking two Software Engineer – Backend professionals to join our growing team in Bengaluru. This is a full-time position within the IT / Technology industry. The ideal candidate will possess a strong foundation in backend development principles and a passion for building scalable and robust systems. Key Responsibilities While specific responsibilities will evolve with project needs, the Software Engineer – Backend will be expected to contribute to the full software development lifecycle, from design and implementation to testing and deployment. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications To be successful in this role, candidates must demonstrate proficiency in the following areas: Python : Demonstrated ability to write clean, efficient, and well-documented Python code. Django : Experience building web applications using the Django framework, including understanding of its core concepts and best practices. Django REST Framework : Ability to design and implement REST APIs using Django REST Framework , ensuring adherence to industry standards. PostgreSQL : Strong understanding of relational database principles and experience working with PostgreSQL , including schema design, query optimization, and data integrity. REST APIs : Comprehensive knowledge of REST APIs , including design principles, implementation techniques, and best practices for building scalable and maintainable APIs. Git : Proficiency in using Git for version control, including branching, merging, and resolving conflicts. Docker : Experience containerizing applications using Docker , including creating Docker files and managing Docker images. Kubernetes : Familiarity with Kubernetes for container orchestration, including deploying and managing applications in a Kubernetes cluster. AI/ML APIs : Understanding of AI/ML APIs and experience integrating them into backend systems. Software Development Principles : Solid understanding of fundamental Software Development Principles , including object-oriented programming, design patterns, and code maintainability. Analytical Skills : Ability to analyze complex problems, identify root causes, and develop effective solutions. Problem-Solving Skills : Demonstrated ability to troubleshoot and resolve technical issues efficiently and effectively. Communication Skills : Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Qualifications : A Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field is required. Experience Required : 1 - 3 years of experience in backend software development. This level of experience indicates a candidate who is capable of working independently and contributing meaningfully to a team, while still having opportunities for growth and learning. What We Offer Salary : 6 LPA - 10 LPA

Scrum Master

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Scrum Master to join our dynamic team in Pune. This role is crucial for ensuring the successful delivery of high-quality software solutions through the effective application of Agile principles and practices. The ideal candidate will possess a strong understanding of the software development lifecycle and a proven ability to facilitate Scrum events and remove impediments for development teams. Key Responsibilities The Scrum Master will be responsible for guiding and coaching development teams on the use of Scrum , ensuring they adhere to Agile values and principles. This includes facilitating Scrum ceremonies, such as sprint planning, daily Scrum , sprint review, and sprint retrospective. The role also involves identifying and removing impediments that hinder the team's progress, fostering a collaborative and self-organizing environment. Required Skills & Qualifications Understanding of Software Development Lifecycle (SDLC): A comprehensive understanding of the various phases of the software development lifecycle, from inception to deployment and maintenance. Agile Engineering Practices: Demonstrated proficiency in Agile methodologies, particularly Scrum , and the ability to coach teams on their effective implementation. Common Engineering Workflows: Familiarity with standard engineering workflows, including version control, code review, and continuous integration. Web Application Technologies: Knowledge of technologies used in web application development, including Angular . Mobile Application Technologies: Understanding of technologies used in mobile application development. Desktop Application Technologies: Understanding of technologies used in desktop application development, including C# , .NET , and WPF . Ability to Work with Technical Leads: Proven ability to collaborate effectively with technical leads to ensure alignment on technical direction and execution. DevOps Tools & Workflows: Experience with DevOps tools and workflows, including CI/CD . Backlog Tools: Proficiency in using Backlog tools such as Jira and Azure Boards to manage product and sprint backlogs. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly and concisely convey technical information to both technical and non-technical audiences. English: Fluency in English, both written and spoken. Estimation, Dependencies, Risks: Ability to facilitate discussions and guide teams in estimating tasks, identifying dependencies, and assessing risks. Metrics: Understanding of key Scrum metrics, including Velocity , Burndown , and Flow Efficiency . Scrum Artifacts: Deep understanding of Scrum artifacts, including the Product Backlog , Sprint Backlog , and Increment . Technical Execution & Craftsmanship: Appreciation for Technical Craftsmanship principles, Clean Code , and Maintainability . Testing Approach & System Stability: Understanding of testing approaches and their impact on System Stability . System Integration Concepts: Knowledge of API and Cloud concepts and System Integration concepts. Experience Required: The ideal candidate will have 4-6 years of experience in a related role, demonstrating a solid foundation in software development and Agile practices. This level of experience is expected to provide a strong understanding of team dynamics and the ability to effectively facilitate Scrum events and remove impediments. What We Offer Salary:

CAE Analyst - II

SACHA Engineering•

Chennai

•full time

Able to handle closures system loadcases independently. Able to run baseline CAE Closures analysis, summarize results and feedback conclusions to customers in an efficient manner.Able to carry out Closures strength & fatigue analysis. Able to work effectively with design teams to develop solutions within defined deadlines and time constraints. Participate in developing action plans and solutions for critical issues. Responsible for the verbal and written communication with the customers. Responsible for successfully delivering projects without any issues.

Hardware Design

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced Hardware Design professional to join our team. This role will be responsible for the design and development of hardware solutions, ensuring they meet performance, reliability, and manufacturability requirements. The ideal candidate will possess a strong foundation in electrical engineering principles and a proven ability to translate design concepts into functional hardware. Key Responsibilities This role will involve a range of responsibilities related to the design and validation of hardware components and systems. The candidate will be expected to contribute to the entire hardware development lifecycle, from initial concept to production release. Required Skills & Qualifications B.E./B.Tech/B.Sc or M.E./M.Tech/M.Sc in Electrical Engineering : A foundational degree in Electrical Engineering is required, demonstrating a strong understanding of electrical engineering principles and practices. Electrical Engineering : A deep understanding of electrical engineering principles, including circuit theory, electromagnetics, and signal processing, is essential. Hardware Engineering : Demonstrated experience in hardware design and development, with a focus on creating robust and reliable hardware solutions. Schematic Capture : Proficiency in creating detailed and accurate schematics using industry-standard tools, ensuring clear documentation of circuit designs. PCB Layout Design : Expertise in designing printed circuit boards ( PCB s) that optimize signal integrity, thermal management, and manufacturability. Circuit Simulation : Ability to utilize circuit simulation tools to analyze and optimize circuit performance before physical implementation. PCB Design : Comprehensive knowledge of PCB design principles, including layer stack-up, trace routing, and component placement. Testing : Experience in designing and executing hardware testing plans to validate functionality and identify potential issues. Manufacturing : Understanding of manufacturing processes and design for manufacturability (DFM) principles. Problem Solving : Strong analytical and problem-solving skills to effectively troubleshoot hardware issues and identify root causes. Communication Skills : Excellent written and verbal communication skills to effectively collaborate with cross-functional teams. Analytical Skills : Ability to analyze complex data and draw meaningful conclusions to inform design decisions. LTE : Knowledge of Long-Term Evolution ( LTE ) wireless communication standards and their implementation in hardware. Wi-Fi : Familiarity with Wi-Fi wireless communication protocols and their integration into hardware designs. GNSS : Understanding of Global Navigation Satellite Systems ( GNSS ) and their application in hardware solutions. BLE : Experience with Bluetooth Low Energy ( BLE ) technology and its implementation in hardware. CAN : Knowledge of Controller Area Network ( CAN ) communication protocol and its use in automotive and industrial applications. RS-485 : Familiarity with the RS-485 serial communication standard and its application in hardware designs. SPI : Understanding of Serial Peripheral Interface ( SPI ) protocol and its implementation in hardware. I2C : Knowledge of Inter-Integrated Circuit ( I2C ) protocol and its application in hardware designs. Relays : Experience in designing and integrating relay circuits into hardware systems. Power Supply Circuits : Expertise in designing and implementing efficient and reliable power supply circuits. Micro-Controller Design : Experience in designing and integrating micro-controllers into hardware systems. Sensing Circuits : Ability to design and implement circuits for various types of sensors. VCU : Understanding of Vehicle Control Unit ( VCU ) functionality and integration with hardware components. BMS : Knowledge of Battery Management System ( BMS ) principles and their application in hardware designs. Chargers : Experience in designing and implementing charging circuits for various battery types. Power-Train : Familiarity with power-train systems and their integration with hardware components. Instrument Clusters : Understanding of instrument cluster design and integration with hardware components. RCA : Ability to perform Root Cause Analysis ( RCA ) to identify and resolve hardware issues. Experience Required: The ideal candidate will possess a minimum of 10-18 years of relevant experience in hardware design and development. This level of experience indicates a high degree of proficiency and the ability to lead complex hardware projects. What We Offer Salary: Work Mode: Onsite

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

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: