Autosar Jobs in Bengaluru

Job/Position Summary We are hiring for Adaptive AUTOSAR Subject Matter Expert Job Location Pune & Bangalore Experience 10+ Yrs Skills Required Proficient in C, C++ and Python programming languages. Experience in AUTOSAR Architecture Expertise in Linux, Azure DevOps, Cybersecurity, Docs-as-code, Git. Expertise in TPM - Trusted Platform Module and secure coding practices. Knowledge in ASPICE process, automation, microcontrollers. Work experience in Automotive domain industry is mandatory. Hands on experience on Communication protocol like CAN, LIN or Ethernet. Able to Mentor & Coach Junior Engineers. Requirement ESSENTIAL SKILLS /COMPETENCIES C++ Adaptive AUTOSAR CAN/LIN/Ethernet SIL Virtualization PREFFERED SKILLS /COMPETENCIES QEMU

Job/Position Summary Experience: 4+ Years of hands-on experience in automotive software developement & Testing background Preffered Skills - VECU, QEMU Mandatory Skills: 1.Virtualization, SIL Testing, Autosar(Classice & Adaptive) and ASPCE Knowladge 2.Unit testing, integration testing, software qualification testing and system testing 3.Protocols - CAN,LIN, Ethernet, SOMEIP, DOIP 4.Tools - dSPACE, CANoe, Lauterbach, vFlash,Trace 32 5.Programming languages - C,C++, python Qualifications: Education: Bachelor s or Master s degree in Computer Science, Electrical Engineering, Embedded Systems, or a related field. Requirement ESSENTIAL SKILLS /COMPETENCIES SIL Embedded C/C++ coding Classic or Adaptive AUTOSAR Ethernet/CAN/LIN Virtual Machine PREFFERED SKILLS /COMPETENCIES QEMU VECU

Technical Project Manager Location: Bangalore Experience: 7 10 Years Education: B.E / B.Tech / M.E / M.Tech (Electronics, Electrical, Computer Science, or related field) Job Summary We are looking for a Technical Project Manager with a strong background in embedded software development, preferably within the automotive domain, to lead cross-functional teams and manage full-cycle project execution. The ideal candidate will be hands-on, highly organized, and experienced in SDLC methodologies such as ASPICE, CMMI, or similar standards. This role requires a blend of technical acumen and project management expertise to drive delivery excellence and ensure high-quality outcomes. Key Responsibilities Project Management Lead and manage end-to-end embedded software projects. Define project scope, timelines, milestones, and deliverables. Manage project estimation, planning, resource allocation, and tracking. Ensure adherence to project management best practices, including Agile or Waterfall methodologies as applicable. Quality & Compliance Ensure projects comply with quality standards such as ASPICE, CMMI, or equivalent. Facilitate regular audits, reviews, and assessments to meet compliance objectives. Technical Oversight Support embedded software teams through planning, design, development, testing, and deployment phases. Provide guidance on programming practices, particularly in C language, and software testing methodologies. Risk & Change Management Identify, assess, and manage project risks proactively. Drive structured change management and configuration control processes throughout the project lifecycle. Team Leadership & Communication Build, lead, and motivate cross-functional project teams. Act as the primary point of contact between engineering, quality assurance, and leadership. Ensure timely and transparent communication across all stakeholders. Required Skills & Experience 7 10 years of experience in embedded software development, including 3+ years in a project management or technical leadership role. Strong understanding of Software Development Life Cycle (SDLC) processes. Hands-on experience with programming in C and embedded systems. Familiarity with software testing strategies, unit testing, and integration testing. Proactive communication, stakeholder engagement, and conflict resolution skills. Proven ability to manage multiple projects and prioritize effectively. Strong team-building and leadership skills. Preferred/Added Advantage Experience in the automotive domain (preferred). Exposure to automotive standards such as AUTOSAR, ISO 26262 is a plus. Experience with project management tools and techniques (e.g., Jira, MS Project, Gantt charts). Be part of an innovative team working on next-generation embedded solutions. Collaborate with global clients and multidisciplinary teams. Gain exposure to best-in-class quality standards and project management frameworks. Competitive compensation and career advancement opportunities. Qualification : B.E / B.Tech / M.E / M.Tech (Electronics, Electrical, Computer Science, or related field)

Job Title: Lead - C++ Development (ADAS) Group: ADAS/AD Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 3 to 7 years About CARIAD (Car, I Am Digital) CARIAD is a cutting-edge automotive software company within the Volkswagen Group, tasked with advancing software competencies and driving innovation in automotive technology. We're building a unified technology platform that includes a vehicle operating system, cloud platform, and a new architecture for all Volkswagen Group brands. With our deep-rooted legacy of automotive excellence, we're on a mission to shape the future of mobility through digitalization. CARIAD India operates under a brand licensing agreement with Germany-based CARIAD SE. As part of the global CARIAD team, you'll be surrounded by over 6,000 skilled professionals, including 360 experts in India, all working on some of the most innovative automotive technologies available today. Job Description We are looking for a talented Lead C++ Developer with a strong background in C++ programming and an interest or experience in ADAS (Advanced Driver Assistance Systems). The role involves developing and maintaining platform components like firmware, boot loaders, AUTOSAR, and Linux/QNX BSP, along with service-oriented architecture-based middleware components. Key Responsibilities: Develop high-quality, efficient, and reliable C++ code for ADAS-related platforms. Work with modern C++ features (C++11, C++14) to build and optimize software solutions. If experience with modern C++ is limited, leverage legacy C++ skills for efficient development. Collaborate in developing components for ADAS, contributing to an advanced automotive platform. Participate in the full software development lifecycle, from analysis and design to development and deployment. Ensure efficient version control using tools like GIT. Develop and test code in Unix-based environments (Linux, Ubuntu, UNIX), optimizing performance and reliability. Required Skills and Experience: 3 to 7 years of hands-on C++ development experience. Experience working with modern C++ features (preferably C++11 and C++14). Solid experience with legacy C++ if experience with modern C++ is lacking. Experience with ADAS is highly preferred. Proficiency in source control systems like GIT. Strong understanding and experience with Unix-based operating systems (Linux, Ubuntu, UNIX) is preferred. Strong problem-solving skills and ability to work in a collaborative, agile environment. Innovative Work Environment: Be a part of an automotive software company at the forefront of technological innovation. Career Growth: Work alongside experienced experts globally and continuously develop your skills. Cutting-Edge Projects: Contribute to the development of future-proof automotive platforms and technologies. Global Team: Work with a team of highly skilled professionals across the globe, contributing to the future of mobility. About CARIAD India: CARIAD India offers a dynamic work culture with opportunities to engage in some of the most exciting and progressive automotive mobility projects. As part of the global CARIAD family, you ll help shape the future of the automotive industry while enhancing your own career path.

Job Title: ACP - Senior Technical Lead / Technical Lead, Diagnostics Group: ACP Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 11 years About CARIAD (Car, I Am Digital) CARIAD is a forward-thinking automotive software company within the Volkswagen Group. We are working to enhance the software capabilities of the Group and shape the future of automotive technology. Our mission includes developing a unified technology and software platform, which integrates vehicle operating systems, cloud platforms, and architectures for all Volkswagen Group brands. CARIAD India operates under a brand licensing agreement with Germany-based CARIAD SE, contributing to automotive mobility transformation. Joining CARIAD means working in an innovative, collaborative environment alongside over 6,000 professionals globally. Job Description We are seeking a Senior Technical Lead / Technical Lead, Diagnostics to work on Adaptive AUTOSAR-based products and solutions. In this role, you will be responsible for designing, configuring, integrating, and testing diagnostics solutions for automotive systems. As a technical leader, you will guide teams, resolve complex technical problems, and drive the successful delivery of embedded automotive solutions. You will collaborate with Software Product and Solution Architects to create software architecture tailored for the diagnostics area. Key Responsibilities: Software Architecture & Design: Collaborate with architects to create the software architecture for diagnostics solutions within an Adaptive AUTOSAR-based product or solution. Technical Leadership: Provide technical leadership for projects, resolve technical challenges, and guide teams to meet project requirements on complex embedded automotive systems. Project Planning: Assist in providing work-breakdown structures and effort estimations for project planning. Diagnostics Integration: Hands-on experience in configuring, integrating, and testing diagnostics solutions in the automotive domain. Team Guidance: Lead or support a team of engineers in solving technical challenges and ensuring efficient delivery. Collaboration: Work with cross-functional teams, including software architects, system engineers, and quality assurance teams, to ensure diagnostics solutions are integrated seamlessly. Problem Solving: Use strong analytical skills to troubleshoot and resolve issues during development and testing phases. Primary Skills / Qualities: Expertise in Diagnostics: Strong domain knowledge in automotive diagnostics, particularly within the context of Adaptive AUTOSAR architecture and methodologies. AUTOSAR Experience: Proven experience with AUTOSAR-based automotive ECUs, especially Adaptive AUTOSAR. C++ Programming: Minimum 5 years of hands-on experience with C++ (14, 17, 20) programming, including expertise in function and class templates, design patterns (e.g., Factory, Observer, Singleton), and multithreading mechanisms (e.g., std::thread, std::async, future/promise). Embedded Systems: Experience with operating systems such as QNX (preferred), Linux, or Android, particularly in automotive embedded systems. Diagnostic Module Development: Proven experience developing and deploying Adaptive Diagnostic Modules. Debugging Skills: Hands-on experience with debugging tools such as Lauterbach/Trace32 and GDB. Basic Scripting Knowledge: Familiarity with Python or other scripting languages. Analytical Skills: Strong problem-solving and analytical thinking capabilities to address complex technical challenges. Good to Have: Effort Estimation: Familiarity with effort estimation techniques to improve planning and execution accuracy. Networking Knowledge: Exposure to TCP/IP configuration (ifconfig, route, bridge, VLAN, etc.). Build Systems: Experience with build systems like Make, CMake, or Bazel. Signal-Based Communication: Knowledge of communication protocols such as CAN, LIN, FlexRay, Ethernet, and SOME/IP. Middleware Experience: Familiarity with communication middleware such as REST, DDS, SOME/IP, ARA::COM, MQTT, gRPC. Functional Safety / Cybersecurity: Knowledge of functional safety standards or cybersecurity in automotive systems. Conference Participation: Experience presenting at conferences, participating in seminars, filing patents, or publishing papers. ASPICE Knowledge: Familiarity with ASPICE (Automotive SPICE) processes and standards. Innovative Environment: Be part of a company that is revolutionizing automotive technology and driving digital transformation across the Volkswagen Group. Career Growth: Grow your career by working with world-class experts and contributing to the development of cutting-edge automotive technologies. Impactful Work: Take on exciting and impactful projects that will shape the future of mobility and automotive diagnostics. Collaborative Culture: Join a diverse, skilled team of engineers who thrive on collaboration and innovation. About CARIAD India: CARIAD India offers a dynamic work culture with opportunities to work on some of the most advanced and innovative projects in the automotive sector. As part of the global CARIAD team, you ll be contributing to the digitalization of the automotive industry while advancing your own career in a cutting-edge environment.

Job Title: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Position Responsibilities: 1. Risk and Threat Assessments: Conduct comprehensive risk and threat assessments for L3 Autonomous Driving (AD) systems. Perform analyses like TARA (Threat Analysis and Risk Assessment) and MORA (Misuse-Oriented Risk Analysis). 2. Security Design and Development: Redesign modules focusing on cybersecurity. Develop and implement security features, including SecOC (Secure Onboard Communication) and CSM (Cybersecurity Management). Drive compliance with cybersecurity regulations and standards. 3. System and Requirements Architecture: Analyze and define security requirements for AD L3 systems. Collaborate with E/E system architects for security improvements. Develop and refine business, system, and architecture requirements. 4. Support and Coordination: Assist with the development of ECU software for L3 autonomous driving. Provide integration support and troubleshooting for ECUs. Coordinate internal and external assessments, including penetration tests and security evaluations. 5. Cybersecurity Analysis and Implementation: Develop security concepts and conduct analyses like FTA (Fault Tree Analysis) and FMEA (Failure Modes and Effects Analysis). Ensure adherence to regulations such as ISO 21434, UNECE R155, and UNECE R156. Required Skills and Competencies: Essential Skills: Strong expertise in automotive cybersecurity and relevant regulations (ISO 21434, UNECE R155/R156). Knowledge of L3 Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS). Hands-on experience with Automotive ECUs, secure bootloaders, and gateway modules. Proficiency in C/C++ programming and working knowledge of AUTOSAR and its configuration tools. Familiarity with cybersecurity analysis tools like Medini or equivalent. Expertise in in-vehicle networks (e.g., CAN Protocol, UDS Protocol) and V2X technologies. Understanding of cybersecurity best practices, secure development requirements, and IT security standards. Experience with threat management models, firewalls, and embedded software components. Knowledge of security mechanisms, protocols, cryptography, and authentication systems. Preferred Skills: Strong background in ADAS and autonomous driving technologies. Experience in intrusion detection, incident response, and computer forensics. Familiarity with requirements management tools (e.g., DOORS, codeBeamer, JAMA). Hands-on experience in product development lifecycle and automotive cybersecurity. Educational Qualifications and Experience: Essential: Bachelor s or Master s degree in Information Security, Computer Science, Electrical Engineering, or related fields. Minimum of 4+ years of relevant experience in the automotive industry (AD/ADAS or autonomous driving). Preferred: Expertise in cybersecurity standards, analysis, and threat management tools. Key Competencies and Tools: Cybersecurity Standards: ISO 21434, UNECE R155/R156. Risk Assessment Techniques: TARA, MORA. Analysis Tools: Medini, FTA, FMEA. Software Tools: AUTOSAR, SAP, C/C++ programming, Requirements Management Tools (DOORS, JAMA). Protocols and Technologies: CAN, UDS, V2X. Qualification : Bachelors or Masters degree in Information Security, Computer Science, Electrical Engineering, or related fields.