Principal Engineer - Autosar and Adas Platforms

Aufgaben Job Requirement Principal Engineer – AUTOSAR & ADAS Platform Architecture Automotive Embedded Software | Classic & Adaptive AUTOSAR | ADAS Systems | QNX/Linux | Platform Architecture Role Snapshot Job Title Principal Engineer – AUTOSAR & ADAS Platform Architecture Location Bengaluru, India Experience 12+ years in Automotive Embedded Software Employment Focus End-to-end architecture and technical leadership across Classic AUTOSAR, Adaptive AUTOSAR, ADAS platforms, and QNX/Linux-based automotive systems Target Level Senior Engineer / Technical Lead / Principal Engineer Role Overview We are seeking a highly experienced Principal Engineer – AUTOSAR & ADAS Platform Architecture to define and drive software architecture for next-generation automotive ECU and high-performance compute platforms.

The candidate will provide technical leadership across Classic AUTOSAR and Adaptive AUTOSAR, ADAS system integration, communication middleware, and QNX/Linux-based platforms, working with system architects, platform teams, diagnostics, safety, cybersecurity, and feature-development teams to deliver scalable, reusable, and ASPICE-compliant solutions.

Key Responsibilities. Architecture Definition and Technical Leadership

• Define the end-to-end software architecture and technical roadmap for next-generation ECU and high-performance compute platforms spanning Classic AUTOSAR, Adaptive AUTOSAR, ADAS applications, middleware, and QNX/Linux.
• Establish reference architectures, design principles, reusable platform services, interface contracts, and deployment patterns aligned with product-line and software-defined vehicle strategies.
• Lead architecture trade-off studies covering performance, safety, security, scalability, maintainability, cost, and time-to-market.
• Provide technical direction to cross-functional engineering teams, suppliers, and stakeholders throughout design, implementation, integration, validation, and release. Classic and Adaptive AUTOSAR Architecture
• Architect Classic AUTOSAR solutions across MCAL, BSW, RTE, complex device drivers, communication, diagnostics, memory, security, and operating-system services.
• Define Adaptive AUTOSAR application and platform-service architecture, including ara::com, execution and state management, diagnostics, persistency, and service-oriented communication.
• Design integration between Classic AUTOSAR ECUs, Adaptive AUTOSAR applications, vehicle networks, cloud services, and non-AUTOSAR components.
• Govern ARXML models, service and signal interfaces, configuration baselines, variant handling, generated artifacts, and change-impact analysis across releases. ADAS and QNX/Linux Platform Integration
• Drive integration of ADAS functions across sensors, diagnostics, vehicle networks, and high-performance compute platforms.
• Define QNX and embedded Linux platform architecture covering boot flow, BSP, device drivers, IPC, scheduling, memory, networking, system services, security, and lifecycle management.
• Guide middleware, POSIX application, container or virtualization, and hardware-acceleration integration while meeting real-time and safety constraints.
• Lead ECU and vehicle bring-up, performance profiling, timing and resource analysis, system debugging, and root-cause resolution using platform traces, network captures, and hardware debuggers. Engineering Governance, Safety, and Release Readiness
• Translate vehicle, system, safety, cybersecurity, and software requirements into architecture decisions, interfaces, technical specifications, and implementation guidance.
• Ensure architectural compliance with ASPICE, ISO 26262, cybersecurity requirements, AUTOSAR standards, OEM guidelines, and internal engineering processes.
• Conduct architecture, design, code, configuration, and supplier-deliverable reviews; identify risks and drive timely closure of technical gaps.
• Own technical release criteria, integration readiness, traceability, defect triage, technical debt management, and architecture conformance across program increments. Validation Strategy and Engineering Excellence
• Define multi-level verification strategies covering unit, integration, interface, platform, fault-injection, performance, regression, and vehicle-level validation.
• Promote CI/CD, automated configuration checks, static analysis, test automation, observability, and measurable quality gates across the software lifecycle.
• Mentor architects and engineers, facilitate technical workshops, and build organizational capability in AUTOSAR, ADAS, QNX/Linux, debugging, and platform engineering.
• Collaborate with product, system, hardware, safety, cybersecurity, validation, and supplier teams to resolve cross-domain issues and deliver robust production solutions. Required Technical Skills Skill Area Must-Have Expertise Good-to-Have Additions Classic AUTOSAR Architecture Strong understanding of BSW, RTE, SWC interaction, ECU extract, ARXML, generated code, and integration workflow. Adaptive AUTOSAR awareness and SDV platform exposure. Adaptive AUTOSAR Architecture Strong knowledge of Adaptive Platform architecture, ara::com, service-oriented communication, execution management, state management, diagnostics, persistency, and platform services. Experience integrating Adaptive applications with Classic AUTOSAR ECUs and cloud-connected SDV platforms. ADAS Systems Knowledge of ADAS system architecture, sensor and actuator interfaces, perception-to-control data flows, vehicle-network integration, diagnostics, safety concepts, and high-performance compute platforms. Exposure to camera, radar, lidar, sensor fusion, middleware, simulation, and vehicle-level validation. QNX/Linux Platforms Hands-on understanding of QNX and embedded Linux architecture, processes and threads, IPC, scheduling, memory management, networking, device drivers, system services, and platform debugging. Experience with POSIX, Yocto, containers or virtualization, boot optimization, performance profiling, and safety-oriented operating-system environments. Communication Stack Deep expertise in COM, PduR, Can. If, Can. Tp, Eth. If, Tcp. Ip, So. Ad, DoIP, and gateway routing. SOME/IP, Service Discovery, VLAN, and Ethernet switch integration. Network Protocols Hands-on experience with CAN, LIN, and Ethernet communication. Flex. Ray, UDS, OBD, SecOC, and Network Management. Programming and Debugging Strong Embedded C, configuration debugging, generated code analysis, and ECU troubleshooting. Groovy/Python scripting and automation for configuration or validation. Tools Vector Da. Vinci Configurator, Da. Vinci Developer, CANoe, CANalyzer, and Git/GitLab. EB tresos, TRACE32, Wireshark, DNG, Rhapsody, Jira, Bazel, CI/CD pipelines. Quality and Process ASPICE work-product understanding for SWE.1 to SWE.6, reviews, traceability, and release discipline. ISO 26262 and cybersecurity stack exposure including SecOC, CSM, and Cry. If. Preferred Tools and Platforms
• Vector Da. Vinci Configurator and Da. Vinci Developer
• Vector CANoe and CANalyzer
• Lauterbach TRACE32
• Wireshark
• EB tresos
• Git, GitLab, Jira, Confluence
• IBM DOORS Next Generation (DNG)
• IBM Rhapsody
• Bazel or comparable build and CI/CD environments Education
• B.E./B.Tech/M.E./M.Tech in Electronics, Electrical, Instrumentation, Computer Science, Automotive Engineering, or related discipline. Desired Competencies
• Strong problem-solving and systematic debugging capability.
• Ability to work effectively with global cross-functional teams, suppliers, and platform stakeholders.
• Excellent communication, technical documentation, and stakeholder management skills.
• Experience working in Agile or SAFe environments.
• Ability to mentor junior engineers and lead technical discussions. Senior-Level Leadership Expectations
• Own the technical vision and reference architecture across Classic AUTOSAR, Adaptive AUTOSAR, ADAS compute platforms, and QNX/Linux-based systems.
• Define scalable software boundaries, interfaces, communication patterns, and integration governance across Classic and Adaptive AUTOSAR domains, ADAS applications, middleware, and operating-system platforms.
• Review supplier deliverables and guide integration teams on gap closure.
• Lead technical reviews, root-cause analysis, and architecture assessments.
• Contribute to organization-wide AUTOSAR competence development and best-practice sharing. Qualifikationen Job Requirement Principal Engineer – AUTOSAR & ADAS Platform Architecture Automotive Embedded Software | Classic & Adaptive AUTOSAR | ADAS Systems | QNX/Linux | Platform Architecture Role Snapshot Job Title Principal Engineer – AUTOSAR & ADAS Platform Architecture Location Bengaluru, India Experience 12+ years in Automotive Embedded Software Employment Focus End-to-end architecture and technical leadership across Classic AUTOSAR, Adaptive AUTOSAR, ADAS platforms, and QNX/Linux-based automotive systems Target Level Senior Engineer / Technical Lead / Principal Engineer Role Overview We are seeking a highly experienced Principal Engineer – AUTOSAR & ADAS Platform Architecture to define and drive software architecture for next-generation automotive ECU and high-performance compute platforms. The candidate will provide technical leadership across Classic AUTOSAR and Adaptive AUTOSAR, ADAS system integration, communication middleware, and QNX/Linux-based platforms, working with system architects, platform teams, diagnostics, safety, cybersecurity, and feature-development teams to deliver scalable, reusable, and ASPICE-compliant solutions. Key Responsibilities. Architecture Definition and Technical Leadership
• Define the end-to-end software architecture and technical roadmap for next-generation ECU and high-performance compute platforms spanning Classic AUTOSAR, Adaptive AUTOSAR, ADAS applications, middleware, and QNX/Linux.
• Establish reference architectures, design principles, reusable platform services, interface contracts, and deployment patterns aligned with product-line and software-defined vehicle strategies.
• Lead architecture trade-off studies covering performance, safety, security, scalability, maintainability, cost, and time-to-market.
• Provide technical direction to cross-functional engineering teams, suppliers, and stakeholders throughout design, implementation, integration, validation, and release. Classic and Adaptive AUTOSAR Architecture
• Architect Classic AUTOSAR solutions across MCAL, BSW, RTE, complex device drivers, communication, diagnostics, memory, security, and operating-system services.
• Define Adaptive AUTOSAR application and platform-service architecture, including ara::com, execution and state management, diagnostics, persistency, and service-oriented communication.
• Design integration between Classic AUTOSAR ECUs, Adaptive AUTOSAR applications, vehicle networks, cloud services, and non-AUTOSAR components.
• Govern ARXML models, service and signal interfaces, configuration baselines, variant handling, generated artifacts, and change-impact analysis across releases. ADAS and QNX/Linux Platform Integration
• Drive integration of ADAS functions across sensors, diagnostics, vehicle networks, and high-performance compute platforms.
• Define QNX and embedded Linux platform architecture covering boot flow, BSP, device drivers, IPC, scheduling, memory, networking, system services, security, and lifecycle management.
• Guide middleware, POSIX application, container or virtualization, and hardware-acceleration integration while meeting real-time and safety constraints.
• Lead ECU and vehicle bring-up, performance profiling, timing and resource analysis, system debugging, and root-cause resolution using platform traces, network captures, and hardware debuggers. Engineering Governance, Safety, and Release Readiness
• Translate vehicle, system, safety, cybersecurity, and software requirements into architecture decisions, interfaces, technical specifications, and implementation guidance.
• Ensure architectural compliance with ASPICE, ISO 26262, cybersecurity requirements, AUTOSAR standards, OEM guidelines, and internal engineering processes.
• Conduct architecture, design, code, configuration, and supplier-deliverable reviews; identify risks and drive timely closure of technical gaps.
• Own technical release criteria, integration readiness, traceability, defect triage, technical debt management, and architecture conformance across program increments. Validation Strategy and Engineering Excellence
• Define multi-level verification strategies covering unit, integration, interface, platform, fault-injection, performance, regression, and vehicle-level validation.
• Promote CI/CD, automated configuration checks, static analysis, test automation, observability, and measurable quality gates across the software lifecycle.
• Mentor architects and engineers, facilitate technical workshops, and build organizational capability in AUTOSAR, ADAS, QNX/Linux, debugging, and platform engineering.
• Collaborate with product, system, hardware, safety, cybersecurity, validation, and supplier teams to resolve cross-domain issues and deliver robust production solutions. Required Technical Skills Skill Area Must-Have Expertise Good-to-Have Additions Classic AUTOSAR Architecture Strong understanding of BSW, RTE, SWC interaction, ECU extract, ARXML, generated code, and integration workflow. Adaptive AUTOSAR awareness and SDV platform exposure. Adaptive AUTOSAR Architecture Strong knowledge of Adaptive Platform architecture, ara::com, service-oriented communication, execution management, state management, diagnostics, persistency, and platform services. Experience integrating Adaptive applications with Classic AUTOSAR ECUs and cloud-connected SDV platforms. ADAS Systems Knowledge of ADAS system architecture, sensor and actuator interfaces, perception-to-control data flows, vehicle-network integration, diagnostics, safety concepts, and high-performance compute platforms. Exposure to camera, radar, lidar, sensor fusion, middleware, simulation, and vehicle-level validation. QNX/Linux Platforms Hands-on understanding of QNX and embedded Linux architecture, processes and threads, IPC, scheduling, memory management, networking, device drivers, system services, and platform debugging. Experience with POSIX, Yocto, containers or virtualization, boot optimization, performance profiling, and safety-oriented operating-system environments. Communication Stack Deep expertise in COM, PduR, Can. If, Can. Tp, Eth. If, Tcp. Ip, So. Ad, DoIP, and gateway routing. SOME/IP, Service Discovery, VLAN, and Ethernet switch integration. Network Protocols Hands-on experience with CAN, LIN, and Ethernet communication. Flex. Ray, UDS, OBD, SecOC, and Network Management. Programming and Debugging Strong Embedded C, configuration debugging, generated code analysis, and ECU troubleshooting. Groovy/Python scripting and automation for configuration or validation. Tools Vector Da. Vinci Configurator, Da. Vinci Developer, CANoe, CANalyzer, and Git/GitLab. EB tresos, TRACE32, Wireshark, DNG, Rhapsody, Jira, Bazel, CI/CD pipelines. Quality and Process ASPICE work-product understanding for SWE.1 to SWE.6, reviews, traceability, and release discipline. ISO 26262 and cybersecurity stack exposure including SecOC, CSM, and Cry. If. Preferred Tools and Platforms
• Vector Da. Vinci Configurator and Da. Vinci Developer
• Vector CANoe and CANalyzer
• Lauterbach TRACE32
• Wireshark
• EB tresos
• Git, GitLab, Jira, Confluence
• IBM DOORS Next Generation (DNG)
• IBM Rhapsody
• Bazel or comparable build and CI/CD environments Education
• B.E./B.Tech/M.E./M.Tech in Electronics, Electrical, Instrumentation, Computer Science, Automotive Engineering, or related discipline. Desired Competencies
• Strong problem-solving and systematic debugging capability.
• Ability to work effectively with global cross-functional teams, suppliers, and platform stakeholders.
• Excellent communication, technical documentation, and stakeholder management skills.
• Experience working in Agile or SAFe environments.
• Ability to mentor junior engineers and lead technical discussions. Senior-Level Leadership Expectations
• Own the technical vision and reference architecture across Classic AUTOSAR, Adaptive AUTOSAR, ADAS compute platforms, and QNX/Linux-based systems.
• Define scalable software boundaries, interfaces, communication patterns, and integration governance across Classic and Adaptive AUTOSAR domains, ADAS applications, middleware, and operating-system platforms.
• Review supplier deliverables and guide integration teams on gap closure.
• Lead technical reviews, root-cause analysis, and architecture assessments.
• Contribute to organization-wide AUTOSAR competence development and best-practice sharing.