Adaptive Autosar Integration Engineer

7 - 12 years

20 - 30 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Project Lead Adaptive Platform Integrator

Location: Bangalore/Pune

Employment Type: Full-Time

Department: Embedded Systems / Automotive Software

Role Overview

We are seeking a technically adept and delivery-focused Project Lead to drive integration and performance optimization of Adaptive AUTOSAR platforms. This role demands deep expertise in functional clusters, real-time performance analysis using QNX Momentics, memory diagnostics with Valgrind, and robust testing strategies for high-assurance automotive systems.

Key Responsibilities

  • Lead Integration of Adaptive AUTOSAR platforms across multiple ECUs and domains
  • Oversee configuration and deployment of Adaptive functional clusters (e.g., Communication Management, Execution Management, Persistency, Update and Configuration Management, Platform Health management, Cryptography, Time Sync, Diagnostics, State Management etc..)
  • Manage MW configurations for data exchange.
  • Performance profiling and optimization using QNX Momentics tools
  • Conduct memory leak detection and profiling using Valgrind and other diagnostic tools
  • Define and execute testing strategies for integration, system, and performance validation
  • Ensure compliance with automotive standards (ISO 26262, ASPICE, ISO/SAE 21434)
  • Collaborate with cross-functional teams including software architects, safety engineers, and cybersecurity experts
  • Drive project planning, milestone tracking, and stakeholder communication

Required Qualifications

  • Bachelor’s or Master’s degree in Electronics, Computer Science, or related field
  • 6- 8 years of experience in automotive embedded software, with 3+ years in Adaptive AUTOSAR integration
  • Strong understanding of Adaptive AUTOSAR architecture and functional clusters
  • Hands-on experience with any of the configuration tools and stack like Vector Davinci
  • QNX Momentics for performance analysis and debugging
  • Proficiency in C++, Python and scripting, and memory profiling tools like Valgrind
  • Hands on experience with POSIX compliant systems like Linux, QNX including Multi-threading and IPC
  • Experience with CI/CD pipelines and DevOps practices in embedded environments
  • Proven leadership and project management skills with Agile/Scrum methodologies

Preferred Skills

  • Knowledge of high-performance computing platforms (e.g., Renesas R-Car, NVIDIA)
  • Experience with service-oriented architecture and Ethernet-based communication
  • Certification in PMP or equivalent project management frameworks

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