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About the role
ADAS Embedded Software Engineer Automotive Cybersecurity (AUTOSAR | Camera ECU) Immediate Joiners are preferred We are looking for an experienced ADAS Embedded Software Engineer with strong expertise in Automotive Cybersecurity to contribute to Camera ECU software development for a global automotive program. The ideal candidate should have hands-on experience in designing and implementing secure embedded software, AUTOSAR development, and the complete software development lifecycle following ASPICE (SWE.1SWE.6) standards. Candidates should have strong implementation experience in one or more of the following: Secure Communication Secure OTA (Over-the-Air Updates) Secure Boot Hardware Security Module (HSM) Ethernet Security using TLS Secure Debug Authentication using X.509 Certificates ECU Security Architecture Key Management Automotive Cybersecurity (ISO 21434 exposure preferred) Candidates with strong implementation experience in automotive security featuresnot just integrationwill be highly preferred. Key Responsibilities Analyze customer and system software requirements. Perform Software Requirements Analysis (ASPICE SWE.1). Develop software architecture and detailed software design (SWE.2 & SWE.3). Develop AUTOSAR-based embedded software in Embedded C for ADAS Camera ECU platforms. Implement software units and integrate software components (SWE.4). Execute software qualification and integration testing (SWE.5 & SWE.6). Design and execute test cases using CAPL and Python. Collaborate with cross-functional global engineering teams. Participate in Agile/Scrum ceremonies and DevSecOps-based development workflows. Follow automotive cybersecurity best practices throughout the software lifecycle. Mandatory Technical Skills 37 years of experience in Embedded Software Development. Strong Embedded C programming skills. Hands-on AUTOSAR development experience. Good understanding of ADAS systems and ECU architecture. Experience with ASPICE Software Engineering processes (SWE.1SWE.6). Experience in software testing using CAPL and Python. Linux development environment. Agile/Scrum development experience. Good analytical and communication skills. .