Lead Software Engineer

Hashlist is a platform for projects within the automotive industry.

We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry.

Are you ready to embark on this journey?

We are looking for a Middleware Software Development Lead – Cybersecurity to join a project with a major OEM. In this role, you will design, develop, and integrate middleware layers on high-performance automotive platforms across domains such as body control, infotainment, and instrument clusters. You will work with Adaptive AUTOSAR, QNX/Linux, and RTOS-based systems while embedding cybersecurity and functional safety principles into the software architecture.

Engagement details

• Location: Bengaluru, India (Hybrid)
• Start date: 14 September 2025
• Benefits: Competitive package, international OEM exposure

Responsibilities

• Design, develop, and integrate middleware for SoC-based high-performance compute platforms
• Architect software in SysML/arxml with a focus on cybersecurity and functional safety
• Configure and develop middleware solutions such as Adaptive AUTOSAR
• Translate signal-based designs into service-oriented architectures
• Collaborate with cross-domain teams (infotainment, body electronics, clusters, safety) for seamless middleware integration
• Develop and optimize software for QNX, Linux, and RTOS environments
• Implement secure coding practices and contribute to compliance with automotive cybersecurity standards
• Utilize tools such as Rhapsody, GitHub, Davinci Adaptive, CMake build systems, and unit testing frameworks

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer/Electronics Engineering, or related field
• 8–12 years of embedded software development, preferably in automotive applications
• Strong skills in C++ (C optional) and UML/software design
• Proficiency with OS architectures (QNX, Linux, RTOS)
• Strong understanding of cybersecurity concepts and practices
• Experience with Adaptive AUTOSAR middleware architectures and configuration tools
• Knowledge of communication protocols (CAN, Ethernet)
• Experience with software tools: Rhapsody (or similar), GitHub, Davinci Adaptive, CMake

Preferred:

• Experience on HPCs or SoC-based ECUs
• Experience with Linux/QNX embedded systems
• Familiarity with fast-paced, Agile environments

Next Steps:

1. Click Apply.
2. We will review your application.
3. If qualified, you’ll be accepted into the Hashlist network and considered for this and other relevant projects. and similar projects