Responsibilities:
- Lead end-to-end automotive ECU software architecture and AI-assisted AUTOSAR migration across Brake, Steering, Transmission, HVAC, and Implement ECUs.
- Define ECU application software architecture (AUTOSAR Classic/Adaptive).
- Decide migration strategy (Code-first / Model-first / Hybrid).
- Define AI-assisted automation boundaries.
- Review architecture, refactored code, models, and ARXML.
- Interface with OEM architects and safety teams.
- Define quality gates across architecture, migration, and validation.
- Frequently collaborate with cross-functional teams to support and define effective migration of software along with testing.
- Actively participate in all relevant technical discussions and events.
- Travel as required.
Requirements:
- B.E./B.Tech/M.Sc. in Electrical/Electronic Engineering, Computer Science, Mechatronics, or a related discipline.
- 10–12+ years of experience in automotive software development.
- Familiarity with Chassis & ADAS features and architecture.
- Off-road vehicle experience, ISO 26262, ASPICE, platform-level ECU programs, BSW integration (good to have).
- AUTOSAR Classic (SWC, RTE, BSW integration).
- Embedded C/C++ (legacy & modern).
- MATLAB/Simulink MBD.
- Virtual ECU configuration.
- MIL / SIL / Virtual Validation / HIL validation lifecycle.
- Supports ASW integration with BSW.
- Multi-ECU system understanding.
- AI-assisted code/model analysis.
- Defining human-in-the-loop AI workflows.
- Validation strategies for AI-generated outputs.
- Understanding of multi-agent automation concepts.
- MATLAB/Simulink, dSPACE/Vector/ETAS, AUTOSAR authoring tools, Git, CI/CD, AI orchestration platforms.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and lead cross-functional teams.
- Detail-oriented with a focus on delivering high-quality documentation.
Originally posted on Himalayas