K14 - Automotive ECU Software Engineer – AUTOSAR & Matlab

United States·Peoriamid

Software EngineerSoftware Engineering

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Lead end-to-end automotive ECU software architecture and AI-assisted AUTOSAR migration across Brake, Steering, Transmission, HVAC, and Implement ECUs.

Requirements Summary

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.

Technical Tools

Software EngineerSoftware Engineering

Responsibilities

~1 min read

→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

~1 min read

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.