Planning and implementation of system integration tasks according to ASPICE and product development process in an interdisciplinary, international team as well as recording and clarifying internal and external requirements for the project
Responsibilities
Planning and implementation of system integration tasks according to ASPICE and product development process
Derivation of system design and system integration requirements in coordination with system architects, FUSA and cyber security managers
Create/invent new vehicle control functions, develop, extend and release vehicle control functions
Design and verification of functional models
Problem reproduction based on test bench and test vehicle and problem diagnostic based on trouble code
Requirements
Bachelor's in Automation
Bachelor's in Electrical and Electronic Engineering
Lead AI-driven software development for automotive MCU platforms, defining AI agent architectures, integrations, and ensuring compliance with automotive safety and cybersecurity standards.
Responsibilities
Define and drive the architecture for AI agent skills, autonomous agents, and tool integrations for automotive MCU platforms
Establish and govern the integration of AI-assisted software development within automotive standards and processes
Ensure AI-generated software complies with MISRA C standards and passes static analysis checks
Define comprehensive evaluation frameworks for AI-generated firmware, including benchmark workloads and HIL validation
Design and develop AI skills and automation capabilities for automotive applications such as electric motor control, BMS, and vehicle communication networks
A senior individual contributor and technical authority responsible for defining, developing, and guiding the realization of complex controls architectures spanning multiple software components, ECUs, vehicle subsystems, sensors, and actuators.
Compensation
$179,400—263,120 USD
Responsibilities
Own the design and development of complex, system-level controls architectures spanning multiple software components, ECUs, vehicle subsystems, sensors, actuators, and communication interfaces.
Apply control theory, dynamic-system analysis, signal processing, estimation, and system-level reasoning to develop robust and scalable Motion Controls solutions.
Lead technical initiatives from problem definition to realization through architecture development, requirement elicitation, design, implementation, integration support, and issue resolution.
Develop and maintain logical, physical, and software architecture views that define system allocations, interfaces, states, dependencies, assumptions, and failure responses.
Facilitate innovative controls design and help engineers evaluate alternatives, understand tradeoffs, identify failure modes, and select technically defensible solutions.