DTICI_Integration_SiL_Principal_Engineer

Short Description

We are looking for a highly experienced and technically driven Principal Engineer to lead integration-level Software-in-the-Loop (SiL) testing for next-generation automotive embedded systems. This role demands deep technical expertise in ECU virtualization, embedded integration practices, and strong domain-level exposure across areas like Powertrain, ePowertrain, or ADAS.

The ideal candidate will bring a solution-focused mindset, strong analytical skills, and a hands-on approach to building robust and scalable SiL environments. You will work at the intersection of embedded software, virtualization, and domain-level functionality, contributing directly to our left-shift testing strategy and enabling future-ready SDV (Software-Defined Vehicle) test frameworks.

Description

System-Level Integration & SiL Environment Setup

• Architect and implement SiL-based test environments integrating multiple ECUs in a virtual setup using tools like dSPACE VEOS or equivalent.
• Simulate full system behaviour through integration of functional models, bus systems (CAN, LIN, Ethernet), and domain control software.

ECU Virtualization & Communication Bus Simulation

• Lead virtualization of ECUs and configuration of network communication buses, enabling early system-level validation in SiL.
• Configure FMUs, models, and simulation artifacts to replicate target ECU behavior with high fidelity.

Embedded Software Interface Understanding

• Leverage deep experience with Embedded C++ to interface with AUTOSAR components, middleware layers, and communication services.
• Apply functional understanding of AUTOSAR interfaces and execution models to enable testability within the SiL context.
• Strong architectural awareness to facilitate simulation wrapping, data interfacing, and debugging in embedded contexts.

Domain Integration and Functional Awareness

• Apply working knowledge of at least one automotive domain such as ePowertrain, ADAS, or Powertrain to validate functional integration.
• Collaborate with feature and domain teams to translate integration scenarios into testable simulation workflows.

Problem Solving & Debugging

• Drive resolution of complex integration and simulation issues across system layers using protocol analysis, timing insights, and model verification.
• Lead troubleshooting efforts with structured analytical thinking and cross-functional engagement.

Collaboration & Innovation in SDV Context

• Contribute to test strategy alignment with Software-Defined Vehicle (SDV) goals including service orientation, containerization, and cloud connectivity.
• Collaborate with architecture and infrastructure teams to enhance virtualization capabilities and scalable test frameworks.

Responsibilities

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Computer Science, or related fields.
• Total 7-13 y ears of experience
• 6.5+ years of experience in embedded systems, ECU integration, or system-level testing in the automotive industry.

Proficient in:

• Embedded C++ , with application in embedded integration and simulation environments.
• ECU virtualization techniques and simulation-based testing.
• Automotive network protocols : CAN, LIN, Ethernet (incl. TCP/IP/IPV4).
• Strong hands-on experience with dSPACE toolchains (SystemDesk, VEOS) or similar simulation platforms.
• Proven ability to integrate complex embedded functions and lead root-cause analysis across simulation layers.
• Clear exposure to microcontroller and microprocessor architecture , and understanding of real-time constraints.

Qualifications

Preferred Skills and Added Advantages:

• Exposure to both Classic AUTOSAR and Adaptive AUTOSAR architectures with ability to interface, configure, and integrate modules within the virtualization setup.
• Familiarity with OSEK and POSIX operating system standards for embedded real-time environments.
• Domain expertise in at least one functional area such as eDrive, Charging, ADAS perception/control, or Vehicle Dynamics.
• Experience with FMU creation, MiL to SiL transition, or HiL-SiL test alignment strategies.
• Awareness of SDV-related trends including service-based architecture, containerization, and scalable validation approaches.
• Comfort with using tools like Git, JIRA, Python scripting for automation/integration purposes.