Advanced Embedded SW Engineer I Digital Twin

The Embedded SW Engineer will work in the Digital Twin workstream focused on virtualizing the vehicles electronic architecture and validating features and system behaviors.

Working Experience

3 or more years of hands-on experience in embedded software engineering ideally in an automotive or safety-critical environment.

Responsibilities

• Analysis and implementation of software requirements and tasks.
• Design coding configuration testing and documentation of digital twin for different domains.
• Technical contact for the global software development team.
• Testing of software functions in hardware and software simulation environments to ensure conformance with customer requirements.
• Debugging and troubleshooting software.

Qualifications :

Qualifications

• Proficiency in C and C for embedded software development.
• Knowledge of the Software Development Lifecycle.
• Hands-on experience with Embedded Linux or QNX.
• Knowledge of Ethernet protocols such as TCP/IP.
• Experience in CAN bus including setup configuration and troubleshooting.
• Familiarity with virtualized ECU environments or virtual hardware-in-the-loop setups.
• Experience on Software integration using Change and Requirement management tools (i.e. ALM JIRA GIT)
• Candidate must be proficient in English level since will be part of a global team. Meetings mailing and communication uses English.

Desired

• Experience with QNX specifically in an ADAS or high-performance compute context.
• Knowledge of Ethernet automotive protocols such as SOME/IP or DDS for ECU interconnection.
• Familiarity with hypervisor technologies.
• Experience writing system-level tests covering integration communication and functional validation.
• Exposure to sensor simulation frameworks for camera and radar virtualization.
• Understanding of vehicle dynamics modeling or simulation environments.
• Understanding of AUTOSAR Classic architecture including RTE BSW layers and COM stack.
• Basic understanding of ADAS perception pipelines.
• Knowledge on RUST

Additional Information :

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Applicable vacancy for referral program

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1