Job Description:
The BSW Platform Integration Engineer will be working with Micro controller-based modules with AUTOSAR classic platform with experience with C, Python, Integration, testing. Especially Vector based AUTOSAR classic platform experience needed.
The Body Controls team is a growing team dedicated to creating Body Control Modules that integrate with existing architectures as well as our next-generation vehicle systems. Join our diverse global team to design and develop embedded software in areas related to cloud-based computing, ad-hoc computing, and embedded platforms.
Job Duties:
MCU and low-level bring-up:
Bring up the MCU platform, including clock configuration, pin mapping, memory initialization, interrupts, and peripherals.
Configure and validate Microcontroller Abstraction Layer (MCAL) drivers and resolve hardware-software integration issues.
Embedded software development:
Design, develop, and debug embedded C software for low-level and platform components, as needed.
Maintain clear interfaces between drivers, middleware, and application software.
AUTOSAR BSW and OS configuration:
Configure, integrate, and validate the AUTOSAR BSW baseline and operating system. Establish task scheduling, interrupt handling, initialization sequences, and platform startup behavior.
CAN/LIN integration:
Integrate CAN DBC and LIN LDF communication descriptions into the platform configuration.
Configure drivers, communication stacks, signal mapping, message routing, and middleware interfaces.
Low-power and sleep/wake management:
Implement and validate power-state transitions, sleep-entry conditions, wake-up sources, and restoration of platform services.
Verify sleep current, wake-up timing, and behavior during repeated sleep/wake cycles.
Coordinate the relevant ECU and BSW state-management configuration Application translation layer:
Develop and maintain a translation layer that connects non-AUTOSAR C applications to ECU middleware through agreed interfaces.
Handle data conversion, signal mapping, API adaptation, and error reporting while maintaining a clear AUTOSAR/non-AUTOSAR boundary.
Application integration:
Integrate application components with platform middleware.
Validate interface compatibility, initialization order, scheduling, data exchange, and end-to-end behavior.
Performance optimization:
Measure and optimize RAM usage, CPU load, task execution time, and startup time.
Review compiler, linker, and build settings while maintaining functional correctness and timing requirements.
Integration issue resolution:
Debug issues across MCU drivers, BSW, OS, middleware, and applications, and track defects through closure.
Documentation and release support:
Maintain platform configurations, interface specifications, build instructions, and validation results.
Support repeatable builds and release of validated platform software.
Skills Required:
Programming
Experience Required:
BS in Electrical Engineer, Computer Science, or related Field 3+ years of Embedded Software Experience
2+ years of programming experience in C/C++ or Python Candidates must have strong programming skills in C/C++, and be able to write highly portable and platform-agnostic code
Experience with low level interfaces such as I2C, SPI, ICU, PWM, GPT and CAN
At least one year of experience in developing Proof-of-Concept applications for automotive ECUs
At least 1 year of experience working in an agile environment
Experience Preferred:
MS in Electrical Engineer, Computer Science or related Field Experience in software development for automotive control units
Experience in AUTOSAR Methodology and workflows Hands-on experience in AUTOSAR software development/integration projects
Familiar with RTE configuration activities Good hands-on with AUTOSAR Authoring Tool
Embedded software development experience in Linux platform Software Simulation experience using Hardware Models Good, embedded debugging skills
Self-reliant, approachable with good communication skills
Good knowledge of tools used for embedded program development Knowledge of safety-systems, ISO26262, ASIL A-D is a plus
Education Required:
Bachelor's Degree
Education Preferred:
Master's Degree
Additional Information:
Position is fully onsite.
Use of AI Technology:
Unless expressly authorized in the interview/skill set validation instructions, candidates may not use AI tools or other third-party assistance during an interview or assessment to generate or provide substantive answers to interview questions. Candidates should answer organically in their own words, drawing on their own knowledge, skills, and experience. Failure to adhere to these expectations may result in the candidate being removed from consideration.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10382565
- Position Id: 639eb7766bb653a7fa62f8207e0f0512
- Posted 4 hours ago
