Sr. Embedded Software Engineer at BERTRANDT US INC – San Jose, California

The focus of this role is to find, reproduce, and debug software and hardware issues and derive regression tests for automotive ECUs. This role will support the setup, configuration, and maintenance of HIL setups for ADAS and autonomous driving systems. Structured troubleshooting, and strong coordination skills are important. This position collaborates with teams in multiple countries and time zones and therefore may require availability during early morning or late evening hours.

- Debug software, hardware, and communication issues across ECUs and interfaces
- Implement bug fixes or configuration updates
- Define regression tests where applicable
- Reproduce and document bugs
- Develop and maintain comprehensive documentation while using version control systems
- Support setup and configuration of HIL setups with multiple ECUs and sensors
- Work with wiring diagrams, communication networks
- Define HIL system architecture
- Configure real-time simulation tools (e.g. Vector CANoe)

Required Skills:

- Proficiency in C/C++ and Python in automotive or robotics domains
- Strong analytical and conceptual problem-solving capabilities
- Effective planning, organization, and time management
- Excellent communication skills and collaborative mindset
- Comfortable working in ambiguous, fast paced environments paced environments
- Solid understanding of embedded systems
- Ability to troubleshoot software, communication, and hardware issues
- Experience reading wiring diagrams, schematics, and signal traces
- Familiarity with scripting (Python, CAPL, or similar)
- Good understanding of network communication protocols (e.g., TCP/IP, UDP)

- A minimum of 3 years of experience in embedded software development, HIL systems, ECU integration

Bachelor’s degree in electrical engineering, robotics, Mechatronics, or related field

Desired Skills:

- Knowledge of CAN, LIN, FlexRay, and automotive Ethernet
- Experience building or maintaining HIL environments
- Familiarity with Vector Tools (e.g. CANoe, CANalyzer, CANape)
- Experience with diagnostics, flashing, calibration tools, and embedded test benches, JTAG debugging, DoIP
- Familiarity with RTOS-based systems (FreeRTOS, QNX, or similar)
- Understanding of ADAS/AD systems
- Exposure to CI/CD (e.g. Gitlab, Jenkins)
- Basic experience with power distribution and ECU hardware constraints
- Experience with Jira, Codebeamer or similar

Master’s Degree in a related engineering discipline