Embedded Software Engineer
3 weeks ago
We are seeking an Embedded Software Engineer to play a key role in the development of our autonomous surface vessels with a strong background in embedded systems, real-time software development, and robotics. They will work closely with our multidisciplinary team to design, implement, and optimize software solutions that enable our ASVs to operate safely and efficiently in diverse maritime environments.
Responsibilities
- Design and implement embedded software for controlling autonomous surface vessels, including motion control, sensor fusion, path planning, and decision-making algorithms
- Develop real-time software systems to ensure precise and responsive control of ASV navigation, propulsion, and payload systems
- Collaborate with hardware engineers to integrate software with custom electronics, sensors, and actuators
- Implement communication protocols for remote control, telemetry, and data exchange between ASVs and ground control stations
- Conduct thorough testing and validation of software components using simulation tools, hardware-in-the-loop (HIL) testing, and field trials
- Optimize software performance, memory utilization, and power consumption to meet stringent requirements for reliability, safety, and efficiency
- Document software design, implementation, and testing procedures to ensure reproducibility and maintainability
- Stay abreast of emerging technologies and best practices in embedded software development, robotics, and maritime autonomy
- Bachelor's degree or higher in Computer Engineering, Electrical Engineering, Computer Science, or a related field
- Experience in embedded software development, preferably in the field of robotics or autonomous systems
- Proficiency in C/C++ programming language and familiarity with real-time operating systems (RTOS) such as FreeRTOS or QNX
- Strong understanding of software design principles, algorithms, and data structures
- Experience with software development tools such as version control systems (e.g., Git), IDEs, debuggers, and build automation
- Knowledge of communication protocols commonly used in robotics, such as CAN bus, Ethernet, UART, SPI, and I2C
- Familiarity with sensor technologies used in autonomous navigation, such as GPS, IMU, LiDAR, and cameras
- Experience with software testing methodologies and tools, including unit testing, integration testing, and simulation
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