Raven Connected is an innovative automotive video telematics hardware and software company that is developing cutting-edge ITS/V2x solutions and data analytics to enhance safety, efficiency, and productivity for the transportation and logistics sectors. Raven provides a platform that integrates video telematics, edge computing, AI and data analytics to create advanced fleet management and smart city solutions. By leveraging 5G/MEC technology and C-V2x communication, Raven is commercializing a suite of V2x applications to improve road safety and traffic management.

Job Summary:

We are seeking a highly skilled Fullstack Engineer to join our team and play a key role in developing cutting-edge ITS (Intelligent Transportation Systems) and V2x (Vehicle-to-Everything) solutions for the Internet of Things (IoT). As a Fullstack Engineer, you will design, implement, and optimize firmware for an Android device that enables seamless and intelligent communication between vehicles and their surrounding environment.

Responsibilities:

• Design and develop the Raven stack for V2x communication modules for novel IoT devices
• Implement communication protocols and algorithms for V2x applications
• Optimize firmware performance, power consumption, and resource utilization
• Collaborate with hardware and software teams to integrate firmware into the overall system
• Test and debug firmware to ensure functionality, reliability, and compliance with industry standards
• Stay abreast of emerging trends and technologies in V2x, IoT, and embedded systems

Qualifications:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or a related field
• Strong proficiency in C/C++ programming for embedded systems
• Experience with communication protocols (e.g., CANBUS, Ethernet, cellular) and wireless technologies (e.g., Wi-Fi, Bluetooth, 5G)
• Familiarity with V2x standards and protocols (e.g., C-V2x, J2735)
• Experience with embedded operating systems (e.g., Linux, RTOS)
• Strong problem-solving and debugging skills
• Ability to work independently and as part of a team
• Excellent communication and interpersonal skills

Preferred Qualifications:

• Experience with machine learning and computer vision algorithms, sensor based systems
• Autonomous driving systems experience
• Experience with hardware development and testing
• Experience with Java, Kotlin or Python
• Knowledge of automotive electronics and systems
• Familiarity with cloud computing and data analytics