Senior Signal Processing Engineer
Capella Space
DockerPythonRemote Sensing
Robotics Engineer, Autonomous Vehicles
Venti Technologies
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
DockerLinuxPython
About the role
- Deploy and integrate autonomous vehicle software onto existing terminal tractors, ensuring compatibility with vehicle hardware and configuring for real-time operation.
- Integrate sensors (LIDAR, cameras, radar) and communication systems (e.g., CAN, Ethernet) with vehicle platforms and perform sensor calibration.
- Perform on-site testing and validation of autonomous systems, develop and execute test plans, analyze test data, troubleshoot issues, and implement fixes.
- Assist with vehicle recovery operations and perform calibration and maintenance to maintain optimal performance.
- Troubleshoot hardware and software issues on-site, collaborating with operations and engineering teams.
- Document deployment processes, test results, and service procedures; participate in team discussions to improve deployment and operational efficiency.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field.
- 2+ years of experience in software development or system deployment, ideally in robotics, autonomous systems, or automotive industries.
- Hands-on experience with C++, Python, or ROS for deploying software in real-time systems.
- Familiarity with sensor integration (LIDAR, cameras, radar) and vehicle communication protocols (e.g., CAN, Ethernet).
- Experience in testing and validation of integrated systems, preferably in automotive or logistics environments.
- Proficiency in software deployment tools (e.g., Git, Docker, Linux).
- Basic knowledge of hardware troubleshooting and sensor calibration.
- Understanding of vehicle system integration and embedded systems.
- Strong problem-solving skills and ability to adapt in a fast-paced, hands-on environment.
- Excellent communication and teamwork skills to collaborate across disciplines.
- Comfortable with on-site work, including vehicle recovery and maintenance tasks.
- Preferred: experience deploying autonomous systems or automation solutions in logistics or automotive industries.
- Preferred: familiarity with railroad or terminal operations.
- Preferred: prior experience in field operations or on-site technical support.
