Bedrock Robotics
Robotics Application Engineer
About this role
Bedrock is seeking a Senior Robotics Application Engineer to bridge autonomous excavator development and real-world construction deployment. You'll own field evaluations, debug complex robotic systems, guide customer partnerships, and ensure autonomous machinery performs reliably on active job sites.
What you'll do
- Conduct site-based evaluations of autonomous excavator performance using real operational data
- Debug issues across hardware, firmware, and software stacks to maintain system reliability
- Collaborate with engineering and partnerships teams to identify deployment sites aligned with product roadmap
- Translate technical capabilities into customer value and manage site progression discussions
- Perform hands-on troubleshooting with electrical systems, sensors, and embedded components
- Analyze performance data and provide feedback to influence next-generation system design
What they're looking for
- Python, Rust, or C++ programming
- Linux and version control systems
- Robotics stack knowledge (sensor fusion, computer vision, motion planning, controls)
- Electrical troubleshooting and CAN bus communication
- Data analysis and visualization tools
- Embedded systems and hardware debugging
- Deployed robotics experience
- Cross-functional communication skills
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Bedrock Robotics
Bedrock Robotics develops autonomous construction machinery powered by AI and robotics technology. The company is hiring for roles spanning developer infrastructure, simulation systems, hardware engineering, field robotics application, and frontend engineering to support the development and deployment of autonomous excavators and heavy equipment.
View all jobs at Bedrock RoboticsLikely interview questions
- Walk us through your experience with deployed robotics systems. What was the most complex issue you had to debug across hardware, firmware, and software, and how did you approach it?
- Describe your experience with sensor fusion (LiDAR, GNSS, IMU) and computer vision in a production system. How have you validated autonomous performance using real-world data?