Carbon Robotics
Robotics · Laser-weeding farm robots
Currently tracking 3 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $72k–$225k (avg $156k).
Robotics · Laser-weeding farm robots
Carbon Robotics currently has 5 active AI-related job listings. The hiring is concentrated in the application and data stages, each representing 40% of the open roles. Engineering is the primary function for these positions. The company is frequently seeking candidates with experience in evals, model serving, and inference infrastructure.
Carbon Robotics currently has 5 active AI-related roles in our index. The most common open titles are: Deep Learning Engineer , Deep Learning Quality Specialist, Performance Quality Technician, Sr. Software Engineer, Embedded Systems Controls, Sr. Software Engineer, Robot Systems. Most positions are in Engineering.
Carbon Robotics's active AI hiring is concentrated in: application (40%), data (40%), agents (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Carbon Robotics most frequently mention: Robotics, Machine Learning, Content Generation, Computer Vision, Data Labeling.
In the past 30 days, Carbon Robotics has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Deep Learning Engineer Deep Learning Engineer to design, develop, and deploy novel deep learning systems for autonomous laser weeding robots. This role involves leading experiments for computer vision in agricultural environments, owning model optimization and deployment pipelines, driving end-to-end ML workflows, and partnering with Engineering and Product Management. Requires experience in production computer vision, deep learning frameworks (PyTorch), C++, and taking ML projects from inception to business impact. | ShipServe | 9 |
| Deep Learning Quality Specialist This role focuses on ensuring the quality and integrity of datasets used for computer vision algorithms in a robotics application. Responsibilities include auditing data, correcting labels, investigating model issues, validating solutions, and analyzing customer feedback to improve model robustness and reliability. The role involves field testing and collaboration with support and deep learning teams. | DataPost-train | 7 |
| Sr. Software Engineer, Robot Systems Senior Software Engineer role focused on building AI and robotics products, specifically designing and implementing robot-side features and algorithms. The role involves developing robot system software, tooling for high-performance robotics algorithms, and improving machine learning pipelines to deliver state-of-the-art AI performance to robots. | Agent | 7 |