Janicki Industries is looking to deploy next-generation intelligent automation by designing, developing, integrating, and continuously improving AI-enhanced robotic systems.
Requirements
- Deep hands-on experience with industrial robot programming, integration, and deployment
- Proven track record shipping applied AI/ML solutions (object detection, model training/re-training loops, reinforcement learning, etc.) in real-world environments
- Strong background in robot perception (cameras, LiDAR, structured light, force sensing)
- Extensive NVIDIA Jetson development experience (JetPack, TensorRT, DeepStream, Isaac ROS, etc.)
- Expert-level Python, common AI ecosystems (PyTorch/TensorFlow, OpenCV, PCL, ROS/ROS2), and modern dev-ops tooling (Git, Docker, CI/CD)
- Comfortable installing, configuring, and troubleshooting Linux/Windows systems, VMs, and complex development environments
- 10+ years of relevant engineering experience spanning robotics and AI required.
Responsibilities
- Architect and implement perception systems (2D/3D vision, point clouds, force/torque) using modern AI frameworks
- Train, deploy, and iterate on object-detection, segmentation, pose estimation, and anomaly-detection models in real manufacturing settings
- Apply reinforcement learning and other advanced techniques to improve robot dexterity, path planning, and error recovery
- Develop on-edge AI solutions using NVIDIA Jetson platforms (Orin, Xavier, etc.)
- Integrate industrial robots (Fanuc, ABB, KUKA, Universal Robots, etc.) with vision and AI pipelines
- Write robust production-grade Python code, manage repositories in Git, and containerize solutions with Docker
- Stand up and maintain development/workstation environments (Linux/Windows, ROS/ROS2, CUDA, virtual machines, etc.)
Other
- Due to our ITAR and EAR regulations, applicants must be a US Citizen or of Legal Permanent Resident Status as defined by 8 U.S.C. 1324b (a) (3).
- This position requires the ability to obtain a U.S. Secret Security Clearance (U.S. Citizenship Required).
- Mentor junior engineers and collaborate cross-functionally with ME, EE, and manufacturing teams
- Demonstrated ability to mentor engineers and lead technically without formal authority
- Bias for action, fast pace, and getting results with minimal oversight
