3 production distribution jobs found

*Job Title:* Senior Radiologic Technologist *Department:* Imaging (Radiology) *Reports To:* Medical Director *Salary Level:* Grade 16 ($35.59 – 48.60 DOE) *FLSA Status:* Nonexempt *Approved By:* Medical Director *Approved Date:* *SUMMARY* Responsible for Program policies and policy compliance and compliance with all applicable state and federal regulations as they apply to Imaging service. *FUNCTIONS & RESPONSIBILITIES* Ensures that standards are maintained and properly documented in accordance with IHS manual chapter 21. Operates Imaging department in accordance with CA dept. of Public Health Code of Regulations Title 17. Maintains and updates Imaging standards and requirements for KMC Joint Commission certification inspection readiness. Updates Imaging Policies and Procedures as needed. Reviews yearly. Has any new policies reviewed and approved by KMC Board of Directors following the KMC policy approval policy/procedure provided by KMC...

Technical Project Manager Robotics Hardware About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal...

UGV Systems Engineer Robotics Hardware About Field AI Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal...