Allen Control Systems: Develops autonomous robotic weapon systems for drone defense.
10+ YOE10+ years in ML-based computer vision (robotics preferred), Bachelors required (Masters preferred) in CS/EE or related, proficiency in Python and C++, experience with TensorFlow/PyTorch, embedded systems, sensor integration, and real-time/safety-critical deployment.
Loombotic: Automated wire harness manufacturing for hardware teams.
Experience building robotics or computer-vision systems on real hardware; strong Python and/or C++; camera calibration and robotic manipulation knowledge; legally eligible to work in US or Canada; comfortable onsite with equipment.
Allen Control Systems: Develops autonomous robotic weapon systems for drone defense.
7+ YOE7+ years CV/ML experience, BS (required) or MS, proficiency in Python and C++, TensorFlow or PyTorch, embedded systems and sensor integration, real-time/safety-critical deployment experience.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Strong C/C++ development for embedded Linux and RTOS, computer vision and AI pipeline integration, experience with real-time and low-latency systems, familiarity with OpenCV and debugging/optimization across CPU/GPU/FPGA accelerators.
Apptronik: Designs and manufactures humanoid robots for industrial automation.
3+ YOEMS/PhD in CS/Robotics/Computer Engineering, 3+ years building and shipping perception or SLAM systems, expertise in SLAM/VIO/state estimation, deep learning for vision, multi-sensor fusion, Python and modern C++ experience, and edge deployment experience.
Wild West Systems: Developer of autonomous defense and weaponized drone systems.
Build and deploy real-time computer vision and sensor-fusion systems for edge hardware; strong experience with modern CV models, edge optimization, Python and C++/Rust, real-time video pipelines; ITAR eligibility required.
The Ride Platform: Marketplace and insurance infrastructure for the mobility economy.
Experience building production-grade AI systems, multi-agent/agentic architectures, real-time telemetry pipelines, MLOps/LLMOps, cloud infrastructure (AWS/GCP), and strong engineering skills in LLMs, computer vision, and reinforcement learning.