Senior Computer Vision & Algorithms Engineer

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.What You'll DoOwn the design, implementation, and validation of perception post-processing and decision-making modulesTransform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representationsDevelop algorithms for noise filtering, tracking, and spatial reasoning under uncertaintyDesign and implement decision logic for robot target selection and behaviorDevelop and improve computer vision and 3D perception pipelines for real-world deploymentWork closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustnessDeploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)Write production-grade C code and prototype in PythonDebug and iterate using real-world flight data and field testsLead the module validation within the integrated robot environment and field-test scenariosRequirements: 5 years of experience in algorithm development (robotics, perception, or similar domains)Strong background in classical perception: geometry, filtering, trackingSolid computer vision experienceStrong programming skills in Python (research/prototyping) and Modern C (production systems)Experience working with real-world, noisy sensor data and resource-constrained system designsProven ability to take full ownership of complex modules from design to deploymentComfortable working in fast-paced, ambiguous startup environmentsThis position is open to all candidates.