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 Do:
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios
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 Do:
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios
Requirements:
5+ years of experience in algorithm development (robotics, perception, or similar domains)
Strong background in classical perception: geometry, filtering, tracking
Solid computer vision experience
Strong programming skills in Python (research/prototyping) and Modern C++ (production systems)
Experience working with real-world, noisy sensor data and resource-constrained system designs
Proven ability to take full ownership of complex modules from design to deployment
Comfortable working in fast-paced, ambiguous startup environments
Preferred Qualifications
Experience with real-time or low-latency systems
Experience with NVIDIA Jetson or similar edge computing platforms
CUDA / GPU acceleration
Background in aerial robotics or autonomous systems
5+ years of experience in algorithm development (robotics, perception, or similar domains)
Strong background in classical perception: geometry, filtering, tracking
Solid computer vision experience
Strong programming skills in Python (research/prototyping) and Modern C++ (production systems)
Experience working with real-world, noisy sensor data and resource-constrained system designs
Proven ability to take full ownership of complex modules from design to deployment
Comfortable working in fast-paced, ambiguous startup environments
Preferred Qualifications
Experience with real-time or low-latency systems
Experience with NVIDIA Jetson or similar edge computing platforms
CUDA / GPU acceleration
Background in aerial robotics or autonomous systems
This position is open to all candidates.
