We are looking for a highly skilled ML/Perception Engineer to take ownership of our vision pipeline – from data to deployed models running on embedded systems.
This role is focused on building perception systems that actually work in the field, under real-world constraints.
What You'll Do:
Own the full perception pipeline: data → training → evaluation → deployment
Develop and improve detection and segmentation models using RGB + depth data
Build and maintain a data engine: define labeling strategies, drive dataset quality and consistency, handle noisy and imperfect data
Ensure models generalize to real-world conditions: changing lighting, occlusions, small / hard-to-detect objects
Deploy models to Jetson NX-based systems – ensure compatibility with TensorRT, perform export, validation, and debugging
Collaborate closely with software, robotics, and algorithm engineers to integrate perception into the system
This role is focused on building perception systems that actually work in the field, under real-world constraints.
What You'll Do:
Own the full perception pipeline: data → training → evaluation → deployment
Develop and improve detection and segmentation models using RGB + depth data
Build and maintain a data engine: define labeling strategies, drive dataset quality and consistency, handle noisy and imperfect data
Ensure models generalize to real-world conditions: changing lighting, occlusions, small / hard-to-detect objects
Deploy models to Jetson NX-based systems – ensure compatibility with TensorRT, perform export, validation, and debugging
Collaborate closely with software, robotics, and algorithm engineers to integrate perception into the system
Requirements:
Strong experience building and deploying computer vision models (detection + segmentation)
Hands-on experience with training pipelines and dataset iteration
Proven ability to improve performance with imperfect / noisy data
Experience working with real-world vision problems (not only curated datasets)
Practical understanding of deployment constraints (latency, memory, model size)
Experience exporting models to ONNX / TensorRT (or similar)
Nice to Have
Experience with RGB + depth / 3D perception
Background in robotics or embedded systems
Familiarity with edge devices (Jetson family)
Strong experience building and deploying computer vision models (detection + segmentation)
Hands-on experience with training pipelines and dataset iteration
Proven ability to improve performance with imperfect / noisy data
Experience working with real-world vision problems (not only curated datasets)
Practical understanding of deployment constraints (latency, memory, model size)
Experience exporting models to ONNX / TensorRT (or similar)
Nice to Have
Experience with RGB + depth / 3D perception
Background in robotics or embedded systems
Familiarity with edge devices (Jetson family)
This position is open to all candidates.
