Senior Computer Vision Engineer

Highlights

• Build multi-sensor detection models powering Lattice OS force protection systems.
• Develop perimeter security systems tracking people, vehicles and vessels.
• Bring legacy security systems into Lattice ecosystem at global scale.

Ideal candidate

Mission-driven ML engineer who thrives owning end-to-end perception systems and translating cutting-edge research into real-world force protection.

Requirements

• MS or PhD in Machine Learning, Robotics or Computer Science with emphasis on Computer Vision
• 6+ years developing, benchmarking and optimizing ML algorithms on large-scale datasets
• Strong Deep Learning and CV background
• Proficiency in C++ development in a Linux environment
• Experience with Python and deep learning frameworks such as PyTorch, JAX and TensorFlow
• Experience deploying models with TensorRT and ONNX
• Optimize on-device inference and vision kernels across CPU/GPU/NPU
• Track record developing and deploying CV models from R&D to production
• Experience writing and maintaining automated continuous integration tests
• Knowledge of system profiling and tuning for latency, memory and power efficiency