Senior Computer Vision Engineer

What you'll do

• Design and train multi-sensor object detection models for perception on edge compute devices.
• Develop learning algorithms to optimize the behavior of autonomous systems.
• Own the end-to-end design, implementation, and performance of the machine learning stack.
• Build and maintain infrastructure for data collection and model training.
• Develop and maintain core ML pipelines for real-time applications.
• Curate datasets for evaluating performance and comparing performance trends over time.
• Optimize on-device inference and vision kernels across CPU, GPU, and NPU.
• Propose and prototype innovative solutions using state-of-the-art techniques to solve real-world problems.

What we're looking for

• MS or PhD in Machine Learning, Robotics, or Computer Science with an emphasis on Computer Vision.
• BS in Computer Science, Machine Learning, Electrical Engineering, or a related field.
• 6+ years of experience developing, benchmarking, and optimizing ML algorithms on large-scale datasets.
• Strong background in Deep Learning and Computer Vision.
• 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.
• Eligible to obtain and maintain a U.S. Secret security clearance.