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Senior Software Engineer, Autonomy - Perception, Deep Learning Jobs

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Explore cutting-edge careers at the intersection of artificial intelligence and robotics with Senior Software Engineer, Autonomy - Perception, Deep Learning jobs. This advanced professional role sits at the core of developing intelligent systems capable of interpreting and understanding complex environments. Professionals in this field are primarily responsible for designing, implementing, and optimizing the perception stack for autonomous machines. This involves creating sophisticated deep learning models and computer vision algorithms that enable machines to see, identify, and react to the world around them with high precision and reliability. Typical day-to-day responsibilities include researching and prototyping novel neural network architectures for tasks like object detection, semantic segmentation, sensor fusion, and 3D scene understanding. Engineers in this role spend significant time training models on large-scale datasets, performing rigorous validation and simulation testing, and deploying robust software to real-world hardware. A critical aspect of the job is continuously improving model performance, latency, and efficiency to meet the stringent safety and operational demands of autonomous systems. Collaboration is key, as these engineers often work closely with other autonomy teams, such as prediction and planning, to integrate perception outputs into a cohesive driving policy. The typical skill set required for these highly specialized jobs is extensive. A strong foundation in software engineering principles, proficiency in languages like Python and C++, and expertise with deep learning frameworks such as PyTorch or TensorFlow are fundamental. Candidates are expected to possess a deep theoretical and practical understanding of computer vision, convolutional neural networks (CNNs), recurrent networks (RNNs), and transformers. Experience with sensor data (e.g., cameras, LiDAR, radar) and embedded systems is highly valuable. Most positions require an advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, or a related field, coupled with a proven track record of deploying perception models from research to production. For those passionate about pushing the boundaries of AI and creating the future of autonomy, Senior Software Engineer, Autonomy - Perception roles represent the pinnacle of deep learning jobs, offering the challenge of solving some of the most complex problems in technology today.

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