Staff AI Research Engineer, Perception

Responsibilities

• Develop and own state-of-the-art perception models for object detection, 6-DoF pose estimation, depth estimation, multi-object tracking, and multi-sensor fusion from research through to on-robot deployment.
• Build and optimize full perception stacks end-to-end - from data preparation and model training to quantization, TensorRT conversion, and inference optimization on robot compute hardware.
• Implement multi-task learning pipelines and distributed training workflows to maximize model efficiency and generalization across diverse industrial scenarios.
• Profile and optimize deployed perception models for latency, throughput, and memory constraints on embedded robot hardware.
• Collaborate with manipulation and foundation model teams to integrate perception outputs - object poses, depth maps, scene graphs - into downstream robot control policies.

Requirements

• Master's degree in Machine Learning, AI, Robotics, or a related field with 4+ years of industry experience, or a PhD degree.
• Expertise in modern computer vision architectures and perception techniques including detection, segmentation, pose estimation, and depth estimation.
• Proven experience deploying perception models to production systems - including model optimization, quantization, and inference runtime engineering (e.g., TensorRT, ONNX Runtime).
• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and strong proficiency in Python and C++.
• Strong understanding of linear algebra, projective geometry, probabilistic theory, and numerical optimization, with practical experience implementing these in real systems.
• Requires 5 days/week in-office collaboration with the teams.
• Bonus Qualifications
• Experience deploying perception models on embedded or edge hardware (e.g., NVIDIA Jetson, Orin) in robotics or autonomous systems.
• Familiarity with 3D perception techniques - point cloud processing, neural rendering, 3D reconstruction, or NeRF/Gaussian Splatting.
• Proven ability to scale perception training across GPU clusters and design robust data pipelines for large-scale visual datasets.
• Publication at top computer vision or robotics conferences (CVPR, ICCV, ECCV, ICRA, CoRL).

Benefits

Additional Information

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Staff AI Research Engineer, Perception to lead robot perception capabilities from research to real-world deployment. In this role, you will develop and ship production-grade perception models - spanning object detection, pose estimation, depth estimation, and scene understanding - directly onto RoboForce robotic platforms operating in demanding industrial environments.

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Company Intel

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