AI Robotics Software Engineer Jobs

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As a Software Engineer in the Robotics and Automation group, you will design and deploy systems to automate material science research and discovery laboratories, specializing in robotics, automation, and perception software development. You will architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments. Your role involves collaborating with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes; building and maintaining APIs and services for scheduling, execution, monitoring, and data capture; developing simulation, testing, and validation tools to accelerate development and ensure system reliability; integrating 2D and 3D vision systems with robotic manipulation, motion planning, and execution; optimizing system performance, robustness, and throughput under rapid iteration cycles; contributing to technical direction, architecture decisions, and best practices; mentoring junior engineers and helping establish engineering standards; and fostering collaboration and open-mindedness to empower the team to deliver world-class technology at an unprecedented speed.

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Design, implement, and deploy 2D and 3D vision systems for robotic manipulation, inspection, state verification, and sensor fusion; develop vision-guided automation solutions integrating cameras, lighting, optics, and robots in laboratory and industrial environments; implement perception pipelines for object detection, segmentation, pose estimation, and feature extraction; own camera calibration and system-level accuracy validation; develop novel algorithms for state estimation of fluids and particle flows; integrate vision outputs with robot motion planning, grasping, and task execution; tune and harden vision systems for robustness against variability in materials, reflections, and environmental conditions; collaborate with software, mechatronics, and mechanical teams to translate experimental and operational needs into automated solutions; contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack; and bring an attitude of collaboration and open-mindedness to facilitate fearless and creative problem solving that empowers the team to ship world-class technology at an unprecedented speed.

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Design and maintain automated tests to ensure the quality, performance, and reliability of Kotlin and Android applications. Collaborate with developers to identify, reproduce, and resolve functional, performance, and UI issues across multiple environments. Define and improve quality standards across build pipelines, ensuring smooth CI/CD integrations and release stability. Monitor app behavior in production and use data-driven insights to guide testing priorities and improvements. Flexibility and quick adaptation to new requirements are essential.

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Design, deploy, and maintain Figure's training clusters. Architect and maintain scalable deep learning frameworks for training on massive robot datasets. Work together with AI researchers to implement training of new model architectures at a large scale. Implement distributed training and parallelization strategies to reduce model development cycles. Implement tooling for data processing, model experimentation, and continuous integration.

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The role involves defining on-vehicle architecture for producing core tracking results from the Perception stack, working with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle, working with Perception data both on the input and output of machine learned models, and taking tracking output to integrate this into the larger behavioral system in the Autonomy stack.

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The Senior AI Research Scientist for Vision-guided robotics is responsible for leading the research and development of novel deep learning algorithms to enable robots to perform complex, contact-rich manipulation tasks. The role involves exploring the intersection of computer vision and robotic control by designing systems that integrate visual data to guide physical manipulation beyond simple grasping to sophisticated handling of diverse items. Responsibilities include collaborating with a multidisciplinary team to translate concepts into deployable capabilities on physical industrial robotic hardware, researching and developing deep learning architectures for visual perception and sensorimotor control, designing algorithms for precise manipulation of complex or deformable objects, optimizing and deploying research prototypes onto robotic hardware, evaluating model performance in both simulation and real-world settings to ensure robustness, identifying applications of advanced computer vision and robot learning to industrial problems, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.

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As a Senior AI Research Scientist for Vision-guided robotics, you will lead the research and development of novel deep learning algorithms enabling robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems for robots to perceive and interact with objects in dynamic environments, creating models that integrate visual data to guide physical manipulation beyond simple grasping. Collaborating with a multidisciplinary team, you'll translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. You will research and develop deep learning architectures for visual perception and sensorimotor control, design algorithms for manipulation of complex or deformable objects with high precision, collaborate with software engineers to optimize and deploy prototypes onto robotic hardware, evaluate model performance in simulations and real-world environments to ensure robustness, identify opportunities to apply advancements in computer vision and robot learning to industrial problems, and mentor junior researchers contributing to the technical direction of the manipulation research roadmap.

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Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks, exploring the intersection of computer vision and robotic control to design systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Work with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.

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Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control by designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.

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Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.