Who we areWith its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.What we needWe are seeking a highly skilled Senior Robotics Engineer specializing in Robot Perception to join our dynamic team. In this role, you will play a pivotal part in developing advanced perception systems for our automated warehouse solutions, and work on topics such as object detection and pose estimation, sensor calibration and fusion, tight integration with robot planning and manipulation, and creating comprehensive datasets from millions of cases handled daily. Additionally, you will work on improving our simulation environments to bridge the gap between simulation and real-world performance using state-of-the-art techniques. Your exceptional software engineering skills will drive the advancement of our robotic perception capabilities, ensuring accuracy, efficiency, and scalability in our automated warehouse solutions.What we doThe Vision and Robotics team is dedicated to developing, deploying, and maintaining advanced vision and robotics solutions for our warehouse automation systems. By leveraging our inbound and outbound adapter cellswhich connect the storage structure and handle tasks such as depalletizing, singulating cases, and palletizing shipmentswe ensure efficient processing and seamless integration with our autonomous robots (Symbots) and AI-powered software. The adapter cells hand over cases to the Symbots, who then place the cases into the storage structure and retrieve them when needed for palletization. Our proven track record in industrial vision and robotics system development, combined with best engineering practices, allows us to continuously push the limits of warehouse automation technology.What you'll doDevelop Advanced Perception Systems: Design and implement architectures that integrate state-of-the-art computer vision and deep learning techniques.Maintain Software Engineering Excellence: Develop and sustain robust, high-quality software while adhering to best practices including thorough code reviews, testing, and documentation.Collaborate with Planning Teams: Work closely with robot planning and manipulation groups to embed perception data into control pipelines.Optimize Decision-Making Workflows: Design and refine processes that enable real-time robotic actions based on integrated perception data.Create and Curate Datasets: Build comprehensive datasets from millions of daily cases, incorporating data augmentation, precise automated labeling, and rigorous quality assurance.Enhance Simulation Environments: Leverage synthetic data generation and advanced simulation techniques (e.g., Gaussian Splatting, NeRFs, GenAI) to bridge the sim-to-real gap.Drive Research and Innovation: Stay current with advancements in robotics perception, proposing and implementing innovative solutions to enhance system capabilities.Foster Collaboration and Mentorship: Engage with cross-functional teams and mentor junior engineers to promote a culture of continuous learning and improvement.What you’ll needEducation: Bachelor's or Master's degree (Ph.D. is a plus) in Robotics, Computer Science, Electrical Engineering, or a related field. A publication record in top-tier computer vision and machine learning conferences (e.g., CVPR, ICCV, NeurIPS, CoRL, ICML, ICLR) and journals is a plus.Experience:Minimum 5 years of work experience in robotics engineering and robotic perception software development experienceTechnical Proficiency: Expertise in a modern programming language (C++, C#, and/or Python), coupled with a strong grasp of computer vision methodologies such as semantic/instance segmentation, object detection, tracking, pose estimation, SLAM, 3D mapping, sensor calibration, sensor fusion techniquesAdvanced & Deep Learning Techniques: Familiarity with state-of-the-art perception methods (NeRFs, Gaussian Splatting, LLMs, Diffusion Processes) combined with proficiency in deep learning frameworks like PyTorch or JAX.Data Engineering: Experience in building and managing large-scale datasets, developing data pipelines, and implementing innovative, scalable solutions.System Integration: Proven ability to integrate perception systems with planning and manipulation stacks to create robust, scalable end-to-end automation solutions.Problem-Solving: Exceptional analytical and troubleshooting skills for addressing complex engineering challenges.Collaboration: Strong teamwork and communication skills for effective collaboration in multidisciplinary environments.Our Environment Up to 10% travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis. #LI-JT1#LI-HybridAbout SymboticSymbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visitwww.symbotic.com.We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.