Advanced Robotics Engineer - Robot Perception

Symbotic • Wilmington, NC

72d • Hybrid

About The Position

With 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. We are seeking a highly skilled 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.

Requirements

• Education: 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 3 years of robotics engineering and robotic perception software development experience.
• Technical 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 techniques.
• Advanced & 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.

Responsibilities

• Develop 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 This Job Offers

• Career Level: Mid Level
• Industry: Machinery Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees