Advanced Robotics Engineer - Robot Perception

Who we are

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.

What we need

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.

What we do

The 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 cells—which connect the storage structure and handle tasks such as depalletizing, singulating cases, and palletizing shipments—we 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 do

• 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 you’ll need

• Educatio n : 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…