Sr. Software Engineer, Mobile Manipulation Robotics

Amazon • North Reading, MA

9h

About The Position

About the Role Amazon Robotics is revolutionizing warehouse automation at unprecedented scale. We're seeking a Senior Software Engineer to join our Mobile Manipulation team, where you'll architect and build next-generation robotic systems that seamlessly combine autonomous navigation with sophisticated manipulation capabilities. This role offers the unique opportunity to solve complex technical challenges while directly impacting Amazon's global fulfillment network. What You'll Do As a Senior Software Engineer in Mobile Manipulation, you'll own critical components of our robotic systems that enable robots to navigate dynamic warehouse environments while performing complex manipulation tasks. You'll work at the intersection of motion planning, perception, and control systems to create adaptable automation solutions that work safely alongside associates. About the team Amazon Robotics develops and deploys advanced robotic systems that power Amazon's fulfillment centers worldwide. Our innovations in mobile manipulation, autonomous navigation, and human-robot collaboration are transforming how products move through our network, enabling faster delivery times while creating safer, more ergonomic work environments for our associates.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Experience with robotics middleware (ROS/ROS2)
• Solid understanding of motion planning, kinematics, and control theory
• Bachelor’s degree in computer science, Robotics, Electrical Engineering, or related field

Nice To Haves

• Experience with machine vision programming (Cognex, Keyence, etc.)
• Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
• Experience developing and testing mechanical robotics equipment
• Master's degree or above in Engineering, Technology, Science, Operations Research, Robotics, Mathematics, or related fields, or PhD
• Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
• Familiarity with simulation tools (Gazebo, Isaac Sim, MuJoCo)

Responsibilities

• Design and implement robust motion planning algorithms for collision-free navigation and manipulation using industry-standard frameworks (MoveIt, OMPL)
• Develop vision-guided manipulation systems integrating object detection, pose estimation, and real-time scene understanding
• Architect high-level behavior management systems using Behavior Trees or Finite State Machines to orchestrate complex multi-step workflows
• Build and maintain simulation environments for rapid prototyping and validation before hardware deployment
• Collaborate with cross-functional teams including mechanical engineers, electrical engineers, and robotics scientists to integrate software with sensors (LiDAR, cameras, depth sensors) and actuators
• Drive technical decisions on system architecture, algorithm selection, and software design patterns
• Mentor junior engineers and contribute to team technical standards and best practices

Benefits

• Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level