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Added 5 mins ago
Forward Deployed Engineer
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- Map customer workflows, identify worthwhile automation opportunities, and address process issues or blockers.
Added 18 mins ago
Electrical and Automation Design Engineer
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Automation Design Engineer to their Milwaukee suburb team!
Added 22 mins ago
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Added 31 mins ago
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Added 33 mins ago
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Mechanical Design Engineer |
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- $85,000 to $100,000 USD / year
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Added 37 mins ago
Agent Development Engineer, Customer Systems
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Added 43 mins ago
Senior Software Development Engineer, Robotics Perception
Amazon.com Services LLC
Wilmington, MA · North Reading, MA
…generation of advanced robotics systems that will transform automation at Amazon's scale. We're building robotic systems that combine cutting-edge AI, sophisticated control systems, and…
Added 1 hour ago
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Added 2 hours ago
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Maintenance Engineer
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- $34 to $41 USD / hour
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Quality Assurance Engineer
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Added 2 hours ago
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Technical Systems Engineer II (Full-Time) - United States
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- Full-time
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Added 2 hours ago
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Amazon.com Services LLC

Senior Software Development Engineer, Robotics Perception

Wilmington, MA, United States
North Reading, MA, United States

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Job details

Posting language: English
Posted: Nov 8, 2026

Original job description

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of the latest software and AI tools for robots.

At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

We are building the brains of our next-generation robots - a stack that:

Enables deployment of robots at Amazon scale
Enables unprecedented generalization across diverse tasks
Seamlessly integrates with large models and optimal control techniques
Integrates with human-safe safety solutions

As a Senior Software Development Engineer on our on-robot software team, you will lead productization across perception, localization and mapping (SLAM), navigation, and spatial memory on the robot. This software tells the robot where it is and what is around it, so planning, manipulation, and safety can act. You will partner with applied scientists to turn their research prototypes into fast, reliable production components on embedded GPUs. You will set the architecture, interfaces, and engineering standards the team builds to, and decide where models run and how they share compute. You will lead designs across science and engineering teams, and build the evaluation that shows whether a change made the robot better.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

Key job responsibilities

Set the technical direction for the robot's perception, SLAM, navigation, and spatial memory software, and lead the engineers who build it
Own how well the robot perceives and navigates in real facilities, and drive the fixes when it falls short
Work with applied science leaders to bring research from prototypes to production
Make tradeoffs across the stack, such as what runs on the robot versus in the cloud and how models share limited compute
Define how perception and mobility work with planning, manipulation, and safety, and create alignment across teams
Build the evaluation strategy that shows robot performance improvements, and use it to set priorities with science and program partners
Raise the engineering bar through design reviews, mentoring, and hiring Basic qualifications
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
Bachelors or Master's degree, or 10+ years in CS, ME, EE or related field experience
Experience designing and shipping perception, computer vision, SLAM, or navigation software for robots, autonomous vehicles, or other real-world systems Preferred qualifications
Master's degree or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, state estimation, or machine learning
Experience leading perception, SLAM, or navigation software for robots or autonomous vehicles deployed in production
Experience optimizing machine learning models or computer vision pipelines for real-time inference on embedded GPUs (e.g., NVIDIA Jetson, TensorRT, ONNX Runtime, CUDA)
Experience with 3D perception and state estimation, such as stereo depth, visual, visual-inertial, or lidar odometry, SLAM and loop closure, mapping, or localization
Experience with navigation and autonomy stacks (e.g., ROS 2, Nav2, costmaps, global and local planning)
Experience integrating vision-language or other foundation models into robot perception or navigation, such as open-vocabulary detection and segmentation, semantic maps, or language-guided navigation
Experience with model compression and quantization (INT8/FP8, pruning, distillation) and GPU profiling tools such as NVIDIA Nsight Systems or Nsight Compute
Experience with multi-camera and multi-sensor pipelines (e.g., GMSL cameras, lidar, time synchronization) and serving multiple models on shared accelerators (e.g., Triton Inference Server)
Experience deploying models across heterogeneous accelerator platforms (GPU, NPU, DSP)
Experience building simulation-based or hardware-in-the-loop evaluation for perception, localization, or navigation
Experience using AI coding assistants and agents to speed up development, with sound judgment about reviewing and verifying their output
Excellent written and verbal communication, with a track record of leading technical work across science and engineering teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, N.Reading - 168,100.00 - 227,400.00 USD annually USA, MA, Wilmington - 168,100.00 - 227,400.00 USD annually

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More about this job

Skills

Software development
Robotics
SLAM
Research
Computer science
Electrical engineering
Estimating
Machine learning
Communication skills
Recruitment
Mental health

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