Software Development Engineer II, Robotics Navigation

Amazon is hiring a Software Development Engineer II, Robotics Navigation. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include computer vision.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

computer-vision

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 Software Development Engineer on our on-robot software team, you will help our robots know where they are and get where they need to go. You will partner with applied scientists working on localization and mapping (SLAM), spatial memory, and navigation to turn their algorithms into fast, reliable on-robot components. You will integrate them with perception, task planning, and safety, and measure how well they work on real robot data. Our robots work in large, busy, and changing spaces, where a robot that loses track of where it is can't do its job.

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
- Partner with scientists and engineers to turn SLAM, mapping, and navigation algorithms into production on-robot components
- Build the localization and mapping pipeline, and keep the robot localized over long distances in large spaces that change throughout the day
- Build the spatial memory that records what the robot has seen and where
- Make navigation reliable alongside perception and safety, including recovering when the robot gets stuck
- Measure how well localization and navigation work on real robot data, and use that to improve them
- Make it all run in real time on the robot's embedded compute, and debug failures on real robots
- Write design docs and experiment reports that are clear about tradeoffs and limitations

Basic qualifications

- 3+ years of non-internship professional software development experience
- Experience programming with C++ and/or Python
- Experience developing or integrating perception, SLAM, localization, 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 state estimation, computer vision, or robotics
- Experience with SLAM and state estimation, such as visual, visual-inertial, or lidar odometry, loop closure, pose-graph optimization (e.g., GTSAM, Ceres, g2o), and localization in prebuilt maps
- Experience with navigation stacks (e.g., ROS 2, Nav2, costmaps, global and local planners, behavior trees)
- Experience with 3D data and point clouds (e.g., PCL, Open3D) and occupancy or voxel mapping
- Experience building semantic maps, scene graphs, or spatial memory for robots, including with vision-language models
- Experience with multi-sensor pipelines, time synchronization, and coordinate-frame management (e.g., cameras, lidar, IMU, tf2)
- Experience taking research algorithms from prototype to production, including porting Python prototypes to production C++
- Experience optimizing SLAM, perception, or machine learning workloads for real-time performance on embedded CPUs and GPUs (e.g., NVIDIA Jetson, CUDA)
- Experience building simulation-based or hardware-in-the-loop evaluation for localization or navigation
- Experience using AI coding assistants and agents to speed up development, with sound judgment about reviewing and verifying their output
- Excellent collaboration and communication skills, with the ability to 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 - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer II, Robotics Navigation at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer II, Robotics Navigation is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, MA, N.reading.
The job was posted on November 10, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer vision

Also common in software engineer jobs at this level

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Pay

This job starts at: $144k
Typical software engineer job: $167k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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