Robotics Vision SW Engineer, Velocity

Amazon is hiring a Robotics Vision SW Engineer, Velocity. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and Tensorrt among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Build and optimize production computer vision and perception software systems that power Amazon robotics.

PyTorchTensorFlowTensorrtOnnx

computer-visionroboticssoftware-engineeringperceptionmachine-learning-deployment

As a Software Development Engineer for Amazon Robotics, you will be at the forefront of building and deploying computer vision systems that power our robots. This role combines deep expertise in software engineering, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to architect, design, and implement robust software systems that enable safe and efficient operations. This position requires a unique blend of strong software engineering fundamentals and computer vision expertise, with a focus on transforming research concepts into production-ready, scalable solutions that operate reliably in diverse real-world environments.

Key job responsibilities
- Design, build, and optimize production software systems for computer vision–based perception, navigation, and planning
- Lead the development of scalable, high-performance computer vision pipelines including model integration, inference optimization, and deployment
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel software approaches to solve complex technical challenges in perception, navigation, and planning
- Create and implement metrics, evaluation frameworks, and testing infrastructure to measure system performance and reliability
- Collaborate with applied scientists and engineering teams to integrate ML/CV models into the production stack

Basic qualifications

- 8+ years of non-internship professional software development experience
- Experience as a mentor, tech lead or leading an engineering team
- 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
- Bachelor's degree
- 5+ years of CS, CE, ML or related field experience

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience with deep learning frameworks (PyTorch, TensorFlow) and model deployment/optimization (TensorRT, ONNX)
- Experience with real-time systems, embedded platforms, or edge deployment
- Publications or patents in computer vision or related fields at top-tier peer-reviewed conferences or journals

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, Westboro - 168,100.00 - 227,400.00 USD annually

How we rate this

Robotics Vision SW Engineer, Velocity at Amazon rates 85 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

Robotics Vision SW Engineer, Velocity is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $168k-$227k a year.
The role is based in US, MA, Westboro.
The job was posted on May 13, 2026.
Seniority: senior.
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 visionRoboticsSoftware EngineeringPerceptionMachine Learning DeploymentPyTorchTensorFlowTensorrt

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where perception was part of your work. What did you do?
Tell me about a project where machine learning deployment was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, Robotics, Software Engineering, Perception, and Machine Learning Deployment. 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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