Sword HealthRemote · Remote - Portugal€50k-€72k
AmazonPosted 4mo ago
Robotics Vision SW Engineer, Velocity at Amazon scores 93 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
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
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- 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, PyTorch, and TensorFlow. 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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