Sr. Perception Systems Engineer, Prime Air
Amazon
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This role on the market
53 open perception roles across 14 companies are on ApplySarthi right now.
- Research Engineer — Vision & PerceptionBleu Robotics
- Software Engineer, Perception & VisionLaelaps
- Principal Engineer, ADAS Camera Systems & Perception IntegrationGeneralmotors
- Senior Perception Component Platform LeadCat
- Senior Machine Learning Engineer, Perception - Autonomous DrivingNvidia
What perception roles keep asking for: Python (42%), C++ (36%), Computer vision (30%), Machine learning (30%), PyTorch (25%), Deep learning (17%) — counted across their open postings here.
Amazon has 14,436 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Investigation SME, Flex Investigations and Offboardinghyderabad
- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for perception roles keep coming back to Python, C++, Computer vision, Machine learning. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Computer vision? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Sr. Perception Systems Engineer, Prime Air at Amazon interview free →How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, Basic qualifications: - Experience in translating business needs into detailed feature requirements - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making - Experience planning, executing, and documenting verification activities that demonstrate correct and safe system behavior across nominal, off-nominal, and edge-case scenarios. - Experience evaluating machine-learning systems, particularly for computer vision systems or autonomy. Preferred: - Experience in creating process improvements with automation and analysis - Knowledge of software test techniques and strategy - Experience in Systems engineering, site reliability engineering, building and operating systems at scale - Experience with autonomous perception systems, computer vision, or sensor fusion in safety-critical applications 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, WA, Seattle - 151,200.00 - 204,600.00 USD annually
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Listed on amazon · posted 2026-08-19. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.