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Senior Vision System Engineer, Amazon Robotics

Amazon

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952 open robotics roles across 76 companies are on ApplySarthi right now, most of them in Bengaluru (18), Pune (1), Hyderabad (1).

What robotics roles keep asking for: Python (20%), C++ (20%) — counted across their open postings here.

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Preparing for this interview

Interviews for robotics roles keep coming back to Python, C++. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Computer vision? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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We're building the next generation of vision and perception systems that give machines the power to see, understand, and act, and we need a Vision Systems Engineer to lead the charge from customer problem Basic qualifications: - Experience working cross functionally with tech teams - Bachelor's degree + 7 years of experience in Optical Engineering, Computer Science, Robotics, Electrical Engineering, Computer Engineering or a related engineering field - 5+ years of experience in system-level engineering involving vision systems, imaging systems, or sensor-based perception systems - 3+ years of experience working with image sensors, cameras, or optical sensor technologies (selection, integration, or characterization) - 2+ years of experience with ML/deep learning inference workloads on embedded or edge compute platforms (e.g., GPU, NPU, or accelerator-based systems) - Experience translating customer or product requirements into engineering specifications (sensor specs, compute specs, or system-level requirements documents) - Experience with one or more of the following perception domains: object detection, depth estimation, barcode reading, damage detection, or image classification Preferred: - Experience communicating with customers, technical, regulatory, business teams, and management to collect requirements, describe product features, and technical designs - Master's degree +5 years or PhD +3 years of experience in Optical Engineering, Robotics, Electrical Engineering, Computer Engineering, or Computer Science - Experience evaluating and selecting imaging sensor technologies (CMOS, ToF, structured light, stereo vision) including trade-off analysis on resolution, frame rate, field of view, and cost - Experience deploying or benchmarking ML inference models on edge compute platforms such as NVIDIA Jetson, Intel Movidius, or Qualcomm RB series - Experience with ML inference frameworks such as TensorRT, ONNX Runtime, or OpenVINO - Experience profiling ML model resource requirements including memory footprint, latency, throughput, and power consumption to inform hardware platform selection - Experience authoring system architecture documents, interface control documents (ICDs), or technical trade studies - Experience in warehouse automation, logistics, robotics, or industrial inspection environments - Familiarity with computer vision libraries (OpenCV, PCL), ROS, or real time embedded systems - Knowledge of SoC architecture 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, North Reading - 151,200.00 - 204,600.00 USD annually USA, MA, Westboro - 151,200.00 - 204,600.00 USD annually

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Listed on amazon · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.