Key job responsibilities
Engage directly with customers to understand perception and sensing requirements, and translate those into clear, quantifiable engineering specifications
Evaluate and recommend sensor technologies (cameras, depth sensors, barcode readers) for each application, performing trade off analysis on resolution, frame rate, field of view, cost, and reliability
Define the ML model requirements for perception tasks such as depth estimation, object detection, damage detection, and barcode reading
Profile compute resource needs (processing power, memory, accelerators, power consumption) for running inference models and determine optimal deployment locations (edge, cloud, hybrid)
Communicate hardware requirements including power budgets, memory bandwidth, thermal constraints, and I/O interfaces to hardware engineering teams
Author system architecture documents, interface control documents, and technical trade studies
Drive cross functional alignment between software, hardware, and product teams to ensure customer requirements are met end to end
Support lab and field activities related to sensor integration, system validation, and performance characterization
Identify technical risks early in the design cycle and propose mitigation strategies that balance performance, cost, and schedule
A day in the life
Your day starts with a customer call. They need to add damage detection to an inspection station but don't know what sensor or compute platform will work. You ask the right questions, dig into the constraints, and start shaping a technical approach.
Later, you're reviewing inference benchmarks to recommend whether the current edge board can handle another ML model, or if hardware needs to spec something more robust. By afternoon, you're presenting a sensor trade study to the hardware and software teams, walking through the pros and cons of two candidates.
No two days look the same. Some days you're drafting architecture documents. Others you're visiting a customer site to see challenges firsthand. You're the connective tissue between what customers need and what engineering builds.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Our team is the sensing architecture authority for robotics. We design, benchmark, and deliver camera and perception hardware that our customers trust to deploy at scale. We don't build one off solutions. We build platforms, reusable building blocks across optics, imaging, and compute that make every future product stronger.
You'll work alongside systems engineers, optical engineers, mechanical engineers, and test engineers, all focused on turning real customer problems into hardware that works in the field. Whether a customer needs something off the shelf or a purpose built design for a problem no one has solved before, we're the team they come to.
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
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
