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Senior Deployment Engineer - Public Sector
Celonis
Remote, United States
…AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually…
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Senior Deployment Engineer - Hi Tech
Celonis
CA
…AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually…
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Senior Deployment Engineer - Health and Life Sciences
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NY
…AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually…
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Senior Deployment Engineer - Financial Services
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…AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually…
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Lead Deployment Engineer
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NY
…AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually…
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Avionics Development Lead
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United States
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Director, Facilities Design Structural Engineering
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Space Coast, FL · Huntsville, AL
Own discipline cost, schedule, and quality performance for the facility capital program, and report status and risk to senior leadership.
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Space Coast, FL
…ability. In this role, you will work with the manufacturing and senior leadership teams to help identify, develop, and implement process…
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Senior Manager, Facilities Design Structural Engineering
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Space Coast, FL · Huntsville, AL
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Principal Facilities Design Structural Engineer
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As Blue's Principal Facilities Design Structural Engineer, you will be the senior structural authority for Facilities Engineering Design in Florida. You will own the structural engineering…
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Senior Manager, Facilities Design Civil Engineering
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Space Coast, FL
As Blue's Senior Manager of Facilities Design Civil Engineering, you will build and lead the team that designs the ground our Florida operations are built on. Your team of site civil…
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Senior Automation Engineer
BioMADE
Minneapolis, MN
- $120,000 to $150,000 USD / year
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Remote - Senior Azure Network/Palo Alto Engineer
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We are looking for a highly experienced Palo Alto and Azure networking engineer to assess and rebuild its existing virtual firewall environment.
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Mechanical Commissioning Engineer I
Bureau Vertias North America
VA
…position is also responsible for participating in the MEP design process, witnessing and/or performing the static and dynamic testing of mechanical, electrical, and controls systems, and…
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Electrical Commissioning Engineer I
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VA
…position is also responsible for participating in the MEP design process, witnessing and/or performing the static and dynamic testing of mechanical, electrical, and controls systems, and…
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Intern - Transmission Owner Policy Analyst
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GLEN ALLEN, VA
Ability to process information quickly and effectively manage multiple tasks.
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Manufacturing Engineer Manager - Level 2
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Sterling, VA
Northrop Grumman’s Space Sector is seeking a Manufacturing Engineer Manager – Level 2 to join our team in Dulles, VA. This position is 100% onsite and cannot accommodate telecommute work.
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Manufacturing Engineer Manager - Level 1
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Sterling, VA
Northrop Grumman’s Space Sector is seeking a Manufacturing Engineer Manager – Level 1 to join our team in Dulles, VA. This position is 100% onsite and cannot accommodate telecommute work.
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Senior Data Migration Engineer
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Senior Controls Engineer
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Florence, KY
The Sr. Controls Engineer is responsible for the maintenance, improvement, and optimization of control systems,
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Senior Automated Test Engineer
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Intelligence Analyst IV
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Associate Engineer- Absolute Aviation
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Under the close supervision and guidance of the Engineering Manager or an assigned senior engineer, assist with creating component repair documentation suitable for FAA and/or airline…
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DevOps Engineer, Senior
BSC
Oakland, CA · WA · RI · OH · MO · CA · Long Beach, CA · AZ · CO · FL · GA · MD · MN · NV · OR · El Dorado Hills, CA · Lodi, CA · Rancho Cordova, CA · San Diego, CA · Woodland Hills, CA · AL · IL · VA · WI · TX · NY
…Digital Applications’ technical products are built. The DevOps Engineer, Senior will report to the Senior Manager, Digital Platform as your direct manager. In this role you will design,…
Added 3 mins ago
Senior Automated Test Engineer
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Leidos is seeking a Senior Test Automation Engineer to help deliver mission-essential software capabilities that enable intelligence professionals to access critical information, analyze…

Amazon.com Services LLC

Senior Vision System Engineer, Amazon Robotics

North Reading, MA, United States
Westborough, MA, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

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 to deployed solution. If you love working at the intersection of sensors, machine learning, and compute hardware, and you want your work to directly shape products that operate at massive scale, this is the role for you.

In this position, you'll be the bridge between our customers and our engineering teams. You'll gather real world requirements, determine the right combination of sensors and ML models, define what compute hardware is needed to run them, and hand off clear specs to hardware teams for execution. This is a high impact, cross functional role where your technical judgment drives what we build and how we build it.

You won't be siloed into one discipline. You'll operate across the full perception stack, from the optics on the sensor to the neural network running on an edge device to the customer conversation where it all starts. Your work directly shapes what gets built, and you'll see the impact end to end.

You're someone who is equally comfortable talking to customers about their challenges and diving into datasheets to find the right component. You can explain the difference between a depth ML model and a classical stereo algorithm to a non technical audience, and you can turn around and have a detailed conversation with a hardware engineer about power budgets and memory bandwidth. You connect the dots between sensing, computation, and real world performance.

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:

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
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. 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 qualifications
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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More about this job

Skills

Robotics
ML
Barcode
Inspection
Optical engineering
Computer science
Electrical engineering
Computer engineering
Deep learning
Product comprehension
Estimating
Logistics
Embedded systems
Recruitment
Mental health

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