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Description Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. We are seeking an innovative and solution-oriented System Development Engineer (SysDE II) to join our team to develop solutions that integrate machines and equipment with enterprise manufacturing systems, build custom manufacturing applications, and deploy applied AI within an active satellite manufacturing facility. This role combines hardware, software, OT and IT stack development to connect plant-floor assets with enterprise platforms, create purpose-built applications that streamline production workflows, and build intelligent solutions that unlock value from manufacturing data. In this position, you will primarily work on integrating machines, robots, PLCs, SCADA systems, and production equipment with enterprise systems such as MES (Manufacturing Execution System), enabling real-time data flow between the shop floor and higher-level business systems. You will build custom manufacturing applications such as operations dashboards, digital work instructions, traceability tools, and production monitoring systems tailored to the unique needs of satellite manufacturing. You will also design and deploy applied AI solutions that leverage equipment and process data to drive predictive maintenance, automated quality inspection, process optimization, and intelligent manufacturing workflows. The ideal candidate will have direct hands-on experience connecting industrial equipment (PLCs, SCADA, Torque Tools, CNC machines) to enterprise manufacturing systems (MES), developing custom applications for manufacturing environments, building applied AI solutions for production use cases, or deploying industrial connectivity and data integration solutions using modern DevOps practices at scale. Key job responsibilities Bridge the gap between IT and OT environments by integrating plant-floor equipment (PLCs, SCADA, robots, CNC machines, torque tools) with enterprise systems such as MES using OPC UA, MQTT, and REST APIs Build and maintain real-time data pipelines that converge OT and IT layers, enabling end-to-end production visibility, traceability, and data-driven decision-making across the manufacturing stack Develop custom manufacturing applications (dashboards, digital work instructions, production monitoring, and quality traceability) tailored to satellite manufacturing operations, serving as the connective tissue between shop-floor systems and enterprise platforms Design, train, and deploy applied AI solutions for predictive maintenance, automated quality inspection, anomaly detection, process optimization, and intelligent chatbots leveraging data from both OT and IT systems to drive actionable insights for Production Operations. Partner cross-functionally with controls engineers to ensure equipment-level connectivity and PLC/SCADA integration Collaborate with manufacturing engineers to translate process requirements and domain expertise into scalable digital solutions Work alongside network development engineers to architect reliable, secure industrial network infrastructure that supports OT/IT convergence Basic Qualifications Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in professional, non-internship software development Experience building data pipelines or automated ETL processes Experience integrating industrial equipment (PLCs, SCADA, robots, CNC machines) using protocols such as OPC UA, MQTT, or REST APIs Familiarity with manufacturing execution systems (MES) and industrial automation concepts Preferred Qualifications Experience in Space Vehicle/Satellite Operations, Space Communications or related industry Experience working with PyTorch or JAX software, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware Experience building production software applications or understanding software development, distributed systems, and systems architecture Experience with AWS or cloud technologies Experience with AI/ML technologies Experience collaborating with cross-functional teams Exposure to computer vision for automated quality inspection Familiarity with ISA-95 or similar IT/OT integration frameworks and standards Experience in Industrial networking and communications 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, REDMOND - 129,200.00 - 174,800.00 USD annually Company - Amazon Kuiper Manufacturing Enterprises LLC Job ID: A10507348
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.