Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At Esri, we believe in helping our customers take on challenging geospatial problems and making a difference in the world. Join our team of talented and passionate engineers and help us build the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art geospatial capability to thousands of our customers and millions of users worldwide. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and the cloud. We make maps, geographic information, and analyses available on any device, anywhere, at any time. Software Reliability Engineers are responsible for ensuring that the ArcGIS Enterprise product is reliable, highly available, and has powerful disaster recovery features. They do this by gathering user requirements, defining them for the team, evaluating the product, and guiding users through documentation, videos, and presentations. Responsibilities Esri is strongly user-focused and so gathering software reliability and availability requirements is an extremely important responsibility in this position Requirements will need to be gathered both directly from users and indirectly from other Esri staff in Support and Professional Services Reliability features and requirements cut across all functionalities and so leading cross-team efforts is a key responsibility Reliability engineering is all about quality and so testing the software is a key responsibility, this will include creating test plans, automating those tests, evaluating the results, and ensuring that defects are acted upon Communicating with our users is extremely important and so written documentation as well as presentations are a significant responsibility of this position Requirements 2 to 6 years in a position with operational responsibilities, such as monitoring, maintaining, and deploying enterprise software Experience in software testing Fundamental understanding of web services, such as REST and others Demonstrated problem-solving skills in a complex backend-server stack, preferably with ArcGIS Enterprise Effective communication skills and ability to work with cross-functional teams Bachelor's degree in engineering, computer science and applications, math, GIS, geography, or related field Existing work authorization for India Recommended Qualifications Master's degree in engineering, computer science and applications, math, GIS, geography, or related field Experience administering ArcGIS Enterprise is preferred Experience working on a development team is preferred About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2397 Show more Show less

Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges. Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning. As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be! Responsibilities Develop tools, APIs and pretrained models for geospatial AI Integrate ArcGIS with popular deep learning libraries such as PyTorch Develop APIs and model architectures for computer vision and deep learning applied to geospatial imagery Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries Curate and pre/post-process data for deep learning models and transform it into geospatial information Perform comparative studies of various deep learning model architectures Requirements 2 to 6 years of experience with Python, in data science and deep learning Self-learner with coursework in and extensive knowledge of machine learning and deep learning Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas Expertise in one or more of the following areas: Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more) Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others Transformer models applied to computer vision Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries Experience with hyperparameter-tuning and training models to a high level of accuracy Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges Existing work authorization for India Recommended Qualifications Experience applying deep learning to satellite or medical imagery or geospatial datasets Familiarity with ArcGIS suite of products and concepts of GIS About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2393 Show more Show less

Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges. Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software. As a Product Engineer, you will help us design, build, and deliver geospatial AI tools, models, and libraries. This work will include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about geospatial AI, have a deep understanding of the product and customer needs, and communicate effectively via writing and presentations, this is the place to be! Responsibilities Collaborate with data scientists and engineers on the design, development, testing, documentation and release of tools, APIs and pretrained models for geospatial AI Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality Troubleshoot and triage customer issues; analyze user feedback to identify areas for improvement Develop samples, tutorials, documentation, blog posts and presentation of product features Develop pre-trained geospatial AI models for imagery, 3D datasets and text Review and analyze test results; report status on software quality and stability; and certify software, SDK, and AI model quality Requirements 2 to 6 years of industry experience in software testing, development, or technical writing Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks Experience developing and implementing test plans and test automation framework Fundamental understanding of machine learning and deep learning Excellent problem-solving and analytical skills Effective project management, time management, and organizational skills Excellent technical writing skills and experience authoring samples, blog posts, and product documentation Bachelor's in GIS, geography, engineering, computer science, math, or related field Existing work authorization for India Recommended Qualifications Master's in GIS, geography, engineering, computer science, math, or related field Strong knowledge of software QA methodologies, tools, and processes Experience working in an Agile/Scrum development process Familiarity with ArcGIS suite of products and concepts of GIS Experience with remote sensing and multispectral image analysis About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-1916 Show more Show less