Esri
Sr. Software Development Engineer C++ (m/f/d)
Stuttgart, DE · Senior
Sponsorship not specifiedDetected 7 days ago
C++AlgorithmsCI/CDMachine LearningComputer VisionProduct StrategySensors5G/LTEResearchGISCommunicationMentoring
About the role
- Are you an experienced software developer who is passionate about creating value, someone who is eager to push boundaries to constantly improve the product you are working on?
- You'll work in a highly collaborative environment where innovation and creativity are embraced.
- If you're excited about the potential of technology to transform industries and improve lives, we invite you to join our dynamic team!
Responsibilities
- Collaborate in a team to create industry-leading software for 3D reconstruction from images and lidar, scene understanding as well as visualization solutions
- Develop scalable, high‑performance software that enables cutting‑edge social and environmental innovation, including global monitoring applications powered by GIS
- Build the product to process Images, Point Clouds, Textured Meshes and Gaussian Splats at scale using high performance computing techniques and GPU acceleration
- Demonstrated ability to research, design, implement, test, debug, and work efficiently in large, shared codebases
- Embracing a high diversity of skills and cultures, curiosity and an urge for excellence drive us.
- The Esri R&D center-Stuttgart develops the software technology, Reality Engine, which is used worldwide to reconstruct 3D surface models from images and lidar.
- In our software development, we focus on solving our users needs and follow research trends to deliver impactful reality capture software.
Requirements
- 5+ years of professional experience in writing production code with expert level C++ skills (modern C++ standards, performance optimization)
- Proven experience designing and delivering complex software components in production environments
- Bachelor's degree in Computer Science, Geomatics Engineering, or a related field
- Experience with CI/CD pipelines
- Experience with/affinity for 3D data
- Master's degree in Computer Science, Geomatics Engineering, or a related field
Nice to have
- Fluent English speaker (German is a plus)
- If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Compensation
- Attractive compensation including benefits like public transport, leased e-bikes, and fitness
Benefits
- Attractive compensation including benefits like public transport, leased e-bikes, and fitness
- Drive advancements in state‑of‑the‑art algorithms across computer vision, photogrammetry, machine learning, and computer graphics
- Shape the product vision and technical direction for a rapidly growing community of reality‑capture users
Company info
- High-profile team that is driven by the pursuit of excellent results
- Active ambition to become a technology leader in 3D reconstruction technology
- Well-appointed office environment and equipment in the center of Stuttgart
- Part of Esri, a global organization based in California focused on GIS and spatial analytics to enable global change
- We are an international team of young and enthusiastic individuals passionate about creating professional photogrammetry software and providing value for our customers.
- Municipalities and leading companies in the mapping industry use our unique technology for countrywide data production.
- We have built a strong reputation in the market for us, this is just the beginning.
- Facing an evolving market and many fascinating technological challenges, we need your expertise to help us reach the next level.
- As one of the leading solutions in this domain, it focuses on high accuracy and large-scale applications such as aerial mapping of entire cities and countries.
- The resulting data empowers various applications in areas such as smart cities, infrastructure, 5G planning, change detection, environment monitoring, cadaster mapping, or VR.
Visa & Work Authorization
- Existing work authorization for Germany
This listing is sourced directly from Esri's careers page and normalized into a canonical job model.