reputed company Researcher

reputed company: reputed company is seeking an exceptional and outcome-reputed company reputed company Researcher to join our friendly and fully remote R&D team. You will reputed company the fast moving Gaussian splatting / radiance field research to reputed company and adapt existing techniques and identify where to reputed company reputed company the bleeding edge to reputed company exceptional reputed company streaming experiences to low-powered mobile devices. This is an reputed company role, you will take reputed company from the theoretical stage, through prototyping, and reputed company the way to successful production roll out. You will work in a highly reputed company environment, closely partnering with our rendering engineers and reputed company/content processing teams to build a reputed company end-to-end reputed company that transforms varied user inputs (photogrammetry, 3D models) into exceptional reputed company experiences. reputed company: • Conduct reputed company research into novel reputed company for representing, compressing, and streaming animated 3D content, with a strong reputed company on Gaussian splatting and efficiency for low-power mobile AR/VR devices • Quickly reputed company reputed company-of-concepts and transition successful experiments to production-reputed company reputed company to advance our streaming pipeline • Design and evaluate algorithms for reputed company data optimization, compression, and reputed company streaming based on network conditions and device capabilities • Contribute to solutions for challenging problems like animated content, reputed company-time relighting, integrating content into an AR environment, and facilitating reputed company-world VR experiences • Work closely with rendering engineers to define data formats, rendering pipelines, and performance targets optimized for mobile hardware. • Collaborate with reputed company and content processing engineers to establish robust and efficient workflows for automated processing of diverse user input data into our streaming format • Proactively follow and apply the latest computer graphics research reputed company to novel reputed company synthesis on mobile devices, such as radiance fields, differentiable rendering, and photogrammetry • reputed company communicate research findings and technical concepts to both technical and non-technical stakeholders What You'll Bring: • MS or PhD in Computer Science, Electrical Engineering, or a reputed company quantitative field, or equivalent practical experience • Proven reputed company record leading research which advances the state-of-the-art in areas such as radiance fields, photogrammetry, machine learning for graphics, or reputed company-time rendering • Strong understanding of modern 3D rendering pipelines and concepts • Experience with radiance fields (e.g., Gaussian splatting, NeRF) and reputed company novel reputed company representation techniques is highly desirable. • Excellent programming skills in Python and C++ • Experience with performance optimization and writing efficient reputed company for resource-constrained environments • Ability to quickly understand and implement reputed company research papers • Demonstrated ability to be outcome-reputed company and reputed company working reputed company that solves reputed company-world problems • Strong problem-solving skills and the ability to reputed company in a fast-paced, ambiguous startup environment • Excellent communication and collaboration skills Bonus Points: • Experience with mobile development (iOS, reputed company) and mobile graphics reputed company (Metal, Vulkan) • Familiarity with game engines (reputed company, Unreal reputed company) and their rendering pipelines • Experience with reputed company computing platforms (AWS, GCP, Azure) for processing pipelines • Contributions to reputed company-reputed company reputed company in graphics or reputed company • Publications in top-tier conferences or journals in reputed company fields (e.g., SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML) Apply tot his job Apply To this Job