
11 - 50 employees
âïž SaaS
đ„œ AR/VR
đ€ B2B
đ° $26M Seed Round - MIRIS on 2024-08
SaaS âą AR/VR âą B2B
Miris is a developer-focused SaaS platform that streams high-fidelity 3D content to any device without downloads or heavy infrastructure. The platform ingests OpenUSD assets (up to 10GB), uses AI-driven optimization to generate multi-resolution LODs, compress geometry and textures, and produce stream-ready assets that adapt quality per device and network. Miris delivers assets via a global CDN with predictive caching and provides a lightweight Web SDK (React/Vue/vanilla JS) integrating with three. js, enabling progressive, low-latency 3D streaming for web, mobile, and XR clients.
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11 - 50 employees
âïž SaaS
đ„œ AR/VR
đ€ B2B
đ° $26M Seed Round - MIRIS on 2024-08
SaaS âą AR/VR âą B2B
Miris is a developer-focused SaaS platform that streams high-fidelity 3D content to any device without downloads or heavy infrastructure. The platform ingests OpenUSD assets (up to 10GB), uses AI-driven optimization to generate multi-resolution LODs, compress geometry and textures, and produce stream-ready assets that adapt quality per device and network. Miris delivers assets via a global CDN with predictive caching and provides a lightweight Web SDK (React/Vue/vanilla JS) integrating with three. js, enabling progressive, low-latency 3D streaming for web, mobile, and XR clients.
âą Conduct applied research into novel methods for representing, compressing, and streaming animated 3D content, with a strong focus on Gaussian splatting and efficiency for low-power mobile AR/VR devices âą Quickly develop proof-of-concepts and transition successful experiments to production-ready code to advance our streaming pipeline âą Design and evaluate algorithms for spatial data optimization, compression, and adaptive streaming based on network conditions and device capabilities âą Contribute to solutions for challenging problems like animated content, real-time relighting, integrating content into an AR environment, and facilitating open-world VR experiences âą Work closely with rendering engineers to define data formats, rendering pipelines, and performance targets optimized for mobile hardware. âą Collaborate with cloud and content processing engineers to establish robust and efficient workflows for automated processing of diverse user input data into our streaming format âą Proactively follow and apply the latest computer graphics research related to novel view synthesis on mobile devices, such as radiance fields, differentiable rendering, and photogrammetry âą Clearly communicate research findings and technical concepts to both technical and non-technical stakeholders
âą MS or PhD in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience âą Proven track record leading research which advances the state-of-the-art in areas such as radiance fields, photogrammetry, machine learning for graphics, or real-time rendering with publications in top-tier conferences or journals in related fields (e.g., SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML) âą Strong understanding of modern 3D rendering pipelines and concepts âą Experience with radiance fields (e.g., Gaussian splatting, NeRF) and related novel spatial representation techniques is highly desirable. âą Excellent programming skills in Python and C++ âą Experience with performance optimization and writing efficient code for resource-constrained environments âą Ability to quickly understand and implement complex research papers âą Demonstrated ability to be outcome-focused and deliver working code that solves real-world problems âą Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment âą Excellent communication and collaboration skills
âą Comprehensive benefits including Medical, Dental, and Vision âą Flexible Spending Account for medical and dependent expenses âą Flexible working hours âą Generous PTO Program âą 401K plan âą Technology stipend âą Wellness stipend âą Equity options
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