InterDigital, Inc.

www.interdigital.com

8 Jobs

563 Employees

About the Company

InterDigital develops mobile and video technologies at the core of devices, networks, and services worldwide. Solving our industry’s most critical technical challenges, InterDigital invents solutions for more efficient broadband networks, better video delivery, and richer multimedia experiences years ahead of market deployment. Founded in 1972, InterDigital has licenses and strategic relationships with the world’s leading technology companies.

Listed Jobs

Company Name: InterDigital, Inc.
Job Title: Intern, Compression of 3D Gaussian Splat Representations Using Video-Based and 3D-Based Techniques
Job Description: **Job Title** Intern, Compression of 3D Gaussian Splat Representations Using Video-Based and 3D-Based Techniques **Role Summary** Develop and evaluate software pipelines for compressing 3D Gaussian Splat (3DGS) data through video‑codec projection and 3D geometry‑codec adaptation. Collaborate with research teams to design, implement, and benchmark novel compression methods, contributing to prototypes, documentation, and potentially patented solutions. **Expactations** - Deliver fully functional C++ modules and Python scripts that compress 3DGS sequences. - Validate compression performance on multiple public datasets and compare against baseline methods. - Produce clear technical reports and present findings at internal review sessions. - Contribute to patent filings and standardization discussions related to 3DGS compression. **Key Responsibilities** - Analyze existing 3DGS compression technologies and identify key bottlenecks. - Design compression algorithms leveraging 2D video codecs and 3D geometry codecs. - Implement, test, and validate compression pipelines in C++ and Python. - Benchmark compression ratios, reconstruction quality, and encoding/decoding speed. - Explore hybrid strategies combining video‑ and 3D‑based approaches. - Document architecture, code, and experimental results for internal dissemination. - Participate in multidisciplinary research discussions and presentations. **Required Skills** - Strong programming abilities in C++ and Python. - Knowledge of data compression principles, 3D graphics, geometry processing, or computer vision. - Ability to work in a research environment and produce reproducible results. - Excellent written and verbal communication in English. **Required Education & Certifications** - Currently enrolled in a Master’s program (or Ph.D.) in Computer Engineering, Computer Science, Software Engineering, or a closely related field. - No mandatory certifications; a background in applied research and a portfolio of relevant projects are preferred.

Company Name: InterDigital, Inc.
Job Title: Intern, Distributed Inference for Multi-Modal Large Language Models (MLLMs) with Agentic AI Orchestration
Job Description: **Job title**: Intern – Distributed Inference for Multi‑Modal Large Language Models (MLLMs) with Agentic AI Orchestration **Role Summary**: Support research and prototype development for a distributed inference framework that splits MLLM workloads between client and server endpoints, coordinated by an agentic orchestration layer. Work closely with a research team to survey state‑of‑the‑art models, design distributed strategy prototypes, and evaluate performance metrics. **Expectations**: - Build a reference platform implementing selected MLLMs and agentic architecture. - Design, implement, and test one or more distributed inference strategies in Python. - Measure latency, data transfer, and energy consumption; analyze results to demonstrate feasibility. - Contribute to an academic paper, patent, or other scientific output. **Key Responsibilities**: 1. Survey recent MLLM advances and choose representative models. 2. Collaborate with teammates to select an agentic orchestration architecture. 3. Implement reference MLLM models and integrate them into a reference platform. 4. Propose distributed inference strategies tailored to client/server constraints. 5. Develop Python prototypes implementing the strategies (PyTorch, ONNX optional). 6. Conduct experiments, collect performance metrics (latency, bandwidth, energy). 7. Document methodology, results, and insights for research dissemination. **Required Skills**: - Strong background in AI/ML, especially large language models. - Understanding of multi‑modal systems (text, vision, speech). - Proficiency in Python and deep‑learning frameworks (PyTorch; optionally TensorFlow). - Research aptitude and rapid prototyping capability. - Familiarity with distributed systems concepts, networking, and bandwidth considerations is a plus. - Experience with ONNX or model exporting frameworks preferred. **Required Education & Certifications**: - Enrolled in a Master’s program (or advanced undergraduate) in Computer Science, Artificial Intelligence, Data Science, or a related field.

Company Name: InterDigital, Inc.
Job Title: Intern, View-Dependent Realistic Human Faces for Real-Time Avatar Communication
Job Description: Job Title: Intern, View‑Dependent Realistic Human Faces for Real‑Time Avatar Communication Role Summary: Support development of a real‑time facial animation platform leveraging 3D Gaussian Splatting (3DGS) and MPEG ARF standards to create high‑fidelity, view‑dependent human face avatars for immersive communication. Expectations: Deliver research‑grade patents, peer‑reviewed publications, and demonstrable software prototypes that advance view‑dependent rendering technologies. Key Responsibilities: - Design and implement a real‑time animation pipeline based on 3DGS technology and MPEG ARF. - Propose and evaluate avatar representation formats—including mesh‑based, AI‑driven, and 3DGS‑based approaches. - Collaborate on neural rendering experiments (e.g., NeRF, Gaussian splats) to improve visual fidelity and performance. - Prepare technical documentation, demos, and publication‑quality materials. Required Skills: - Strong foundation in 3D computer vision, computer graphics, and rendering algorithms. - Proficiency with 3D modeling tools (Maya, Houdini, Blender). - Experience with neural rendering (NeRF) and Gaussian splat techniques. - Knowledge of MPEG ARF standards and real‑time animation systems. - Ability to implement algorithms in C++/Python, use GPU acceleration (CUDA/OpenGL/DirectX). - Familiarity with version control (Git) and collaborative development workflows. Required Education & Certifications: - Master’s degree in 3D computer vision, computer graphics, 3D modeling, or related field. - Coursework or project experience covering neural networks, advanced rendering, and animation. - Demonstrated experience with Maya, Houdini, or Blender in an academic or professional setting.

Company Name: InterDigital, Inc.
Job Title: 6G Technology Research, Intern (6 mths)
Job Description: **Job Title:** 6G Technology Research Intern **Role Summary:** Intern to support 6G research by developing solutions, algorithms, and protocols for future wireless systems. Focus on analyzing emerging technologies for standardization and long-term innovation. **Expectations:** Drive feasibility assessments of new use cases and technologies. Propose, evaluate, and demonstrate potential solutions through analytical and simulation-based analyses. **Key Responsibilities:** - Monitor and analyze technological trends to align innovation efforts. - Study state-of-the-art emerging technologies for next-gen mobile networks. - Identify innovation opportunities and develop novel solutions. - Evaluate solution viability through testing, simulations, and evaluations. - Present findings in publications and support intellectual property development. **Required Skills:** - Research experience in telecommunications, including published papers or patents. - Proficiency in simulation development (MATLAB/Python). - Strong analytical, problem-solving, and multitasking abilities. - English fluency for communication and documentation. **Required Education & Certifications:** - Master’s degree (PhD preferred) in Electrical Engineering, Computer Science, Mathematics, or related technical fields. - Experience with AI model training/inference or Nvidia CUDA platform is advantageous.

London, United kingdom

Hybrid

Fresher

01-01-2026

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