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About InterDigital

InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence ("AI"), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.

InterDigital is a registered trademark of InterDigital, Inc.

For more information, visit:www.interdigital.com.

Key Responsibilities

• Conduct advanced research in wireless communication systems, including PHY/MAC layers, radio architectures, networking protocols, and end-to-end system design

• Design and evaluate AI/ML-driven wireless algorithms (e.g., semantic communications, intent based and agentic AI communications, GenAI-assisted network optimization, resource allocation, edge intelligence)

• Develop and implement link-level and system-level simulations using tools such as MATLAB, Python, Sionna, or equivalent frameworks

• Build proof-of-concept prototypes (e.g., OAI, SDR, digital twins, edge AI testbeds) and validate concepts on practical platforms or testbeds

• Prototype Agentic AI and GenAI workflows for autonomous network planning, troubleshooting, orchestration, and standards-oriented research acceleration

• Explore Physical AI concepts that connect perception, sensing, wireless control, robotics/automation, and embodied AI systems over reliable low-latency networks

• Evaluate networking protocol behavior across IP, transport, application, RAN/core, edge/cloud, and distributed AI deployment environments

• Analyze and optimize system performance using theoretical and data-driven approaches

• Contribute to technical reports, publications, and patent filings

• Collaborate with cross-functional research teams across wireless, AI, standards, and prototyping groups

Required Qualifications

• Ph.D. recently completed in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.

• Strong foundation in one or more of the following areas:

  • Wireless communications

  • Signal processing

  • Networking

  • AI/ML for communication systems

  • Distributed or edge intelligence

• Solid knowledge of AI/ML techniques and their application to communication systems including GenAI, Agentic AI, foundation models, and edge learning

  • Understanding of networking protocols and architectures such as TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routing, SDN/NFV, and edge/cloud networking

  • Programming proficiency in Python and MATLAB, with working knowledge of C/C++ and Linux-based development environments

• Experience with simulation and programming tools, such as:

  • MATLAB, Python, C/C++, or similar scientific and systems programming languages

  • Machine learning frameworks (e.g., TensorFlow, PyTorch)

• Demonstrated ability to translate theory into working simulations or prototypes

Preferred Qualifications

• Hands-on experience with:

  • System-level or link-level simulators (e.g., Sionna or equivalent)

  • Wireless prototyping platforms (e.g., SDRs, OAI testbeds, or real-time systems)

  • Generative AI and agent toolchains, including LLM APIs, RAG pipelines, vector databases, prompt/evaluation frameworks, and autonomous agent orchestration

  • Physical AI, robotics, sensing, perception, control, embodied AI, or cyber-physical systems integrated with wireless connectivity

  • MLOps and reproducible AI workflows using Docker, Kubernetes, MLflow, CI/CD, and GPU acceleration (CUDA where applicable)

• Research track record including publications, patents, or technical contributions

• Familiarity with cellular standards (4G/5G/6G evolution)

• Experience in AI-native wireless systems, edge intelligence, or semantic communications

• Strong software engineering practices (e.g., Git, reproducible research workflows)

• Additional AI technologies: RAG, multimodal/foundation models, edge AI, federated/split learning, digital twins, Physical AI, robotics/automation, sensing, perception, and control

Locations: Conshohocken, PA; Melville, NY;

What You Bring

• Curiosity and passion for pushing the boundaries of wireless and AI convergence

• Ability to balance theoretical rigor with practical implementation

• Strong analytical, problem-solving, and communication skills

• A collaborative mindset aligned with a global research environment

Why Join InterDigital

• Work at the forefront of 6G, AI-driven networks, and future connectivity paradigms

• Contribute to technologies that influence global standards and billions of devices

• Engage in an environment that values innovation, intellectual property, and research excellence

• Collaborate with world-class experts across wireless, video, and AI domains

InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person's sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.

A reasonable estimate of the current salary range specific to NY/CA/DE/DCis $80,000- $120,000/annually + discretionary incentive bonus, benefits andmayinclude other forms of compensation components such as long-term incentives.Compensation for the role will depend ona number offactors, including a candidate's qualifications, skills,competenciesand experience and may fall outside of the range shown.

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A propos d'InterDigital

InterDigital est une societe mondiale de recherche et developpement axee principalement sur les technologies sans fil, video, intelligence artificielle (IA) et technologies connexes. Nous concevons et developpons des technologies fondamentales qui permettent des experiences connectees et immersives dans un large eventail de produits et services de communication et de divertissement. Nous accordons des licences sur nos innovations dans le monde entier a des entreprises fournissant ces produits et services, notamment les fabricants d'appareils de communication sans fil, d'electronique grand public, d'appareils IoT, de voitures et autres vehicules motorises, ainsi que les fournisseurs de services en nuage tels que la diffusion video en continu. En tant que leader dans le domaine des technologies sans fil, nos ingenieurs ont concu et developpe un large eventail d'innovations utilisees dans les produits et reseaux sans fil, des premiers systemes cellulaires numeriques a la 5G et aux technologies Wi-Fi les plus avancees d'aujourd'hui. Nous sommes egalement un leader dans le traitement video et la technologie de codage/decodage video, avec un effort de recherche significatif en IA qui recoupe les technologies sans fil et video. Fondee en 1972, InterDigital est cotee au Nasdaq. InterDigital est une marque deposee d'InterDigital, Inc.

Pour plus d'informations, visitez: www.interdigital.com

Responsabilites principales

• Mener des recherches avancees sur les systemes de communication sans fil, notamment les couches PHY/MAC, les architectures radio, les protocoles reseau et la conception de systemes de bout en bout

• Concevoir et evaluer des algorithmes sans fil bases sur l'IA/ML (par ex., communications semantiques, communications IA agentiques et basees sur les intentions, optimisation de reseau assistee par GenAI, allocation de ressources, intelligence en peripherie)

• Developper et mettre en uvre des simulations au niveau du lien et au niveau du systeme en utilisant des outils tels que MATLAB, Python, Sionna ou des environnements equivalents

• Construire des prototypes de preuve de concept (par ex., OAI, SDR, jumeaux numeriques, bancs d'essai IA en peripherie) et valider les concepts sur des plateformes ou bancs d'essai pratiques

• Developper des workflows IA agentique et GenAI pour la planification autonome de reseaux, le depannage, l'orchestration agentique et l'acceleration de la recherche orientee vers les normes

• Explorer des concepts d'IA physique reliant la perception, la detection, le controle sans fil, la robotique/l'automatisation et les systemes d'IA incarnes sur des reseaux fiables a faible latence

• Evaluer le comportement des protocoles reseau dans les environnements IP, transport, application, RAN/cur, peripherie/nuage et deploiement d'IA distribuee

• Analyser et optimiser les performances des systemes en utilisant des approches theoriques et basees sur les donnees

• Contribuer aux rapports techniques, publications et depots de brevets

• Collaborer avec des equipes de recherche transversales dans les domaines du sans fil, de l'IA, des normes et des groupes de prototypage

Qualifications requises

• Doctorat recemment obtenu en genie electrique, genie informatique, informatique, ou dans un domaine etroitement connexe.

• Solides bases dans un ou plusieurs des domaines suivants:

  • Communications sans fil

  • Traitement du signal

  • Reseaux

  • IA/ML pour les systemes de communication

  • Intelligence distribuee ou en peripherie

• Solide connaissance des techniques d'IA/ML et de leur application aux systemes de communication, notamment GenAI, IA agentique, modeles de fondation et apprentissage en peripherie

  • Comprehension des protocoles et architectures reseau tels que TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routage, SDN/NFV et reseaux peripheriques/en nuage

  • Maitrise de la programmation en Python et MATLAB, avec une connaissance pratique de C/C++ et des environnements de developpement Linux

• Experience avec les outils de simulation et de programmation, tels que:

  • MATLAB, Python, C/C++ ou langages de programmation scientifiques et systemes similaires

  • Environnements d'apprentissage automatique (par ex., TensorFlow, PyTorch)

• Capacite averee a traduire la theorie en simulations ou prototypes fonctionnels

Qualifications souhaitees

• Experience pratique avec:

  • Simulateurs au niveau du systeme ou du lien (par ex., Sionna ou equivalent)

  • Plateformes de prototypage sans fil (par ex., SDR, bancs d'essai OAI ou systemes en temps reel)

  • IA generative et chaines d'outils d'agents, notamment APIs LLM, pipelines RAG, bases de donnees vectorielles, environnements de prompt/evaluation et orchestration d'agents autonomes

  • IA physique, robotique, detection, perception, controle, IA incarnee ou systemes cyber-physiques integres a la connectivite sans fil

  • MLOps et workflows IA reproductibles utilisant Docker, Kubernetes, MLflow, CI/CD et acceleration GPU (CUDA le cas echeant)

• Bilan de recherche incluant des publications, brevets ou contributions techniques

• Familiarite avec les normes cellulaires (evolution 4G/5G/6G)

• Experience dans les systemes sans fil natifs IA, l'intelligence en peripherie ou les communications semantiques

• Bonnes pratiques d'ingenierie logicielle (par ex., Git, workflows de recherche reproductibles)

• Technologies IA supplementaires: RAG, modeles multimodaux/de fondation, IA en peripherie, apprentissage federe/partage, jumeaux numeriques, IA physique, robotique/automatisation, detection, perception et controle

Lieux: Conshohocken, Pennsylvania; Melville, New York;

Ce que vous apportez

• Curiosite et passion pour repousser les limites de la convergence sans fil et IA

• Capacite a equilibrer la rigueur theorique avec la mise en uvre pratique

• Solides competences analytiques, de resolution de problemes et de communication

• Un etat d'esprit collaboratif aligne sur un environnement de recherche mondial

Pourquoi rejoindre InterDigital

• Travailler a l'avant-garde de la 6G, des reseaux pilotes par l'IA et des futurs paradigmes de connectivite

• Contribuer a des technologies qui influencent les normes mondiales et des milliards d'appareils

• Evoluer dans un environnement qui valorise l'innovation, la propriete intellectuelle et l'excel...