{"id":4044967,"url":"https://alion.io/job/interdigital-research-engineer-scientist-wireless-aiml","title":"Research Engineer / Scientist (Wireless + AI/ML)","company":{"id":40047,"name":"InterDigital","domain":"interdigital.com","url":"https://alion.io/company/interdigital","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":10,"ghost_share":0.1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Conshohocken, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Digital Twin","optional":false},{"name":"Edge AI","optional":false},{"name":"Embodied AI","optional":false},{"name":"gRPC","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"MQTT","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TCP/IP","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Wi-Fi","optional":false},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"Multimodal AI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-10T23:32:13Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T23:32:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About InterDigital\nInterDigital 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.\nInterDigital is a registered trademark of InterDigital, Inc.\nFor more information, visit: www.interdigital.com.\nKey Responsibilities\nConduct advanced research in wireless communication systems, including PHY/MAC layers, radio architectures, networking protocols, and end-to-end system design\n\nDesign 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)\n\nDevelop and implement link-level and system-level simulations using tools such as MATLAB, Python, Sionna, or equivalent frameworks\n\nBuild proof-of-concept prototypes (e.g., OAI, SDR, digital twins, edge AI testbeds) and validate concepts on practical platforms or testbeds\n\nPrototype Agentic AI and GenAI workflows for autonomous network planning, troubleshooting, orchestration, and standards-oriented research acceleration\n\nExplore Physical AI concepts that connect perception, sensing, wireless control, robotics/automation, and embodied AI systems over reliable low-latency networks\n\nEvaluate networking protocol behavior across IP, transport, application, RAN/core, edge/cloud, and distributed AI deployment environments\n\nAnalyze and optimize system performance using theoretical and data-driven approaches\n\nContribute to technical reports, publications, and patent filings\n\nCollaborate with cross-functional research teams across wireless, AI, standards, and prototyping groups\n\nRequired Qualifications\nPh.D. recently completed in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.\n\nStrong foundation in one or more of the following areas:\nWireless communications\n\nSignal processing\n\nNetworking\n\nAI/ML for communication systems\n\nDistributed or edge intelligence\n\nSolid knowledge of AI/ML techniques and their application to communication systems including GenAI, Agentic AI, foundation models, and edge learning\nUnderstanding of networking protocols and architectures such as TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routing, SDN/NFV, and edge/cloud networking\n\nProgramming proficiency in Python and MATLAB, with working knowledge of C/C++ and Linux-based development environments\n\nExperience with simulation and programming tools, such as:\nMATLAB, Python, C/C++, or similar scientific and systems programming languages\n\nMachine learning frameworks (e.g., TensorFlow, PyTorch)\n\nDemonstrated ability to translate theory into working simulations or prototypes\n\nPreferred Qualifications\nHands-on experience with:\nSystem-level or link-level simulators (e.g., Sionna or equivalent)\n\nWireless prototyping platforms (e.g., SDRs, OAI testbeds, or real-time systems)\n\nGenerative AI and agent toolchains, including LLM APIs, RAG pipelines, vector databases, prompt/evaluation frameworks, and autonomous agent orchestration\n\nPhysical AI, robotics, sensing, perception, control, embodied AI, or cyber-physical systems integrated with wireless connectivity\n\nMLOps and reproducible AI workflows using Docker, Kubernetes, MLflow, CI/CD, and GPU acceleration (CUDA where applicable)\n\nResearch track record including publications, patents, or technical contributions\n\nFamiliarity with cellular standards (4G/5G/6G evolution)\n\nExperience in AI-native wireless systems, edge intelligence, or semantic communications\n\nStrong software engineering practices (e.g., Git, reproducible research workflows)\n\nAdditional AI technologies: RAG, multimodal/foundation models, edge AI, federated/split learning, digital twins, Physical AI, robotics/automation, sensing, perception, and control\n\nLocations: Conshohocken, PA; Melville, NY;\nWhat You Bring\nCuriosity and passion for pushing the boundaries of wireless and AI convergence\n\nAbility to balance theoretical rigor with practical implementation\n\nStrong analytical, problem-solving, and communication skills\n\nA collaborative mindset aligned with a global research environment\n\nWhy Join InterDigital\nWork at the forefront of 6G, AI-driven networks, and future connectivity paradigms\n\nContribute to technologies that influence global standards and billions of devices\n\nEngage in an environment that values innovation, intellectual property, and research excellence\n\nCollaborate with world-class experts across wireless, video, and AI domains\n\nInterDigital 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.\nA 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.\n______________________________________________________________________________\nÀ propos d’InterDigital\nInterDigital est une société mondiale de recherche et développement axée principalement sur les technologies sans fil, vidéo, intelligence artificielle (« IA ») et technologies connexes. Nous concevons et développons des technologies fondamentales qui permettent des expériences connectées et immersives dans un large éventail de produits et services de communication et de divertissement. Nous accordons des licences sur nos innovations dans le monde entier à des entreprises fournissant ces produits et services, notamment les fabricants d’appareils de communication sans fil, d’électronique grand public, d’appareils IoT, de voitures et autres véhicules motorisés, ainsi que les fournisseurs de services en nuage tels que la diffusion vidéo en continu. En tant que leader dans le domaine des technologies sans fil, nos ingénieurs ont conçu et développé un large éventail d’innovations utilisées dans les produits et réseaux sans fil, des premiers systèmes cellulaires numériques à la 5G et aux technologies Wi-Fi les plus avancées d’aujourd’hui. Nous sommes également un leader dans le traitement vidéo et la technologie de codage/décodage vidéo, avec un effort de recherche significatif en IA qui recoupe les technologies sans fil et vidéo. Fondée en 1972, InterDigital est cotée au Nasdaq. InterDigital est une marque déposée d’InterDigital, Inc.\nPour plus d’informations, visitez : www.interdigital.com\nResponsabilités principales\nMener des recherches avancées sur les systèmes de communication sans fil, notamment les couches PHY/MAC, les architectures radio, les protocoles réseau et la conception de systèmes de bout en bout\n\nConcevoir et évaluer des algorithmes sans fil basés sur l’IA/ML (par ex., communications sémantiques, communications IA agentiques et basées sur les intentions, optimisation de réseau assistée par GenAI, allocation de ressources, intelligence en périphérie)\n\nDévelopper et mettre en œuvre des simulations au niveau du lien et au niveau du système en utilisant des outils tels que MATLAB, Python, Sionna ou des environnements équivalents\n\nConstruire des prototypes de preuve de concept (par ex., OAI, SDR, jumeaux numériques, bancs d’essai IA en périphérie) et valider les concepts sur des plateformes ou bancs d’essai pratiques\n\nDévelopper des workflows IA agentique et GenAI pour la planification autonome de réseaux, le dépannage, l’orchestration agentique et l’accélération de la recherche orientée vers les normes\n\nExplorer des concepts d’IA physique reliant la perception, la détection, le contrôle sans fil, la robotique/l’automatisation et les systèmes d’IA incarnés sur des réseaux fiables à faible latence\n\nÉvaluer le comportement des protocoles réseau dans les environnements IP, transport, application, RAN/cœur, périphérie/nuage et déploiement d’IA distribuée\n\nAnalyser et optimiser les performances des systèmes en utilisant des approches théoriques et basées sur les données\n\nContribuer aux rapports techniques, publications et dépôts de brevets\n\nCollaborer avec des équipes de recherche transversales dans les domaines du sans fil, de l’IA, des normes et des groupes de prototypage\n\nQualifications requises\nDoctorat récemment obtenu en génie électrique, génie informatique, informatique, ou dans un domaine étroitement connexe.\n\nSolides bases dans un ou plusieurs des domaines suivants :\nCommunications sans fil\n\nTraitement du signal\n\nRéseaux\n\nIA/ML pour les systèmes de communication\n\nIntelligence distribuée ou en périphérie\n\nSolide connaissance des techniques d’IA/ML et de leur application aux systèmes de communication, notamment GenAI, IA agentique, modèles de fondation et apprentissage en périphérie\nCompréhension des protocoles et architectures réseau tels que TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routage, SDN/NFV et réseaux périphériques/en nuage\n\nMaîtrise de la programmation en Python et MATLAB, avec une connaissance pratique de C/C++ et des environnements de développement Linux\n\nExpérience avec les outils de simulation et de programmation, tels que :\nMATLAB, Python, C/C++ ou langages de programmation scientifiques et systèmes similaires\n\nEnvironnements d’apprentissage automatique (par ex., TensorFlow, PyTorch)\n\nCapacité avérée à traduire la théorie en simulations ou prototypes fonctionnels\n\nQualifications souhaitées\nExpérience pratique avec :\nSimulateurs au niveau du système ou du lien (par ex., Sionna ou équivalent)\n\nPlateformes de prototypage sans fil (par ex., SDR, bancs d’essai OAI ou systèmes en temps réel)\n\nIA générative et chaînes d’outils d’agents, notamment APIs LLM, pipelines RAG, bases de données vectorielles, environnements de prompt/évaluation et orchestration d’agents autonomes\n\nIA physique, robotique, détection, perception, contrôle, IA incarnée ou systèmes cyber-physiques intégrés à la connectivité sans fil\n\nMLOps et workflows IA reproductibles utilisant Docker, Kubernetes, MLflow, CI/CD et accélération GPU (CUDA le cas échéant)\n\nBilan de recherche incluant des publications, brevets ou contributions techniques\n\nFamiliarité avec les normes cellulaires (évolution 4G/5G/6G)\n\nExpérience dans les systèmes sans fil natifs IA, l’intelligence en périphérie ou les communications sémantiques\n\nBonnes 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