Research Engineer / Scientist (Wireless + AI/ML)

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 (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 (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, 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 EEO Statement 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. #J-18808-Ljbffr