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; Montréal, QC, Canada  

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