Research Engineer / Scientist (Wireless + AI/ML)

InterDigital, Inc.•Conshohocken, PA

3d•$80,000 - $120,000

About The Position

InterDigital is hiring a Research Engineer / Scientist to conduct research at the intersection of wireless communications and AI/ML. The role focuses on wireless communication systems—including PHY/MAC layers, radio architectures, networking protocols, and end-to-end system design—and on designing and evaluating AI/ML-driven wireless algorithms, such as semantic communications, agentic and intent-based communications, GenAI-assisted network optimization, resource allocation, and edge intelligence. The position develops link-level and system-level simulations and proof-of-concept prototypes, then validates concepts on practical platforms or testbeds. It also explores agentic AI, GenAI, and Physical AI applications for network planning and operations, connected sensing and robotics, and reliable low-latency communications. The researcher analyzes system performance, contributes to technical reports, publications, and patent filings, and collaborates with teams working across wireless, AI, standards, and prototyping. Locations are Conshohocken, Pennsylvania, and Melville, New York.

Requirements

Recently completed Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
Strong foundation in one or more of wireless communications, signal processing, networking, AI/ML for communication systems, or 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, including MATLAB, Python, C/C++, or similar scientific and systems programming languages, and machine learning frameworks such as TensorFlow or PyTorch.
Demonstrated ability to translate theory into working simulations or prototypes.
Curiosity and passion for the convergence of wireless and AI.
Ability to balance theoretical rigor with practical implementation.
Strong analytical, problem-solving, and communication skills.
Collaborative mindset aligned with a global research environment.

Nice To Haves

Hands-on experience with system-level or link-level simulators such as Sionna or equivalent.
Experience with wireless prototyping platforms such as SDRs, OAI testbeds, or real-time systems.
Experience with generative AI and agent toolchains, including LLM APIs, RAG pipelines, vector databases, prompt/evaluation frameworks, and autonomous agent orchestration.
Experience with Physical AI, robotics, sensing, perception, control, embodied AI, or cyber-physical systems integrated with wireless connectivity.
Experience with 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 and 4G/5G/6G evolution.
Experience in AI-native wireless systems, edge intelligence, or semantic communications.
Strong software engineering practices, such as Git and reproducible research workflows.
Experience with additional AI technologies, including RAG, multimodal or foundation models, edge AI, federated or split learning, digital twins, Physical AI, robotics/automation, sensing, perception, and control.

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, including semantic communications, agentic and intent-based communications, GenAI-assisted network optimization, resource allocation, and edge intelligence.
Develop and implement link-level and system-level simulations using MATLAB, Python, Sionna, or equivalent frameworks.
Build proof-of-concept prototypes, such as OAI, SDR, digital twins, and 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 connecting perception, sensing, wireless control, robotics or 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.