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Interdigital

Licenses wireless and video technology patents

Research Engineer - 6G AI-Enabled Systems and Testbeds

AI ResearchConfirmed live in the last 24 hours
Full-timeConshohocken, PA, USANo salary listedIn-person

About the Job

Requirements

  • A Master's degree is required in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field; a PhD is preferred.
  • A strong theoretical foundation and hands-on experience in artificial intelligence and machine learning, demonstrated through development and evaluation of working software, simulations, prototypes, experiments, or testbeds.
  • A strong foundation in wireless, mobile, networked, or cyber-physical systems, with the ability and motivation to work across radio access network, core network, service, transport, application, and edge/cloud layers.
  • Demonstrated ability to translate research ideas into working software, simulations, prototypes, experiments, or testbeds rather than limiting work to conceptual analysis alone.
  • Programming proficiency in Python and experience with C and C++, together with practical experience in Linux-based development environments.
  • Experience with one or more machine-learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Ability to debug and integrate complex multi-component systems and reason across interfaces and layers of an end-to-end architecture.
  • Strong written and verbal communication skills, including the ability to explain complex technical concepts and document research results clearly.
  • Ability to balance near-term prototype delivery with longer-term research objectives.

Responsibilities

  • Conduct advanced research on AI-enabled mobile networks and emerging 6G systems, emphasizing interactions among the radio access network, core and service architecture, transport and application layers, edge/cloud computing, and distributed artificial intelligence.
  • Architect, implement, integrate, and operate end-to-end research testbeds and proof-of-concept systems using technologies such as physics-based simulators (e.g., CARLA and Omniverse/Isaac Sim), 5G/6G open-source projects (e.g., OAI, OCUDU, and Open5GS), software-defined radios, network emulation, edge services, digital twins, and GPU-accelerated AI platforms.
  • Validate research ideas iteratively through simulations and testbeds, analyze experimental results to refine concepts, uncover new research directions, and accelerate innovation in AI-enabled wireless systems.
  • Develop and evaluate AI/ML techniques for communication and networked systems, including agentic and multi-agent AI, generative AI, learning-based optimization, perception and sensor fusion, and context-aware decision making.
  • Build prototypes of AI-enabled networking and distributed-intelligence concepts, which may include agentic AI, semantic-aware networking, control-loop communications, Physical AI, intent-driven services, and context-aware adaptation.
  • Design rigorous experiments and system metrics; evaluate performance under congestion, mobility, imperfect sensing, limited radio or compute resources, and other realistic operating conditions.
  • Develop research software, simulations, automation, visualization, and instrumentation using Python, C/C++, MATLAB, Linux, AI frameworks, and reproducible software-development practices.
  • Translate research results into technical reports, architecture documents, invention disclosures and patent filings, publications, demonstrators, and over time, contributions to 3GPP and other relevant standards bodies.
  • Collaborate with cross-functional teams spanning wireless, video/media, AI, standards, product demonstration, and prototyping groups; share technical knowledge and help guide interns.

Desired Qualifications

  • Hands-on experience with cellular research platforms such as OpenAirInterface, open-source 5G Core implementations, O-RAN components, software-defined radios, network emulators, or real-time wireless testbeds.
  • Familiarity with 3GPP Core Network, RAN, and systems architecture, including QoS flows, network exposure, policy control, session management, user-plane functions, and edge computing; prior standards contribution experience is helpful but not required.
  • Experience with agentic AI and GenAI toolchains, including LLM APIs, retrieval-augmented generation, tool use, evaluation frameworks, vector databases, and multi-agent orchestration.
  • Experience with Physical AI, robotics, autonomous systems, computer vision, multi-modal sensing, ISAC, spatial mapping, digital twins, AR/XR, CARLA, NVIDIA Omniverse, ROS, or related simulation and prototyping environments.
  • Knowledge of AI, transport, and application protocols used in distributed real-time systems, such as MCP, A2A, TCP/IP, UDP, QUIC, Media over QUIC, HTTP/2 or HTTP/3, gRPC, and MQTT.
  • Experience with system-level or link-level simulation tools such as Sionna, ns-3, MATLAB-based simulators, or equivalent frameworks.
  • Experience with cloud-native and reproducible research workflows using Git, Docker, Kubernetes, CI/CD, MLflow or similar experiment tracking, and GPU acceleration.
  • Research track record demonstrated through publications, patents, standards-related work, open-source software, or major integrated prototypes.

About the Company

Interdigital

Licenses wireless and video technology patents

InterDigital develops wireless and video technologies and builds a large portfolio of patents. It invents new technologies, patents them, and licenses the intellectual property to mobile device makers, networks, and services providers. Its products work by providing foundational technologies that enable devices and networks to communicate and deliver video services, and its revenue comes from licensing those patents rather than selling hardware. What sets InterDigital apart is its extensive patent portfolio (tens of thousands of patents and applications), its focus on contributing technologies to global standards, and its licensing-based business model that monetizes R&D. The company operates worldwide with major manufacturers and technology companies as clients, aiming to influence the telecommunications ecosystem through standards participation. The goal is to enable connected and immersive experiences by developing and licensing foundational wireless and video technologies.

Company size
501-1,000
Company stage
IPO
Headquarters
Claymont, DE
Founded
1972

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