Research Engineer - 6G AI-Enabled Systems and Testbeds at InterDigital in Conshohocken, PA
- Company: InterDigital
- Location: Conshohocken, PA
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-04
All open roles at InterDigital
Job description
About InterDigital InterDigital 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 both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq. InterDigital is a registered trademark of InterDigital, Inc. For more information, visit: www.interdigital.com. Position Summary InterDigital is seeking a research engineer to join its Wireless Research team in the area of AI-enabled systems. This role is ideal for a recent Ph.D. graduate or Ph.D. candidate nearing completion who combines a strong theoretical grounding in AI/ML with demonstrated hands-on experience to build and evaluate working systems/prototypes. The near-term priority for this position is to design, integrate, and evaluate end-to-end research testbeds and demonstrations for AI-enabled wireless and cellular systems. The researcher will turn research concepts into working prototypes, measurable experiments, and compelling demonstrations across 6G radio access, core/service functions, transport and application protocols, sensing, and edge/cloud compute. Over time, the role will expand into invention generation, technical publications, and standards activities, including 3GPP. The strongest candidates bring AI/ML depth and expertise working across traditional boundaries, including RAN and core/service architecture, upper and lower layers of the protocol stack, AI algorithms and systems implementation. InterDigital is seeking a candidate motivated to grow at the intersection of wireless, AI, and end-to-end systems research. Prior 3GPP contribution experience is helpful but not required. Key Responsibilities Conduct advanced research on AI-enabled mobile networks and emerging 6G systems, with emphasis on interactions among the RAN, core and service architecture, transport and application layers, edge/cloud computing, and distributed AI. 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, Omniverse/Isaac Sim), 5G/6G Open-Source Projects (e.g., OAI, OCUDU, Open5GS), SDRs, network emulation, edge services, digital twins, and GPU-accelerated AI platforms. Bridge theoretical research and practical implementation by iteratively validating new ideas through simulations and testbeds, analyzing 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 realisti
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