Research Engineer, Wireless, AI/ML

InterDigital, Inc.

. Conduct advanced research in wireless communication systems, including PHY/MAC layers, radio architectures, networking protocols, and end-to-end system design .

Posted 11/10/2026full-timeUnited StatesMid-LevelSenior💰 $80,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in wireless communication systems, AI/ML-driven algorithms, and system design, with proficiency in simulation and programming tools such as MATLAB and Python. Strong foundation in networking protocols and the ability to develop prototypes for advanced communication solutions.

Highest-signal resume keywords

Ph.D. In Electrical EngineeringWireless CommunicationsAI/ML Techniques For Communication SystemsProgramming Proficiency In Python And MATLABSimulation And Prototyping Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Wireless Communication SystemsAI/ML AlgorithmsSignal ProcessingNetworking ProtocolsMATLABPythonC/C++Machine Learning FrameworksSimulation ToolsData-Driven Optimization

Soft Skills

CollaborationTechnical ReportingResearch Publication

Tools & Technologies

TensorFlowPyTorchOAISDRDigital TwinsEdge AI TestbedsLinux-Based Development Environments

Industry Keywords

GenAIAgentic AIDistributed IntelligenceEdge ComputingLow-Latency Networks

Tech Stack

Tools & technologies

CloudGRPCLinuxPythonPyTorchTCP/IPTensorflowC++

About the role

Key responsibilities & impact

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 for semantic communications, intent-based and agentic AI 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 using 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/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

Requirements

What you’ll need

Ph.D. recently completed 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/edge intelligence
Solid knowledge of AI/ML techniques applied to communication systems, including GenAI, Agentic AI, foundation models, and edge learning
Understanding of TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routing, SDN/NFV, and edge/cloud networking
Programming proficiency in Python and MATLAB
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
Experience with machine learning frameworks such as TensorFlow or PyTorch
Demonstrated ability to translate theory into working simulations or prototypes

Benefits

Comp & perks

Discretionary incentive bonus
Benefits
Potential long-term incentives
Opportunity to work at the forefront of 6G, AI-driven networks, and future connectivity paradigms
Opportunity to contribute to technologies influencing global standards and billions of devices
Innovative environment valuing intellectual property and research excellence
Collaboration with world-class experts across wireless, video, and AI domains