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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
We are looking for a talented AI Researcher to join our Wi-Fi MAC team and help shape the next generation of intelligent wireless systems. This role sits at the intersection of AI/ML and advanced Wi-Fi technologies, focusing on applying machine learning to complex Wi-Fi scenarios and, conversely, adapting Wi-Fi systems to better support AI workloads - AI for Wi-Fi and Wi-Fi for AI.
You will work closely with Wi-Fi protocol experts to explore, design, and prototype AI-driven solutions for MAC-layer optimization, performance enhancement, and intelligent decision-making in real-world wireless environments.
Key Responsibilities
Research and develop AI/ML techniques for Wi-Fi MAC-layer challenges (e.g., scheduling, rate control, congestion management, fairness, latency, and reliability).
Embed AI models into complex Wi-Fi system setups and scenarios, including dense networks and multi-user environments.
Analyze large-scale Wi-Fi datasets, simulations, and traces to train and evaluate ML models.
Collaborate with Wi-Fi experts to translate protocol behavior into ML-friendly features and learning objectives.
Explore how Wi-Fi systems can be optimized to support AI workloads, including data collection, inference efficiency, and real-time constraints.
Prototype, test, and validate ideas using simulation tools, testbeds, or experimental platforms.
Contribute to technical documentation, design discussions, and long-term architectural decisions.
You will work closely with Wi-Fi protocol experts to explore, design, and prototype AI-driven solutions for MAC-layer optimization, performance enhancement, and intelligent decision-making in real-world wireless environments.
Key Responsibilities
Research and develop AI/ML techniques for Wi-Fi MAC-layer challenges (e.g., scheduling, rate control, congestion management, fairness, latency, and reliability).
Embed AI models into complex Wi-Fi system setups and scenarios, including dense networks and multi-user environments.
Analyze large-scale Wi-Fi datasets, simulations, and traces to train and evaluate ML models.
Collaborate with Wi-Fi experts to translate protocol behavior into ML-friendly features and learning objectives.
Explore how Wi-Fi systems can be optimized to support AI workloads, including data collection, inference efficiency, and real-time constraints.
Prototype, test, and validate ideas using simulation tools, testbeds, or experimental platforms.
Contribute to technical documentation, design discussions, and long-term architectural decisions.
Requirements:
BSc or MSc in Electrical Engineering, Computer Science, or a related field.
3+ years of experience in wireless networking, particularly in MAC-layer protocols for Wi-Fi and/or other wireless communication systems.
3+ years experience in Machine Learning/AI, working with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Solid understating of ML-pipeline: data ingestion, pre-processing, training and evaluation
Hands on experience training or fine-tuning ML Models or LLMs.
Strong programming skills in Python and/or C/C++.
Preferred / Advantage Qualifications
Familiarity with Wi-Fi standards (e.g., 802.11n/ac/ax/be) or MAC-layer concepts.
Experience with network simulators or tools (e.g., ns-3, Wireshark).
Research experience or publications in networking or AI-related domains.
PhD with a research focus in AI/ML, wireless networking, or related systems is highly desirable.
BSc or MSc in Electrical Engineering, Computer Science, or a related field.
3+ years of experience in wireless networking, particularly in MAC-layer protocols for Wi-Fi and/or other wireless communication systems.
3+ years experience in Machine Learning/AI, working with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Solid understating of ML-pipeline: data ingestion, pre-processing, training and evaluation
Hands on experience training or fine-tuning ML Models or LLMs.
Strong programming skills in Python and/or C/C++.
Preferred / Advantage Qualifications
Familiarity with Wi-Fi standards (e.g., 802.11n/ac/ax/be) or MAC-layer concepts.
Experience with network simulators or tools (e.g., ns-3, Wireshark).
Research experience or publications in networking or AI-related domains.
PhD with a research focus in AI/ML, wireless networking, or related systems is highly desirable.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
