Staff AI/ML Research Engineer - Qualcomm, Hod HaSharon, Israel

Company

Qualcomm Israel Ltd.

Job Area

Engineering Group, Engineering Group > Modem Technologies

General Summary

Location: Hod Hasharon

Team: AI/ML Research

5 days onsite Hod Hasharon

Why this role matters

We are advancing AI for communication for 6G and beyond. in this role you will design novel learning algorithms and build research prototypes that learn from live network conditions while respecting bandwidth, latency, privacy, and reliability constraints; powering use cases such as scheduling optimization, beam management, mobility robustness, anomaly detection, QoE improvements, and training as a service capability.

What You’ll Do

• Implement and prototype distributed learning algorithms spanning UEs and gNBs, modeled on AWS servers, and tailored to real‑world cellular network constraints.
• Contribute to the research cycle—hypothesis, design, experimentation, analysis and delivery of pilot‑ready prototypes in collaboration with senior researchers.
• Define evaluation methodology and KPIs, and run controlled experiments to validate impact.
  
  

Minimum Qualifications

• 5 in software/ML systems (or equivalent), which includes building deep learning training pipelines in Python/PyTorch.
• Demonstrated expertise in distributed learning (research & prototyping) and in reasoning about trade‑offs across bandwidth, latency, compute and reliability.
• LLM pre‑training experience is a plus.
• Experience in digital communication protocols is a plus.
  
  

Minimum Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience.
  
  

OR

Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience.

• References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
  
  

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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