Amazon
Sr. Communication Systems Research Scientist – Radio Resource Management
$159K–$248K
Austin, TX +2 · Senior · Full-time · Posted Sep 29, 2026
- Location
- Austin, TX
Sunnyvale, CA
Redmond, WA - Experience
- 7+ years professional experience working in wireless communications at the system or implementation level.
- Education
- Master's degree in Electrical Engineering, or experience working in electrical engineering field.
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Leads research and system design for radio resource management and radio access in Amazon Leo’s 3GPP-compliant direct-to-device satellite network.
What you'll do
- Research and specify RRM algorithms, including scheduling, link adaptation, mobility, beam management, and spectrum sharing.
- Develop link- and system-level simulators; use agentic AI to support development, optimization, testing, and debugging.
- Translate research into implementation specifications, support integration and field trials, and represent Amazon Leo in standards organizations.
What they ask for
- Master's degree in Electrical Engineering, or experience working in electrical engineering field.
- 7+ years professional experience working in wireless communications at the system or implementation level.
- Demonstrated experience in radio resource management for 3GPP systems (LTE, 5G NR or NTN).
- Experience developing and running link-level or system-level wireless simulators in Matlab, Python or C++, using agentic AI as a tool for development, test and debugging.
Nice to have
- PhD with emphasis in wireless communication systems, radio resource management, or network optimization.
- Experience with 3GPP standardization, direct-to-device or mobile satellite systems, and simulator design.
Pay
USD 183,000.00 - 247,600.00 annually (base salary); USD 159,200.00 - 215,300.00 annually (base salary); USD 159,200.00 - 215,300.00 annually (base salary)
Tools
3GPP, LTE, 5G NR, NTN, Matlab, Python, C++, 5GC/EPC
AI focus
Agentic AI is used to develop and refactor simulation code, scale parameter sweeps, optimize RRM parameters, explore configurations, maintain regression tests, and triage failures; the scientist remains accountable for algorithms, models, and conclusions.
Model-written summary · the original posting is authoritative