Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
As part of Amazon's Low Earth Orbit (LEO) satellite team, you will design and implement wireless communication algorithms for custom silicon powering a constellation of 3,236 satellites delivering broadband internet globally. You will develop Digital Signal Processing (DSP) solutions for satellite modem ASICs, working at the intersection of wireless systems theory and hardware implementation. Your algorithms will enable reliable high-speed data links between satellites, ground stations, and customer terminals operating under challenging conditions including rapid Doppler shift, atmospheric fading, and strict power constraints.
NOTE: This is a full-time position, meaning candidates should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager.
NOTE: By applying to this position, your application will be considered for all Application-Specific Integrated Circuit roles at all locations we hire for in the United States including but not limited to: San Diego Area, Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).
Key job responsibilities
As a DSP/Wireless Systems ASIC Engineer, you will work with a cross-disciplinary team of RF engineers, ASIC designers, and systems architects to develop the signal processing algorithms that form the core of our satellite communication system.
Responsibilities:
- Design and simulate wireless communication algorithms using MATLAB and Python
- Convert floating-point DSP algorithms to fixed-point for hardware implementation
- Develop and optimize OFDM waveforms for satellite links
- Analyze BER/SNR performance across channel conditions and Doppler profiles
- Collaborate with RTL and RF/RFIC teams to translate algorithms into hardware
- Apply ML/deep learning to signal processing (e.g., channel prediction, interference cancellation)
A day in the life
You might start your morning running MATLAB simulations to evaluate a new channel estimation algorithm under LEO-specific Doppler conditions. After analyzing BER curves, you'll work with the RTL team to discuss fixed-point bit-width requirements for your latest equalizer design. In the afternoon, you could be optimizing an OFDM synchronization scheme to handle the rapid frequency offsets unique to LEO satellite links, or running Python scripts to validate your algorithm against 5G NR reference models. Your work directly determines whether a customer terminal can maintain a reliable gigabit connection as satellites pass overhead at 17,000+ mph.
BASIC QUALIFICATIONS
- Currently has, or is in the process of obtaining, a Bachelor's degree or above in Electrical Engineering, Computer Engineering, or related fields
- Experience in communication theory, OFDM, MIMO, Digital/Wireless Communication Systems or RF engineering
- Knowledge of analog and digital skills
- Experience with MATLAB and/or Python for algorithm development and simulation
PREFERRED QUALIFICATIONS
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering, or experience in communication theory, OFDM, MIMO, Digital/Wireless Communication Systems or RF engineering
- Experience in embedded wireless systems, or experience in embedded development in C/C++
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in embedded wireless systems
- Knowledge of communication systems fundamentals (modulation, coding, channel modeling)
- Experience converting floating-point algorithms to fixed-point for hardware/ASIC implementation
- Experience with BER/SNR analysis and link budget optimization
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Diego - 122,600.00 - 170,000.00 USD annually
