RF Power Amplifier Design Engineer
GreenWave Radios™
| Company | GreenWave Radios™ |
| Category | Uncategorised |
| Location | San Diego |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 10 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays.
Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation.
To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website.
About the Role
As an RF Power Amplifier Design Engineer, you'll report to the VP of Engineering and drive the development of ultra-high-efficiency RF power amplifiers for our 5G cellular base station solutions. Our PA technology sits at the heart of a system-level approach to dramatically cutting base station power consumption, and this role puts you on the critical path from concept through volume production. This full-time position is based in San Diego, CA.
What You'll Do
Develop ultra-high-efficiency RF power amplifiers (PAs) for 5G FR1 base station solutions
Evaluate and adapt the use of available transistors and amplifiers for the design of these PAs in various (Gan, GaAs, LDMOS) technologies as applicable
Design, simulate, and debug/evaluate RF PAs, presenting results to peers and stakeholders throughout the design cycle
As simulation is imperfect, extract relevant empirical data to hone in on design targets
Partner with Systems, RF/Analog, Digital, and Firmware engineers to deliver a complete base station solution
Own RF PA designs through volume production, resolving issues that surface along the way
Document your designs and teach them to peers, integrators, and customers
What You Bring
BSEE required, MSEE or PhD preferred
Six or more years of direct, hands-on RF discrete PA design experience
Proven experience across the full high-efficiency PA development cycle: device selection, evaluation and modeling, circuit design, linear and nonlinear simulation, PCB layout and parasitic extraction (EM analysis), and lab debug/bring-up/performance optimization
Working knowledge of efficiency-enhancement PA architectures such as (multi-level) Doherty, outphasing, active load modulation, and envelope restoration
Design experience spanning 0.5 MHz-6 GHz, with a solid understanding of higher-frequency effects
Strong grasp of device biasing, RF dependencies, and (temperature) compensation techniques
Excellent RF test and measurement skills
Solid understanding of nonlinear effects, compensation methods, and transmitter linearization techniques
Fluency with SMT component selection and associated impairments
Expert-level use of industry-standard RF design tools (e.g., Keysight ADS)
Analytical, disciplined problem-solving approach paired with excellent communication and presentation skills
Nice to Have
Working knowledge of transmitter linearization algorithms and their capabilities
Custom device process selection, design, and implementation experience
Broad exposure to RF passive (distributed) structures
Sharp understanding of the relationships between CW and modulated device operation and performance
Deep knowledge of PCB materials for RF design, including cost, reliability, and other tradeoffs
Familiarity with RF PA-specific mechanical and thermal management approaches
Experience with foundry model/PDK installation and use
Interest in or experience with AI-assisted test data analysis and ML-base
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