RF Integration Engineer (Onsite) – Antennas & Test Automation

Zuven technologies Inc; San Jose (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

Zuven Technologies Inc. seeks an RF Integration Engineer to join our onsite team in San Jose. You will engage in bring-up, simulation, integration, and validation of innovative antenna and radio designs, testing RF subsystems and automating measurement workflows.

The role requires hands-on hardware experience, proficiency in Python/C++/MATLAB/LabVIEW, and knowledge of wireless architectures. Collaboration with cross-functional teams is essential for delivering high-quality results.

Qualifications

• Education: BSEE with 3+ years HW product development and testing.
• Proficiency in Python, C++, MATLAB, and/or LabVIEW.
• Hands-on experience with microwave/measurement equipment (Network/Spectrum Analyzers, Power Meters, Vector Signal Analyzers/Generators, traffic generators, and wireless sniffers).
• Familiarity with wireless architectures (radio front ends, antennas, amplifiers, RF switches, filters, couplers from 450–7125 MHz) and wireless networking (path loss/channel models, traffic generation).
• Willingness to learn or prior experience with ADS, CST, HFSS and Cadence.

Responsibilities

• Assist with bring-up, simulation, integration, and validation of antenna and radio designs.
• Test wireless/RF subsystem performance against metrics and report results.
• Automate test equipment to improve cycle efficiency.
• Present findings to cross-functional teams.

Skills

RF design

Wireless architectures

Schematic/Layout

Electrical troubleshooting

Education

BSEE (MSEE preferred)

Tools

Python

C++

MATLAB

LabVIEW

ADS

CST

HFSS

Cadence

Microwave test equipment

Job description

Zuven Technologies Inc. seeks an RF Integration Engineer to join our onsite team in San Jose. You will engage in bring-up, simulation, integration, and validation of innovative antenna and radio designs, testing RF subsystems and automating measurement workflows.

The role requires hands-on hardware experience, proficiency in Python/C++/MATLAB/LabVIEW, and knowledge of wireless architectures. Collaboration with cross-functional teams is essential for delivering high-quality results.