LabVIEW Programmer

About the Company

Mission Microwave Technologies was founded in 2014 to revolutionize the next generation of Solid-State Power Amplifiers (SSPAs) and Block Upconverters (BUCs). We leverage advanced GaN transistors, proprietary power-combining techniques, and innovative full-system designs to deliver the industry’s most efficient, compact, and lightweight high-power SSPAs.

With more than 100 years of combined leadership experience supplying high-performance, high-reliability RF solutions to commercial, military, and space customers, Mission Microwave has grown rapidly over the past decade and is backed by a private equity firm committed to long-term innovation and expansion.

We are proud to be ranked #23 on Fortune’s Best Workplaces in Manufacturing & Production and to have been recognized as a Great Place to Work® since 2022.

Mission Microwave is headquartered at 6060 Phyllis Drive, Cypress, CA 90603.

About the Role

Are you a LabVIEW expert who loves building elegant, high-efficiency automation systems? Do you get energized by turning complex RF/microwave test requirements into software that is fast, accurate, and rock-solid? If so, you’ll thrive as a LabVIEW Programmer at Mission Microwave Technologies.

In this role, you will develop, optimize, and maintain the automated test and data-acquisition systems that ensure the performance and reliability of our cutting-edge RF and microwave products. You’ll work at the intersection of software engineering, hardware validation, and hands-on lab work — supporting both high-volume production and next-generation engineering development.

What You’ll Do

• Develop, debug, and maintain LabVIEW-based software for automated test systems, DAQ, instrument control, and engineering test benches.
• Interface with industry-standard RF/microwave instruments—signal generators, VNAs, spectrum analyzers, power meters, and more—across GPIB, USB, LAN, PXI, and other protocols.
• Collaborate with RF engineers, test engineers, and manufacturing teams to transform test requirements into scalable software architectures, test sequences, GUIs, and reporting tools.
• Ensure software reliably measures key RF/microwave performance metrics including gain, power, efficiency, noise figure, and linearity.
• Apply modern software engineering best practices: modular design, clean code, documentation, version control, and maintainability.
• Upgrade and optimize legacy test platforms to enhance speed, reliability, and user experience.
• Provide hands-on support on the factory floor—troubleshooting hardware/software interactions, commissioning systems, and resolving issues quickly.
• Drive continuous improvement initiatives around automation workflows, data management, and instrument integration.
• Support new product introduction (NPI), ensuring test software scales with production throughput, yield, and quality goals.
• Participate in system integration and test-fixture discussions, aligning software architecture with hardware and manufacturing strategies.

What You Bring

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related technical field
• 5 years developing LabVIEW applications in test automation or DAQ environments
• 3 years experience with RF/microwave test and measurement
• Hands-on experience controlling oscilloscopes, VNAs, signal generators, power meters, DAQs, and similar lab equipment
• Advanced proficiency in LabVIEW (G-language), including modular design and state-machine architectures
• Strong understanding of GPIB, USB, Ethernet, LXI, and related instrumentation protocols
• Excellent troubleshooting and root-cause analysis skills—especially for software/hardware interactions
• Ability to work in a fast-paced lab and manufacturing environment with engineers, technicians, and QA teams
• Self-driven, detail-oriented, and collaborative, with a strong sense of ownership and responsibility
• Ability to handle sensitive information with discretion

Bonus Points

• LabVIEW certification (CLD, CLA)
• Experience with LabVIEW Analytics or Machine Learning Toolkit
• Familiarity with Matlab, Python, and/or R
• Experience with GPUs, FPGAs, or NPUs