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Falcomm Tech Stack
Fabless RF power amplifier design for wireless, satellite, and defense
Falcomm designs RF power amplifiers and front-end modules for wireless, satellite, and defense applications. The engineering stack—MATLAB, Cadence, Synopsys, HFSS, PyTorch, TensorFlow—reflects a hybrid chip-design and ML-heavy operation. Active projects show early-stage ML integration into design workflows (model training/serving, ML model integration into chip design software) alongside core RF validation work, suggesting the team is automating parts of the design loop. Hiring is accelerating (18 of 26 roles posted in the last 30 days) and heavily weighted toward engineering and interns, consistent with a pre-production fabless startup scaling design and test capacity.
Tech Stack 41 technologies
Core StackMATLAB Python Pandas NumPy PyTorch TensorFlow scikit-learn Linux pandas HFSS SciPy Git Cadence Synopsys Mentor Graphics Bash Matplotlib Plotly Cadence Virtuoso Agilent ADS Spectre Keysight ADS GoldenGate Ansys HFSS KLayout Verilog SystemVerilog TCL ANSYS COMSOL+11 more
What Falcomm Is Building
◆Challenges
- Improving office efficiency
- Complex thermal challenges
- Volume production transition
- Improving rf performance and yield
- Cost efficiency
- Stable material supply
- Supplier performance improvement
- Ensuring long-term reliability of rfics
- Identifying failure mechanisms
▲Active Projects
- Develop automated test lab equipment
- Mm-wave power amplifier evaluation boards
- Co-design high efficiency mm-wave power amplifiers
- 3d em modelling of passive structures
- Ml model training/serving in chip design
- Linux compute cluster maintenance
- Prototype and test rfic designs
- Evaluate and select materials and components for rf circuit design
- Office efficiency system development
- Ml model integration into chip design software
Hiring Activity
25 roles · 20 in 30d
Department
Seniority
Company intelligence
