We are looking for a Digital Signal Processing (DSP) Engineer to design, implement, and optimize signal processing algorithms and firmware for spacecraft communication systems. You will work on baseband processing, modulation/demodulation, coding, synchronization, and FPGA-based implementations for S-band and X-band transceivers. The role spans algorithm development, real-time implementation on SoCs or FPGAs, hardware-software integration, and validation using GNU Radio and SDR platforms.
Key Responsibilities:
Design and implement DSP algorithms for modulation/demodulation, filtering, synchronization, FEC, and channel estimation.
Develop real-time signal processing pipelines for SDR/FPGAs and embedded processors.
Implement and test physical layer algorithms (BPSK, QPSK, OQPSK, 8PSK, DVB-S2, etc.) in fixed-point or hardware-efficient forms.
Work with SDR frameworks such as GNU Radio for simulation, prototyping, and hardware-in-the-loop validation.
Integrate DSP modules with RF front-end and transceiver hardware (S-band, X-band).
Collaborate with hardware and firmware teams to co-design FPGA/SoC architectures.
Perform link simulations, BER analysis, and channel modeling for satellite communication links.
Optimize signal chains for latency, throughput, and power consumption in embedded environments.
Required Skills & Qualifications:
B.E./B.Tech or M.E./M.Tech in Electronics, Electrical, Communications, or related fields.
2–6 years of experience in DSP algorithm development for RF or wireless communication systems.
Strong understanding of digital communication theory modulation, coding, synchronization, and spectral efficiency.
Background in error correction coding (LDPC, Turbo, Reed–Solomon) and hardware implementation.
Experience in FMECA, worst-case analysis, and failure-rate modeling of DSP/FPGA subsystems.
Hands-on experience with FPGA-based DSP implementation (VHDL/Verilog or HLS) and embedded microcontrollers.
Proficiency in GNU Radio, MATLAB/Simulink, or Python for algorithm design and verification.
Familiarity with SDR hardware platforms.
Understanding of RF front-end characteristics (gain, noise figure, bandwidth, I/Q balance, etc.).
Nice to Have (Preferred):
Experience with DVB-S2/X, CCSDS, or similar space communication protocols.
Familiarity with real-time OS or Linux driver development for SDR systems.
Exposure to beamforming, MIMO, or adaptive modulation schemes.
Prior experience in satellite communication systems, CubeSat payloads, or ground station SDRs.
Experience with co-simulation environments (MATLAB–FPGA or GNU Radio–SoC integration).
Willingness to work extended hours and/or weekends as needed.
Skills Required
- B.E./B.Tech or M.E./M.Tech degree in Electronics, Electrical, Communications, or a related field
- 2-6 years of experience in DSP algorithm development for RF or wireless communication systems
- Strong understanding of digital communication theory, modulation, coding, synchronization, and spectral efficiency
- Experience with error correction coding, including LDPC, Turbo, or Reed-Solomon, and hardware implementation
- Experience with FMECA, worst-case analysis, and failure-rate modeling of DSP/FPGA subsystems
- Hands-on experience with FPGA-based DSP implementation using VHDL, Verilog, or HLS
- Experience with embedded microcontrollers
- Proficiency in GNU Radio, MATLAB/Simulink, or Python for algorithm design and verification
- Familiarity with SDR hardware platforms
- Understanding of RF front-end characteristics, including gain, noise figure, bandwidth, and I/Q balance
- Experience with DVB-S2/X, CCSDS, or similar space communication protocols
- Familiarity with real-time operating systems or Linux driver development for SDR systems
- Exposure to beamforming, MIMO, or adaptive modulation schemes
- Prior experience with satellite communication systems, CubeSat payloads, or ground-station SDRs
- Experience with MATLAB-FPGA or GNU Radio-SoC co-simulation and integration
- Willingness to work extended hours or weekends as needed
What We Do
Catalyx Space Inc. develops orbital return vehicles and integrated space infrastructure for heavy-mass, high-power, high-volume missions. Its offerings span launch logistics, in-orbit operations, payload integration, mission control, and recovery, along with unmanned laboratories, testbeds, and reusable re-entry capsules. The company targets space logistics, in-space manufacturing, research, defense, and other commercial applications across low Earth orbit and beyond through vertically integrated mission services.
