Digital Signal Processing Engineer

Role: Digital Signal Processing Engineer Location: Ahmedabad, Gujarat, India (On-site) Employment type: Full-time Industry: Space Technology About Catalyx Space: We're building AWS for space—providing in-space experiments and tech demos across LEO, deep space, and lunar orbit. Our offerings include unmanned labs, testbeds for rideshare and dedicated missions, and re-entry capsules for payload return. We simplify access with end-to-end solutions, no minimum mass limits, zero integration fees, and fast deployment (6 months), serving biopharma, semiconductors, materials science, defense, and more. Role: Design, implement, and optimize signal-processing algorithms and firmware for spacecraft communication systems (S-band/X-band). Work spans baseband processing, modulation/demodulation, coding, synchronization, and FPGA/SoC implementations, plus HW/SW integration and validation with GNU Radio and SDR platforms. Key responsibilities: Design & implement DSP algorithms for modulation/demodulation, filtering, synchronization, FEC, and channel estimation. Build real-time signal-processing pipelines for SDR/FPGAs and embedded processors. Implement PHY algorithms (BPSK, QPSK, OQPSK, 8PSK, DVB-S2, etc.) in fixed-point / hardware-efficient forms. Use GNU Radio (and similar) for simulation, prototyping, and HIL validation. Integrate DSP modules with RF front-ends and transceivers (S-band, X-band). Co-design FPGA/SoC architectures with hardware/firmware teams. Run link simulations, BER analysis, and channel modeling for satcom links. Optimize chains for latency, throughput, and power in embedded environments. Qualifications: B.E./B.Tech or M.E./M.Tech in Electronics/Electrical/Communications (or related). 2–6 years in DSP algorithm development for RF/wireless systems. Strong communications theory: modulation, coding, synchronization, spectral efficiency. Error-correction coding background (LDPC, Turbo, Reed–Solomon) and HW implementation. Experience with FMECA/worst-case analysis for DSP/FPGA subsystems. Hands-on FPGA DSP (VHDL/Verilog or HLS) and embedded MCUs. Proficiency in GNU Radio, MATLAB/Simulink, or Python for algorithm design/verification. Familiarity with SDR hardware platforms. Understanding of RF front-end traits (gain, NF, BW, I/Q balance, etc.). Nice to have: DVB-S2/X, CCSDS, or related space comms protocols. RTOS or Linux driver development for SDR systems. Beamforming, MIMO, or adaptive modulation. Experience in satellite comms, CubeSat payloads, or ground-station SDRs. Co-simulation (MATLABFPGA, GNU RadioSoC). Compensation & benefits: Competitive salary (details will be shared with shortlisted candidates), health insurance Provident fund. How to apply: Apply via Zoho Recruit: https://catalyxspace.zohorecruit.in/jobs/Careers/193193000000740154/Digital-Signal-Processing-Engineersource=CareerSite We only contact candidates from @catalyx.space emails. No fees are required at any stage of our hiring process. Equal Opportunity: Catalyx Space is an equal opportunity employer and does not discriminate on any protected characteristic.