Digital Signal Processing Engineer

Catalyx Space Inc.; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A space technology company is seeking a Digital Signal Processing Engineer in India to design and optimize algorithms for spacecraft communication systems. You'll work on real-time implementations and collaborate with hardware teams. Ideal candidates should have experience in DSP development, Digital communication theory, and FPGA systems. This role offers opportunities to contribute to exciting space missions.

Qualifications

• 2–6 years of experience in DSP algorithm development for RF or wireless communication systems.
• Strong understanding of digital communication theory.
• Hands-on experience with FPGA-based DSP implementation.

Responsibilities

• Design and implement DSP algorithms for modulation/demodulation.
• Develop real-time signal processing pipelines for SDR/FPGAs.
• Collaborate with hardware and firmware teams for FPGA/SoC architectures.

Skills

DSP algorithm development

Digital communication theory

VHDL/Verilog or HLS

GNU Radio

MATLAB/Simulink or Python

Education

B.E./B.Tech or M.E./M.Tech in relevant fields

Tools

FPGA-based DSP implementation

SDR hardware platforms

Job description

We're building AWS for space, providing space experiments and technology demonstrations across LEO, deep space, and lunar orbit.

Our offerings include unmanned labs, testbeds for both dedicated and rideshare missions, and re-entry capsules for payload retrieval.

We simplify access to space with affordable pricing, end‑to‑end solutions, no minimum mass limits, zero integration fees, and quick deployment (6 months or less).

We serve biopharma, semiconductors, materials science, defense, and more.

Job Description

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).