Digital Communications Space Systems Engineer Level 4

Indotronix International Corporation•El Segundo, CA

5d•Onsite

About The Position

Indotronix is seeking an Onsite Job - Digital Communications Space Systems Engineer Level 4. This role involves designing, modeling, and analyzing end-to-end communications systems, including waveforms, terminal networks, and ground/space hubs. The engineer will apply Digital Signal Processing (DSP) and digital communications principles to MILSATCOM and commercial systems. Responsibilities include conducting constellation-level trade studies, optimizing resource scheduling, integrating subsystems, managing software quality, and creating technical visualizations. The position requires translating multi-subsystem constraints into actionable engineering trades and collaborating with multidisciplinary teams.

Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or a related technical discipline.
2–5 years of relevant engineering experience in satellite communications, constellation design, systems engineering, or MS&A.
Proficiency in Python or MATLAB for scientific computing and data analysis.
Strong foundation in digital communications and digital signal processing (DSP) fundamentals.
Hands-on experience using modeling and simulation tools for RF and digital communications analysis.
Familiarity with space system design concepts, link budgets, coverage analysis, beam pattern synthesis, and orbital visibility assessments.
Demonstrated experience conducting system-of-systems trade studies and technical evaluations.
Proven ability to synthesize and present complex technical results clearly.
Bachelor's degree with 9+ years of experience, Master's degree with 7+ years of experience, or PhD with 4+ years of experience.
Degree in Engineering, Computer Science, Mathematics, Physics, or Chemistry from an accredited program.

Nice To Haves

Proficiency in both Python and MATLAB, including modern software development practices.
Direct experience modeling US Government satellite communications (SATCOM) or sensing systems.
Experience with constellation-level resource scheduling, mission planning algorithms, or optimization frameworks.
Experience developing, extending, or refactoring custom MS&A simulation engines and pipelines.
Proficiency with Git/GitLab version control and collaborative CI/CD workflows.
Experience producing advanced technical visualization and animation assets for space missions.

Responsibilities

Model, design, and analyze end-to-end communications systems, including waveforms, terminal networks, and ground/space hubs using purpose-built simulation tools.
Apply Digital Signal Processing (DSP) and digital communications principles, including modulations, Forward Error Correction (FEC), and standard waveform families for MILSATCOM and commercial systems (e.g., PTW, DVB-S2/S2X, W-CDMA).
Perform detailed link budget and closure analyses accounting for nonlinear distortion, adjacent-channel/self-interference, intentional jamming, and advanced threat environments.
Conduct constellation-level trade studies and performance analyses across multi-vehicle space architectures.
Evaluate multi-variable trade-offs (cost, priority, coverage, throughput) for constellation mission operations.
Optimize dynamic allocation and scheduling of constellation resources, including time, RF bandwidth, transmit power, and onboard data storage.
Translate multi-subsystem constraints into actionable engineering trades and optimization models.
Partner with multidisciplinary teams to ensure high-fidelity system representations and drive architecture decisions.
Review, validate, and document simulation models and analytical codebases.
Maintain version control and collaborative development workflows using modern configuration management tools (e.g., Git/GitLab).
Build high-impact visualizations, including interactive dashboards, dynamic data graphics, and mission concept videos.
Present simulation findings and technical trade-offs clearly to stakeholders to inform critical program decisions.