Jobs at TRL11, Inc.

Lead end-to-end mechanical development and sustainment of space avionics and electro-optical hardware. Define requirements, produce detailed designs and drawings, select suppliers, support prototyping and environmental testing, qualify vendors, implement manufacturing processes, investigate failures, and mentor other engineers to deliver reliable flight-capable products.

Support the CEO and executive team with admin, sales/marketing, finance, and logistics. Manage and execute special projects, coordinate cross-functional meetings, prepare reports and presentations, act as liaison between leadership and departments, monitor progress, and research opportunities to align company strategy and improve performance.

Lead and build IT and cybersecurity functions, own the system security plan, prepare for CMMC Level 2 certification, integrate business systems, provide hands-on IT support, and scale security and IT teams in a hardware-plus-software startup.

Lead and build the finance function for a scaling aerospace technology company. Own day-to-day financial operations (AP/AR, invoicing, cash, close), reporting, forecasting, budgeting, ERP implementation, government accounting readiness, fundraising support, internal controls, and hiring/structuring the finance team as the company grows.

Design, develop, and maintain embedded Linux software including device drivers and kernel modules. Build video processing, encoding, and streaming applications, implement APIs/protocols, manage CI/CD and containerization, debug and optimize system performance, and collaborate across teams.

Design, develop, and deploy real-time computer vision and video-processing algorithms for embedded, resource-constrained platforms. Optimize AI/ML models for high-frame-rate systems with GPU/FPGA and multi-core processing, integrate sensors and cameras, participate in full SDLC, evaluate and optimize performance, debug pipelines, document work, and mentor junior engineers.

Design, develop, and implement real-time computer vision and video processing pipelines on embedded platforms. Optimize AI/ML models for resource-constrained systems (GPU/FPGA), evaluate and debug high-frame-rate machine vision, integrate sensors/cameras, participate in full software lifecycle, document work, and mentor junior engineers.