Senior Software Engineer – ACE Applications Lead; Mechanical​/Propulsion​/PCB

Senior Software Engineer – ACE Applications Lead (Mechanical/Propulsion/PCB)

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission‑critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.

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The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality.

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,
forge the future with Voyager.

We are seeking a Senior Software Engineer – Agentic Computational Engineering Applications Lead (Mechanical/Propulsion/PCB) to serve as the senior domain leader for AI‑driven mechanical, propulsion, and/or PCB design within the ACE team. In this role, you will lead applications that generate and evaluate designs for systems such as Hall effect thrusters, solid rocket motors, nozzles, structural hardware, and radiation‑hardened electronics.

You will bridge computational physics, CAD automation, and manufacturing constraints to ensure that AI‑generated designs are physically valid and buildable. You will own a critical slice of the ACE application roadmap and help mentor a small group of exceptional engineers. This role is for someone who loves both hard physics, hard software, and hardware, and who is motivated by compressing the path from “idea” to “hot fire” by orders of magnitude.

You will be joining the Agentic Computational Engineering (ACE) team, a specialized group within our Advanced Technology Development organization. ACE is responsible for building Voyager’s Generative Engine – the AI‑native platform that compresses complex hardware development cycles from years to days. We design agentic AI systems that pair deeply with physics simulation, test data, and modern manufacturing so that Design for Manufacturing (DfM), Design for Assembly (DfA), and Design for Test (DfT) are built into the very first line of code and the very first sketch of a design.

• Own the roadmap for AI applications that generate 3D geometry (STEP/Parasolid) and/or end‑to‑end PCB design from performance requirements and constraints.
• Lead development of automated loops between MCAD and ECAD agents and simulation agents (CFD, FEA, PIC, thermal, SI/PI, etc.), including meshing, solving, and post‑processing.
• Embed manufacturability constraints (e.g., tool access, stock sizes, 5‑axis machinability, additive manufacturing limits, via drilling constraints, etc.) into design checks and AI behavior.
• Develop and apply topology optimization and shape optimization workflows (or invent new generative methods) that output usable, production‑ready geometry.
• Collaborate with propulsion, mechanical, electrical, and manufacturing engineers to validate AI‑generated designs against test data and operational constraints.
• Mentor and guide more junior engineers and AI specialists working on mechanical, propulsion, electrical, and/or PCB applications.
• Partner with the Agentic Platform Lead to ensure application requirements inform platform capabilities and performance priorities.
• Champion an experimentation culture around simulation speedups, new physics models, and novel generative design workflows.

• Master’s degree + 5 years, or PhD + 3 years, in Mechanical or Aerospace Engineering, Computational Engineering, Electrical Engineering, Physics, or a related field; or equivalent practical experience.
• Experience designing and analyzing real hardware that…