Software Engineer – Manufacturing Integration; ACE

Software Engineer – Manufacturing Integration (ACE)

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.

Forge the Future:
Join Voyager Technologies

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 Software Engineer – Manufacturing Integration (ACE) to connect the Agentic Computational Engineering platform to factories and machine shops. In this role, you will build the software that translates AI‑generated designs into executable manufacturing instructions and closes the loop between the digital and physical worlds. You will also develop the infrastructure required to encode manufacturing constraints directly into the engineering process before any design has started.

You will work at the intersection of CAM, factory systems, and AI, ensuring that when an agent says “design complete,” the shop floor can say “job started.” This role is ideal for someone who cares deeply about real hardware getting built and who is excited to seamlessly bridge AI design with hardware manufacturing.

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.

• Develop integrations between CAD/CAM systems and shop‑floor equipment (CNC machines, printers, inspection tools) to automate manufacturing workflows.
• Work with partner manufacturers to develop the framework that allows our agentic system to design with their manufacturing constraints already baked in.
• Build services and scripts that generate toolpaths, feeds, speeds, and process plans from 3D models and process constraints.
• Implement virtual commissioning and digital twin simulations to validate manufacturing plans and detect collisions or infeasible operations.
• Integrate factory systems (MES, ERP, inventory) with the ACE platform so design decisions are aware of material availability and capacity.
• Capture and route manufacturing quality data (CMM measurements, photos, in‑process sensors) back into the design and learning loops.
• Collaborate with manufacturing, quality, and AI teams to define robust, traceable interfaces between design and production.
• Use LLMs or scripting to automate repetitive integration and data‑munging tasks around the factory stack.

• Clearance Required:
  
  Ability to obtain and maintain a U.S. Top Secret Security Clearance.
• 0–5 years of experience in industrial automation, robotics, manufacturing software, or related domains (new graduates with strong hands‑on projects encouraged to apply).
• Programming skills in Python and/or C++, with experience integrating with machine controllers, PLCs, or industrial protocols (e.g., OPC‑UA, MTConnect) from internships or projects.
• Familiarity with CAM workflows and G‑code, and understanding of CNC machining…