Senior SW Engineer ACE (PCB Design),

Voyager Technologies, Inc.•Los Angeles, CA

28d

About The Position

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. ____________________________________________________________________________________ Job Summary: 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.

Requirements

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 flies or operates in demanding environments (propulsion, structures, mechanisms).
Strong programming skills in Python or C++, with experience automating CAD and CAE tools (e.g., SolidWorks, Creo, Ansys, COMSOL, Star-CCM+) or experience with ECAD tools (Altium, etc.).
Hands-on familiarity with CFD, FEA, SPICE, or related numerical simulation methods.
Proven ability to lead cross-functional engineering projects and mentor junior engineers.
Evidence of a “builder” mindset: side projects, labs, or prior roles where you pushed tools, simulations, or hardware well beyond what was handed to you.

Nice To Haves

In-depth knowledge and experience across both PCB and mechanical design would make for the strongest candidates.
Experience with topology optimization, shape optimization, or differentiable design workflows and ideas on new generative approaches that will push the boundaries of what is possible.
Experience with auto-routing, automated schematic generation, or other automation approaches for electronics design.
Practical experience with machining, 3D printing, or other fabrication techniques.
Background in plasma physics, fluid dynamics, or thermodynamics as applied to propulsion.
Experience working with AI or automation to accelerate CAD/CAE/EDA workflows.
A personal history of building things for fun—rockets, race cars, robots, or any other kinetic or electrical systems.

Responsibilities

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.