Advanced Engineer, Additive Process
Hyliion · Austin, Texas · United States · On-site
Posted Sep 30, 2026
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Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy.
This is an onsite role only.
Job Purpose and Overview
Step into the world of metal additive manufacturing for the KARNO generator , where advanced laser powder-bed fusion meets real engineering challenge. Engineers in this group work across machine behavior, process optimization, material performance, data analytics, and hardware development to ensure high-quality, repeatable production using metal laser powder-bed fusion systems.
If you’re the kind of engineer who enjoys digging into machine behavior, fine-tuning laser strategies, studying how materials evolve layer by layer, and pushing metal AM systems to run cleaner, faster, and more consistently, this team is built for you. The work is hands-on, data-driven, and central to scaling a first-of-its-kind distributed power technology.
In this role, you’ll move across the entire additive manufacturing ecosystem. You’ll investigate how machine settings influence melt pools, porosity, and microstructure, and you’ll design controlled experiments to refine parameters and boost repeatability. A big part of the job involves troubleshooting machine quirks, interpreting sensor data, and making sense of real-time process feedback. You’ll also be working closely with design, materials, and hardware teams to bring complex AM components from early prototypes into reliable production. Along the way, you’ll help build the systems, standards, and workflows that turn metal AM into a high-trust, high-reliability manufacturing process for power-generation hardware.
Duties and Responsibilities:
Parameter Development Focus
Identify and optimize critical-to-function (CTF) parameters that drive mechanical performance, density, porosity, microstructure, and repeatability.
Design and execute experiments (DOE) to map the process window, understand sensitivities, and reduce variation.
Build and maintain parameter sets for new alloys, new hardware, and new machine configurations.
Work with sensor data, log files, and monitoring systems to correlate in-process signatures with part quality.
Develop statistical models, SPC controls, and trend analysis tools to ensure stable production behavior.
Machine Development Focus
Improve AM machine capability through hardware tuning, sensor integration, calibration routines, and control-system optimization.
Lead machine troubleshooting, repair activities, and upgrades to improve uptime, repeatability, and print speeds.
Conduct machine characterization using advanced tools and metrology equipment to map laser optics, powder behavior, thermal gradients, and recoater performance.
Support machine-level IQ/OQ/MQ qualification and ongoing PM/maintenance strategies.
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