Description
machine troubleshooting
process optimization
sensor integration
statistical modeling
simulation software
automation
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.
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.
These engineers sit at the core of enabling scalable, high-performance additive manufacturing for the KARNO generator platform. Your work directly influences machine capability, part quality, manufacturability, and the timeline for scaling production of a first-of-its-kind power-generation technology.
Drive automation, digital manufacturing, and data-acquisition improvements for machine performance monitoring.
- Lead machine troubleshooting, repair activities, and upgrades to improve uptime, repeatability, and print speeds.
- Design and execute experiments (DOE) to map the process window, understand sensitivities, and reduce variation.
- Conduct machine characterization using advanced tools and metrology equipment to map laser optics, powder behavior, thermal gradients, and recoater performance.
- Improve AM machine capability through hardware tuning, sensor integration, calibration routines, and control-system optimization.
- Work with sensor data, log files, and monitoring systems to correlate in-process signatures with part quality.
- Collaborate with equipment vendors and internal engineering teams on new machine features, experimental setups, and pilot systems.
- Develop statistical models, SPC controls, and trend analysis tools to ensure stable production behavior.
- Build prep/simulation software like ANSYS Additive Suite, 3DXpert, or Dyndrite.
- Support machine-level IQ/OQ/MQ qualification and ongoing PM/maintenance strategies.
- Build and maintain parameter sets for new alloys, new hardware, and new machine configurations.
- Identify and optimize critical-to-function (CTF) parameters that drive mechanical performance, density, porosity, microstructure, and repeatability.
Requirements
lpbf
bsc engineering
cad
python
5+ years
problem solving
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.
This is a salaried, exempt-level position. This position typically works in an office environment; and given the nature of our business is also exposed to operations/warehouses/production environments.
- Ability to interpret engineering drawings, apply GD&T, and understand material properties data.
- Experience troubleshooting AM machines, calibrating optics, repairing systems, or working with machine sensors and controls.
- Direct, hands-on experience with laser powder bed fusion (LPBF) additive manufacturing REQUIRED.
- Bachelor’s degree in mechanical, materials science, aerospace, or related engineering discipline.
- Ability to lift and/or move up to 50 pounds.
- Knowledge of DFAM principles, heat-treat processes, and additive-appropriate material behaviors (e.g., nickel alloys, titanium).
- Experience in a fast-paced R&D or startup hardware environment.
- Ability to travel domestically, as needed, by plane, automobile, etc. approximately 30% of the time,
- Strong analytical and root-cause problem-solving skills.
- Requires a minimum of 5 years of engineering experience after earning a bachelor’s degree; relevant graduate project work can be applied toward requirements.
- Background in fabrication, prototyping, testing, or process development within an engineering environment.
- Strong communication skills and ability to present findings to cross-functional teams.
- Comfortable working hands-on with machines, tools, test equipment, and mechanical assemblies.
- Familiarity with CAD tools (NX, SolidWorks, or similar) and simulation/analysis workflows.
- Experience with IQ/OQ/MQ qualification approaches.
- Experience developing AM parameters, designing DOEs, or using statistical analysis tools (SPC, JMP, Minitab, Python, MATLAB).
Benefits
- Voluntary Critical Illness Plans
- Medical Plans, with PPO or HDHP options
- Health Savings Account (HSA)
- Long Term Disability, paid for by the company
- Flexible Spending Accounts (FSA)
- Vision Plan
- Voluntary Accident Plans
- Short Term Disability, paid for by the company
- Hospital Indemnity Plan
- Dental Plans, with buy-up option
- Life Insurance and Accidental Death & Dismemberment Plans, with buy-up options
- 401k/Roth 401k
Training + Development
Information not given or found