Advanced Engineer, Additive Process

Job Description

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.

Skills and Requirements

Bachelor’s degree in mechanical, materials science, aerospace, or related engineering discipline.

Requires a minimum of 5 years of engineering experience after earning a bachelor’s degree; relevant graduate project work can be applied toward requirements.

Direct, hands-on experience with laser powder bed fusion (LPBF) additive manufacturing REQUIRED.

Background in fabrication, prototyping, testing, or process development within an engineering environment.

Ability to interpret engineering drawings, apply GD&T, and understand material properties data.

Strong analytical and root-cause problem-solving skills.

Comfortable working hands-on with machines, tools, test equipment, and mechanical assemblies. Build prep/simulation software like ANSYS Additive Suite, 3DXpert, or Dyndrite.

Experience developing AM parameters, designing DOEs, or using statistical analysis tools (SPC, JMP, Minitab, Python, MATLAB).

Experience troubleshooting AM machines, calibrating optics, repairing systems, or working with machine sensors and controls.

Knowledge of DFAM principles, heat-treat processes, and additive-appropriate material behaviors (e.g., nickel alloys, titanium).

Familiarity with CAD tools (NX, SolidWorks, or similar) and simulation/analysis workflows.

Experience with IQ/OQ/MQ qualification approaches.

Strong communication skills and ability to present findings to cross-functional teams.

Experience in a fast-paced R&D or startup hardware environment.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].