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Additive Manufacturing Jobs in Washington, DC (NOW HIRING)

Formative 3D

Post-Processing Manager

Falls Church, VA

$80K - $110K/yr

Collaborate with the Additive Manufacturing Engineering Manager to develop post-processing methods based on part geometry and manufacturing requirements. * Partner with the Production Manager to ...

Genex Systems

Metals Research Engineer

Mclean, VA · On-site

Experience with additive manufacturing of metal materials is highly preferred. Master's degree required with at least three years of hands-on experience planning, conducting, and reporting on ...

Genex Systems

Metals Research Engineer

Mclean, VA · On-site

Experience with additive manufacturing of metal materials is highly preferred. Master's degree required with at least three years of hands-on experience planning, conducting, and reporting on ...

Genex Systems

Metals Research Engineer

Mclean, VA · On-site

Experience with additive manufacturing of metal materials is highly preferred. Master's degree required with at least three years of hands-on experience planning, conducting, and reporting on ...

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All JobsAdditive Manufacturing JobsAdditive Manufacturing Jobs in Washington, DC

Additive Manufacturing information

See Washington, DC salary details

$15

$28

$39

How much do additive manufacturing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for additive manufacturing in Washington, DC is $28.25, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $32.69 per hour, depending on experience, location, and employer.

What is the difference between Additive Manufacturing vs CNC Machinist?

AspectAdditive ManufacturingCNC Machinist
CredentialsTypically requires technical training or certification in 3D printing technologiesRequires machining certifications or technical training in CNC operations
Work EnvironmentWorks in labs or manufacturing facilities with 3D printers and related equipmentWorks in machine shops or manufacturing plants operating CNC machines
Industry UsageUsed in prototyping, custom parts, and complex geometriesUsed for precision manufacturing of metal and plastic parts
Search & Comparison IntentOften compared for manufacturing processes involving digital fabricationCompared for traditional subtractive manufacturing skills

While both roles are involved in manufacturing, Additive Manufacturing focuses on building parts layer-by-layer using 3D printing technologies, whereas CNC Machinists operate subtractive machines to carve parts from raw materials. Understanding these differences helps in choosing the right career path or job search focus within the manufacturing industry.

Is additive manufacturing a good career?

Additive manufacturing is a growing field that involves designing and operating 3D printing equipment, often requiring skills in CAD software and knowledge of materials. Careers in this area can offer opportunities in industries such as aerospace, healthcare, and automotive, with roles ranging from technician to engineer. Job prospects depend on industry demand, technical skills, and certifications in additive manufacturing technologies.

What is additive manufacturing?

Additive manufacturing (AM) is the process of creating products by adding material using one or more techniques. This is the opposite of subtractive manufacturing, which produces products by removing material. Many products are produced using a combination of these two techniques. To manufacture a plastic shape, you may use additive manufacturing to layer plastic materials then use subtractive manufacturing to cut and shape the plastic. In recent years, AM has started to focus on advanced techniques like 3D printing, where complex products are created layer by layer, using one or more materials. The main job in AM is that of an additive manufacturing engineer, although rapid prototyping may utilize this process to create a small model of a potential product.

What is additive manufacturing?

Additive manufacturing, often referred to as 3D printing, is a process of creating objects by adding material layer by layer, based on a digital model. Unlike traditional manufacturing methods that remove material from a solid block, additive manufacturing builds products directly from raw materials such as plastics, metals, or composites. This technology enables complex designs, rapid prototyping, and customization that would be difficult or impossible with conventional manufacturing processes.

What are the key skills and qualifications needed to thrive in additive manufacturing, and why are they important?

To excel in Additive Manufacturing, a solid understanding of engineering principles, 3D modeling, and materials science is typically required, often supported by a degree in engineering or a related field. Familiarity with CAD software, 3D printers, and quality assurance systems, as well as certifications like SME Additive Manufacturing Certification, is highly beneficial. Strong problem-solving, attention to detail, and effective communication skills help professionals innovate and collaborate in dynamic production environments. These competencies are essential for ensuring precision, efficiency, and the successful implementation of advanced manufacturing technologies.

What are some typical challenges faced in an additive manufacturing role, and how can they be addressed?

Professionals in Additive Manufacturing often encounter challenges such as ensuring part quality, optimizing print parameters, and troubleshooting equipment malfunctions. Working closely with engineering teams and using advanced simulation software can help address issues related to design for additive processes. Regular calibration of machinery and staying updated on the latest material advancements are also key strategies for overcoming common hurdles. Collaboration and ongoing training play a significant role in maintaining production efficiency and quality standards.

How to get into additive manufacturing?

To pursue a career in additive manufacturing, gaining a background in engineering, materials science, or manufacturing technology is essential. Developing skills in 3D modeling, CAD software, and understanding different 3D printing processes, along with relevant certifications, can improve job prospects. Entry-level roles often require hands-on experience with additive manufacturing equipment and knowledge of quality control standards.
More about Additive Manufacturing jobs
What are the most commonly searched types of Additive Manufacturing jobs in Washington, DC? The most popular types of Additive Manufacturing jobs in Washington, DC are:
What are popular job titles related to Additive Manufacturing jobs in Washington, DC? For Additive Manufacturing jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Additive Manufacturing jobs in Washington, DC look for? The top searched job categories for Additive Manufacturing jobs in Washington, DC are:
Additive Manufacturing jobs near you
Infographic showing various Additive Manufacturing job openings in Washington, DC as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $58,770 per year, or $28.3 per hour.

NIST PREP Graduate Student in Computer Vision AI models for Additive Manufacturing Image Processing

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$37 - $38/hr

Part-time

Re-posted 2 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Computer Vision AI models for Additive Manufacturing image processing
The work will entail: The NIST Information Technology Lab (ITL) and Engineering Lab (EL) are collaborating on a project for real-time image processing for Additive Manufacturing. To handle real-time constraints, computations on Field Programmable Gate Array (FPGA) devices will need to be enabled, likely involving both traditional Computer Vision algorithms and Deep Learning models.
We plan on instrumenting a hard real-time system that can meet the time sensitive deadlines for detecting sparks from a high-speed camera that is monitoring the interaction between the melt pool and laser. There are three methodologies to consider.
  1. The camera contains a built-in FPGA that can process images as they are captured.
  2. The capture card has a slightly higher-end FPGA.
  3. The capture card can transfer image data into system memory, allowing the host system to process images using either the CPU, GPU, or a combination of both.

To this end, we are seeking a Computer Scientist who will focus on developing algorithms to process frames in real-time from a high frame rate camera. The processing algorithms may utilize the camera's built-in Field Programmable Gate Arrays (FPGA), the capture card's built-in FPGA, or traditional computer CPUs and GPUs.
Key responsibilities will include but are not limited to:
  • Develop image analysis algorithms that target the highspeed camera's FPGA.
  • Develop image analysis algorithms that target the capture card's FPGA.
  • Develop image analysis algorithms that target the traditional computer's CPU(s) and GPU(s).
  • Measure real-time throughput for developed image analysis workflows.
  • Create AI/Deep learning workflows for training AI models for analyzing images in a series.

Qualifications
  • A completed or in-process graduate degree in Computer Science, Engineering, Manufacturing, or a related field.
  • 1-2 years of relevant experience.
  • Familiarity with image analysis algorithms.
  • Familiarity with FPGA programming.
  • Familiarity with CPU and/or GPU image analysis.
  • Experience with AI/Deep learning workflows, such as LSTMs.
  • Ability to develop prototypes of tools needed to analyze data.
  • Strong oral and written communication skills.
  • US Citizen Preferred

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
|Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003758

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