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Part Time Additive Manufacturing Engineer Jobs in Washington

Booz Allen Hamilton, Inc.

Material Chemist

Lorton, VA · On-site

$69K - $158K/yr

... manufacturers, and support material projects that address critical mission outcomes ... You'll wear multiple hats such as a formulator, engineer, applied scientist, applicator, and ...

Bechtel

Senior Licensing Engineer

Reston, VA

$106K - $154K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range:: $106,900 - $154,700 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Bechtel

Procurement Engineer Coordinator

Reston, VA

$123K - $178K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $178,500 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Bechtel

Senior Licensing Engineer

Reston, VA · On-site

$123K - $178K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $178,500 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Bechtel

Warranty Engineer

Reston, VA

$91K - $132K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Only applicable to Reston : Salary ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Bechtel

Senior Electrical Engineer

Reston, VA

$140K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $140,800 - $203,700 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Bechtel

Senior Structural Engineer

Reston, VA

$140K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Only applicable to Reston : Salary ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

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All JobsAdditive Manufacturing Engineer JobsPart Time Additive Manufacturing Engineer JobsPart Time Additive Manufacturing Engineer Jobs in Washington

Part Time Additive Manufacturing Engineer information

How does a part-time Additive Manufacturing Engineer typically collaborate with full-time team members to ensure project continuity?

As a part-time Additive Manufacturing Engineer, effective collaboration with full-time colleagues is crucial for maintaining project momentum and ensuring seamless handoffs. This often involves participating in regular update meetings, maintaining detailed documentation of design changes, and using project management tools to track progress. Clear communication and proactive scheduling help integrate part-time contributions with ongoing work, minimizing disruptions and ensuring that critical milestones are met. Many organizations also foster a collaborative environment through shared digital platforms, making it easy for part-time engineers to stay aligned with team objectives.

What are part time additive manufacturing engineers?

Part time additive manufacturing engineers are professionals who work reduced hours, typically less than a standard full-time schedule, focusing on the design, development, and optimization of 3D printing and other additive manufacturing processes. Their responsibilities may include creating prototypes, improving manufacturing workflows, troubleshooting machinery, and collaborating with teams to implement new technologies. Working part time allows them to balance other commitments while contributing specialized expertise to projects. They often work in industries such as aerospace, automotive, healthcare, and consumer goods, where additive manufacturing is increasingly in demand.

What is the difference between Part Time Additive Manufacturing Engineer vs Part Time Mechanical Engineer?

AspectPart Time Additive Manufacturing EngineerPart Time Mechanical Engineer
Required CredentialsBachelor's in Engineering, additive manufacturing certificationsBachelor's in Mechanical Engineering, relevant certifications
Work EnvironmentManufacturing labs, 3D printing facilitiesDesign offices, manufacturing plants
Industry Usage3D printing, prototyping, custom manufacturingProduct design, machinery, systems

The Part Time Additive Manufacturing Engineer focuses on 3D printing and additive processes, while the Part Time Mechanical Engineer covers broader mechanical design and systems. Both roles require engineering degrees and relevant certifications, but their work environments and industry applications differ. The additive manufacturing engineer specializes in rapid prototyping and custom parts, whereas the mechanical engineer works on traditional mechanical systems and product development.

What are the key skills and qualifications needed to thrive as a Part Time Additive Manufacturing Engineer, and why are they important?

To thrive as a Part Time Additive Manufacturing Engineer, you need a solid background in engineering principles, 3D modeling, and materials science, typically supported by a relevant engineering degree. Familiarity with CAD software, additive manufacturing systems (such as FDM, SLS, or SLA), and knowledge of quality assurance standards are essential for the role. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in collaborating with teams and troubleshooting production issues. These skills ensure efficient design, fabrication, and optimization of components, leading to successful project outcomes in a dynamic manufacturing environment.
What are the most commonly searched types of Additive Manufacturing Engineer jobs in Washington? The most popular types of Additive Manufacturing Engineer jobs in Washington are:
What cities in Washington are hiring for Part Time Additive Manufacturing Engineer jobs? Cities in Washington with the most Part Time Additive Manufacturing Engineer job openings:
Part Time Additive Manufacturing Engineer jobs near you
NIST PREP Graduate Student in Computer Vision AI models for Additive Manufacturing Image Processing

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 7 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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