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Additive Manufacturing Remote Jobs in Washington

Quality Engineer

Bethesda, MD · Remote

$77.10K - $99.50K/yr

Aquinas Consulting is currently looking to fill a remote Quality Engineer - Automation job with a ... Manufacturing staffing solutions throughout the US. We take pride in 20 years of service to our ...

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Additive Manufacturing Remote information

What are the key skills and qualifications needed to thrive as an Additive Manufacturing Remote Specialist, and why are they important?

To thrive as an Additive Manufacturing Remote Specialist, you need expertise in 3D printing technologies, materials science, and a background in engineering or related fields. Familiarity with CAD software, slicer programs, remote monitoring systems, and certifications like Additive Manufacturing Technician (AMT) are typically important. Strong problem-solving, attention to detail, and effective remote communication skills help you stand out in this role. These competencies ensure high-quality production, efficient troubleshooting, and seamless collaboration in a remote work environment.

What are some common challenges faced by professionals working in remote additive manufacturing roles, and how can they be overcome?

Working in a remote additive manufacturing role often involves overcoming challenges such as coordinating with on-site teams, managing complex digital workflows, and maintaining effective communication across different time zones. To address these, professionals typically leverage advanced collaboration tools, cloud-based CAD platforms, and regular video meetings to ensure alignment on project specifications and production timelines. Building a strong rapport with team members and establishing clear communication channels are key to successfully navigating the remote work environment in this field.

What is additive manufacturing remote work?

Additive manufacturing remote work refers to the practice of performing tasks related to 3D printing and digital fabrication from a location outside of a traditional onsite manufacturing facility. Professionals in this field use digital tools, CAD software, and cloud-based platforms to design, simulate, and sometimes even remotely monitor additive manufacturing processes. While the physical printing often occurs at a dedicated site, many roles such as design, engineering, and process optimization can be effectively performed remotely. This setup allows for greater flexibility and can help companies access a wider talent pool.

What is the difference between Additive Manufacturing Remote vs Additive Manufacturing Technician?

AspectAdditive Manufacturing RemoteAdditive Manufacturing Technician
CredentialsTypically requires a degree in engineering, manufacturing, or related field; certifications like AMF or 3D printing certifications are commonUsually requires technical diploma or associate degree; certifications in 3D printing or CAD are beneficial
Work EnvironmentPrimarily remote, involving design, programming, and oversight of additive manufacturing processesOn-site or in manufacturing facilities, operating and maintaining 3D printers and equipment
Industry UsageUsed across industries for remote project management, design, and process optimizationHands-on manufacturing, equipment setup, and quality control in production settings

In summary, Additive Manufacturing Remote roles focus on remote design, programming, and project coordination, requiring strong technical skills and certifications, while Additive Manufacturing Technicians are hands-on workers operating and maintaining 3D printers on-site. Both roles are essential in the additive manufacturing industry but differ mainly in work environment and daily responsibilities.

What are the most commonly searched types of Additive Manufacturing jobs in Washington? The most popular types of Additive Manufacturing jobs in Washington are:
What are popular job titles related to Additive Manufacturing Remote jobs in Washington? For Additive Manufacturing Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Additive Manufacturing Remote jobs in Washington look for? The top searched job categories for Additive Manufacturing Remote jobs in Washington are:
What cities in Washington are hiring for Additive Manufacturing Remote jobs? Cities in Washington with the most Additive Manufacturing Remote job openings:
2026 PhD Graduate - Artificial Intelligence and Complex Systems Postdoc Researcher

2026 PhD Graduate - Artificial Intelligence and Complex Systems Postdoc Researcher

The Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site, Remote

$115.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Description

Are you eager to use artificial intelligence (AI) to unlock insights from complex, high-dimensional data towards national security impact?

Do you want to bring innovative AI to real-world challenges in domains such as materials science, biology, chemistry, and advanced manufacturing?

Are you pursuing studies in AI, machine learning, or a related field - and looking for a Postdoc role where you can push the boundaries of AI for Science in interdisciplinary and high-impact ways?

If so, we'd love to meet you!

We are seeking a creative Postdoc problem solver with strong technical capabilities and initiative to join our team in taking on challenges in complex systems. The Complex Systems Group, part of the Intelligent Systems Center (www.jhuapl.edu/isc), conducts research at the intersection of AI and complex systems, with an emphasis on advancing capabilities in machine learning-based surrogate models, scientific automation, AI-assisted reasoning, and AI-guided design. We develop methods to drive discovery and design across scientific and engineering domains towards national security impact. This may include AI research in materials, protein engineering, chemistry, earth systems, and other physical and biological systems.

As a Postdoc researcher in our group, your primary responsibility will be contributing to and leading AI for Science projects with national security implications. As a member of our research team, you will contribute to AI for Science projects by creating, adapting, and evaluating modern AI methods including machine learning models, frontier AI systems, agentic workflows, physics- and domain-informed learning, AI-driven surrogate models, and closed-loop discovery architectures for scientific and engineering problems. You will establish collaborations with science and engineering domain experts and seek opportunities to propose your ideas for funding. You will also establish working relationships with our Program Managers to identify opportunities to grow our work in key areas for our sponsors. You will publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors.


Qualifications

You meet our minimum qualifications for the job if you:

  • Have a PhD degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.

  • Have published previous research in peer-reviewed journals and/or conferences.

  • Have experience in one or more key technical skills, including modern AI/ML methods, deep learning, foundation models, agentic workflows, physics- or domain-informed ML, AI-driven surrogate modeling, diffusion modeling, neural operators, graph neural networks, large language models, or symbolic AI.

  • Are proficient in Python and developing AI/ML software.

  • Have experience with containerized, cloud, High Performance Computing (HPC), or distributed computing environments.

  • Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you:

  • Have background knowledge in a science or engineering discipline such as materials, chemistry, biology, or advanced manufacturing.

  • Are skilled in project management or leading technical teams.

  • Have experience writing technical proposals, particularly for government research sponsors.

  • Have experience applying AI/ML to real-world data such as remote sensing data, materials data, omics data, or additive manufacturing related data.

  • Have experience with relevant Python-based AI and scientific computing tools, such as PyTorch, JAX, or related libraries.


About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttp://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccommodations@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$85,300 Annually
Maximum Rate
$155,500 Annually