ZipRecruiter

Log In

1

Metal Additive Manufacturing Research Jobs (NOW HIRING)

Arcturus Technologies Ltd

$77K - $105K/yr

Support LPBF, DED, and related metal additive manufacturing experiments for carbon nanomaterial ... Experience working in a startup, research lab, advanced manufacturing team, or hardware development ...

L3HHCM20

$93K - $127K/yr

The ideal candidate brings hands-on experience in metal additive manufacturing, the ability to independently manage technical tasks in a fast-paced, regulated manufacturing environment, and working ...

Apple

Metal Additive Prototyping Specialist

Sunnyvale, CA · On-site

$51.19 - $89.84/hr

In this role, you will provide guidance on design for metal additive manufacturing (DfAM), work with and modify CAD prototypes, operate various metal 3D printers, and perform post-processing.

previous pagenext page

Showing results 21-40

All JobsManufacturing JobsMachining JobsMetal Fabricator JobsMetal Additive Manufacturing Research Jobs

Metal Additive Manufacturing Research information

See salary details

$11

$22

$37

How much do metal additive manufacturing research jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for metal additive manufacturing research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is metal additive manufacturing research?

Metal additive manufacturing research involves studying and developing new methods, materials, and technologies for producing metal parts using 3D printing techniques. Researchers in this field focus on improving the quality, efficiency, and capabilities of metal additive manufacturing processes such as selective laser melting or electron beam melting. They also work on understanding material properties, optimizing designs for additive manufacturing, and addressing challenges like residual stress and surface finish. This research is essential for advancing applications in aerospace, automotive, healthcare, and other industries.

What are the key skills and qualifications needed to thrive in metal additive manufacturing research?

To excel in Metal Additive Manufacturing Research, a strong background in materials science, mechanical engineering, or a related field is essential, often supported by advanced degrees such as an MS or PhD. Familiarity with additive manufacturing technologies (like SLM, EBM), CAD software, simulation tools, and process monitoring systems is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating on multidisciplinary research and presenting findings. These skills and qualifications are crucial for driving innovation, optimizing processes, and advancing the field of metal additive manufacturing.

What are some common challenges faced in metal additive manufacturing research, and how are they typically addressed?

Professionals in Metal Additive Manufacturing Research often encounter challenges such as optimizing process parameters for new alloys, ensuring material consistency, and overcoming defects like porosity or residual stress. Addressing these issues usually involves iterative experimentation, advanced simulation techniques, and close collaboration with material scientists and production engineers. Staying updated with the latest industry advancements and working in multidisciplinary teams is key to overcoming these obstacles and driving innovation in metal AM technologies.

What are popular job titles related to Metal Additive Manufacturing Research jobs?

For Metal Additive Manufacturing Research jobs, the most frequently searched job titles are:

Infographic showing various Metal Additive Manufacturing Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Computational Scientist, Metal Additive Manufacturing

Malibu, CA • On-site

HRL Laboratories
Scientific Research and Development Services • 501 - 1,000 employees
Learn more about HRL Laboratoriesexternal

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

HRL Laboratories, an IBM company, pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers – ready for real-world application. For more than 70 years, HRL’s rich portfolio of scientific discoveries and engineering innovations continues to build on each other — often in unexpected, profound and far-reaching ways. As a private company owned by IBM, HRL prioritizes purpose over profit, significantly advancing the state of the art.

HRL Laboratories advances critical structural and functional materials and semiconductor devices that enable precision navigation, quantum technologies and extreme-environment performance. With expertise from design through deployment, we deliver scalable, high-performance solutions that transform our customers’ missions. Our work leverages digital manufacturing and scalable microfabrication techniques to meet tomorrow’s toughest challenges. 
 
Position Summary:
 
In this role, you will have the opportunity to make an immediate impact on a high-profile, America Makes funded project shaping the future of metal additive manufacturing. The ideal candidate will have an interest in growing into a Principal Investigator (PI) that will conceive, propose and lead new research initiatives. 

Essential Duties:

•    Support advanced R&D programs [TS1.1]in metal additive manufacturing, working closely with interdisciplinary teams to drive scientific and technological breakthroughs
•    Plan and execute analytical and computational analysis and modeling with a focus on continuum methods and digital twin development
•    Communicate complex modeling results clearly through presentations, technical reports, and collaborative discussions with team members, management and project sponsors
•    Translate fundamental materials and process understanding into practical, scalable solutions for real-world additive manufacturing applications
•    Plan and manage key project components—including timelines, deliverables, and resources—to ensure successful execution and meaningful impact
•    Collaborate with experimental teams to validate models, compare simulation outputs with measurement data, and refine predictive capabilities.
•    Interact with the broader community by presenting at conferences and publishing in journals

Required Qualifications:

•    PhD or Postdoctoral experience in Materials Science, Mechanical Engineering, or a related field
•    Strong foundation in computational modeling and familiarity with current and emerging AI/ ML methods relevant to materials and process optimization
•    Experience with Finite Element Analysis FEA (e.g., ABAQUS, COMSOL, MOOSE)
•    Experience with mesoscale microstructure modeling techniques such as phase field, cellular automata, and kinetic Monte Carlo methods
•    Proficiency in programming languages like Python or C++ for data analysis and integration with simulation workflows
•    Experience using machine learning libraries such as Scikit-Learn, PyTorch, Keras, or TensorFlow to solve engineering and materials science problems
•    Experience with Scientific Machine Learning (SciML) for surrogate model development 
•    Experience in scientific communication through technical presentations and journal publications

Preferred Qualifications:
 
•    Experience planning, conducting, and analyzing experiments
•    Experience with Laser Powder Bed Fusion metal additive manufacturing

Physical Requirements:

•    Ability to perform extended computational modeling and analysis at a workstation

Special Requirements:

•    U.S. Citizenship with the ability to obtain and maintain a U.S. Government security clearance
 

Compensation and Benefits: 

  • Pay Range: $140,700 - $175,950 

  • Our salary ranges are determined by role, level, and location (California). The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process.  

  • Benefits: HRL offers a generous and very competitive total compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and challenging work environment.  

  • For more information about our company benefit offerings please visit: https://www.hrl.com/careers/benefits 

Non-Discrimination and Equal Employment Opportunities (U.S.) 

Don’t meet every single requirement? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 

We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.  

If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants \u007C U.S. Equal Employment Opportunity Commission 

For our privacy policy please visit: www.hrl.com/privacy 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.