Execute experiments and prepare printers, schedule and troubleshoot prints, perform analysis and report results, and collaborate with teams for production builds and solutions.
Position Overview:
The Sustaining Process Engineer oversees qualification of newly built novel laser powder bed fusion metal 3D printers, monitors qualified printers for printed part quality and consistency, and helps improve operational efficiency of part printing and post processing. The Process Engineer will work both independently and on teams with other engineers and technicians under the supervision of engineering management to put together project plans, qualify tools for production, prepare reports for release to the customer, execute experimental designs, monitor tool health and continuously improve monitoring capabilities, and optimize workflows.
Responsibilities
- Work independently to execute experiments, prepare printers, schedule files to be printed, troubleshoot issues that occur during print and analyze qualification builds after print.
- Make detailed observations of experiments, note any anomalies on the tool during the run, and troubleshoot issues that arise.
- Perform all post-build analysis including metrology measurements such as visual inspection, surface roughness measurements, X-ray inspection, and metallographic analysis.
- Analyze in-build metrology data to gain insight into qualification builds and identify action items.
- Responsible for recording all data in a summary presentation for each qualification experiment and prepare report that summarizes results.
- Work with applications team to analyze first article and production builds, help troubleshoot novel problems, propose, test, and document solutions.
- Work with lab technicians to identify and resolve bottlenecks in all stages of part production.
- Work with hardware and software teams to validate and provide feedback on new features.
- Follow procedures to operate 3D printers and disposition qualification builds.
- Prepare/update SOP’s, checklists, and analysis guides.
- Participate in team and other assigned meetings.
- Other duties as needed or required.
Qualifications
Education:
Required: Bachelors degree in engineering from an accredited university.
Experience:
Desired: 2+ years of prior experience in advanced manufacturing industry, recent college graduates with extensive hands-on experience will be considered.
Other Requirements:
· High commitment to contribute to a positive, high paced, and results oriented work environment
· Strong desire to work for a dynamic company working on disruptive technologies and make it a success, high level of tolerance to ambiguity
· Creativity in problem solving: ability to quantify problems and develop analytical solution development, proficient in data-driven decision making
· Demonstrated ability to be disciplined in approach and thought process
· Team-oriented and self-directed
· Hands-on experience in collecting and analyzing samples using optical microscopy, 3-D profilometers and digital radiography
· Experience in JMP is highly desirable
· Python, JSL scripting is a plus
· Experience with CAD (e.g. SolidWorks) is a plus
· High level of accountability
Physical Requirement while working in laboratory:
· Must wear steel-toed boots
· Must wear protective eye-wear
· May require hearing protection
· High frequency of computer keyboarding
· High frequency of viewing a computer monitor
· Other personal protective equipment as applicable
About the Company:
Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc.
With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire® metal AM production printer, Flow™ print preparation software, Assure™ quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.
Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.
Our job titles may span more than one career level. The starting base salary for this full-time position is between $100,000 and $115,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable.
Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Velo3D Fremont, California, USA Office
Fremont, CA, United States
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
Fintech • Financial Services
Acquire and deepen relationships with affluent consumer and business customers, manage a book of business, deliver multi-product financial solutions (deposits, lending, investments), coordinate with Wealth/Home Lending/Business Banking partners, drive digital adoption, ensure accurate documentation and regulatory compliance, and meet licensing/SAFE registration requirements.
Fintech • Financial Services
Frontline branch role building customer relationships, supporting account openings, service requests, credit applications, and cash-handling/teller activities. Drive branch growth through discovery conversations, referrals, and digital tool adoption while maintaining compliance, risk controls, and collaborating with branch teammates to deliver seamless customer service.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
