Principal Software Engineer, Manufacturing Intelligence

xometry· Machine Learning
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📍 Los Angeles, CA

About this role

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers’ parts. This team’s solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully.  This role does not require previous knowledge of manufacturing or ML, though it is helpful.

The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team.  This position requires both technical leadership and hands-on contribution.  Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

Responsibilities:

  • Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
  • Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
  • Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
  • Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
  • Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
  • Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Qualifications:

  • At least 8 years of experience in software engineering or similar technical roles.
  • A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.
  • Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
  • Experience designing, building, and managing distributed computing systems
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
  • Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
  • Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
  • Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $148,000- $193,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Frequently Asked Questions

Is the salary disclosed for the Principal Software Engineer, Manufacturing Intelligence position at xometry?
The salary for this Principal Software Engineer, Manufacturing Intelligence role at xometry is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Principal Software Engineer, Manufacturing Intelligence position at xometry located?
This Principal Software Engineer, Manufacturing Intelligence role at xometry is based in Los Angeles, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Principal Software Engineer, Manufacturing Intelligence at xometry belong to?
This Principal Software Engineer, Manufacturing Intelligence position is part of the Machine Learning department at xometry. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Principal Software Engineer, Manufacturing Intelligence position at xometry?
Click the "Apply Now" button on this page. You will be redirected to xometry's official application portal hosted on greenhouse where you can submit your application directly.
When was the Principal Software Engineer, Manufacturing Intelligence job at xometry posted?
This Principal Software Engineer, Manufacturing Intelligence position at xometry was posted on Jan 27, 2025. Apply as soon as possible — early applications are often reviewed first.
Principal Software Engineer, Manufacturing Intelligence
xometry
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You'll be redirected to xometry's official application page on Greenhouse.