Principal Software Engineer, Manufacturing Intelligence

About the position

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. We are seeking an experienced 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

• Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
• Serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
• Conduct code reviews and mentor others within the organization regarding best practices in ML Engineering.
• Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
• Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
• Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

Requirements

• 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).