Senior Software Engineer

Xometry
North Bethesda, MD, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$170,000.0 - $195,000.0
Working hours
Regular working hours

Tech stack

Computer-Aided Design Artificial Intelligence Amazon Web Services Application Layers Application Services Software as a Service Cloud Computing Software Quality Data Governance Distributed Systems Python (Programming Language) Network Architecture
+8 more
Azure Machine Learning Next.js Software Engineering Web Application Frameworks Enterprise Software Applications ReactJS Information Technology Machine Learning Operations

Job description

Xometry is looking for a Staff Software Engineer to join our Core Platform team. This role is a strategic technical leadership position focused on the architectural evolution of our flagship enterprise partnership.

While our current plug-ins function as external add-ons, you will be responsible for re-architecting Xometry’s core application services to live natively within our partner’s digital ecosystem. You will shape the technical direction of multiple products, establishing the engineering patterns that allow Xometry’s AI-trained on millions of parts-to operate directly on our partner’s native 3D geometry. Your goal is to move the architectural framework toward a “target state” where users experience zero-latency DFM feedback and one-click procurement without ever leaving their primary enterprise design environment.

This role requires a hybrid schedule (3 days a week) at our North Bethesda, MD or Waltham, MA office location. How You’ll Contribute

  • Software Development and Technical Craft: You will design high-performance solutions that extend beyond a single org, establishing the organizational standards for how Xometry-AI is embedded into external PLM environments. You will advance our architectural framework to ensure it is extensible, scalable, and adheres to strict enterprise SLIs/SLOs.
  • AI Fluency: You will lead the effort to integrate production ML pipelines into the application layer, ensuring the “science fiction speed” promised in our vision is realized through optimized model serving and real-time geometry analysis. In addition, you’ll champion AI-assisted development practices across the team, actively mentoring engineers on effective use of AI tools to accelerate delivery, improve code quality, and reduce toil.
  • Problem Solving and Decision Making: You will solve significant and unique challenges regarding data gravity and security. You’ll create formal networks between our partner’s and Xometry’s engineering groups to develop new ways of conducting operations-specifically regarding “ring-fenced” data governance where part files remain securely within the partner’s network infrastructure.
  • Scope and Impact: You are responsible for establishing the strategic direction and leading the execution of this core integration. You will be a technical and business role model, ensuring that the integration of DFM (Manufacturability) and IQE (Pricing) AI engines creates a distinct, defensible edge for the partnership.
  • Collaboration and Communication: You will facilitate technical discourse across the entire Xometry organization, leading to durable, well-documented decisions. As a primary point of contact for senior leadership, you will guide risk/reward conversations and champion cross-functional development across our marketplace and data science teams.
  • Operational Excellence: You will define the reliability and security standards for our enterprise-grade deployments, whether partner-hosted or Xometry-hosted, ensuring seamless multi-tenant management.

Requirements

  • Experience: 12+ years of professional software development experience, with a history of scaling complex platforms.
  • Deep Technical Expertise: Expert-level mastery of Python, AWS infrastructure, and modern frontend frameworks (React/NextJS) used for complex enterprise applications.
  • Systems Architect: Proven experience shaping the technical direction of multiple teams and establishing engineering patterns as organizational standards.
  • Strategic Roadmap Execution: A track record of securing endorsement for 6-12 month initiatives and driving them to successful production deployment.
  • Communication Excellence: The ability to influence senior leadership and external partners on technical strategy and long-term technology investments.
  • Education: Bachelor’s in Computer Science or related field, or equivalent experience.

You Would Be A Great Fit With

  • Platform Experience: Background in building “Software as a Service” (SaaS) platforms or complex B2B integration hubs.
  • Industrial Tech Background: Experience with manufacturing, logistics, or CAD/PLM software ecosystems.
  • Security & Governance: Deep understanding of enterprise data controls, dedicated tenants, and SOC2/ISO compliance within a cloud environment.
  • Distributed Systems: Experience architecting large-scale ML platforms or high-frequency marketplace engines.

Benefits & conditions

The estimated base salary range for new hires into this role is $170,000 - $195,000 annually + annual bonus, depending on factors such as job-related skills, relevant experience, and location. The total compensation package includes base, bonus, and equity.

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
  • Employee Assistance Program (EAP) and other wellbeing resources
  • A stipend for catered lunch on Tuesdays and Thursdays

Xometry is an equal opportunity employer and participates in E-Verify.

LI-Hybrid

About the company

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.

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