Careers at Xometry

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 Site Reliability Engineer II to join our Site Reliability Engineering (SRE) Organization. In this role as an individual contributor, you will guide the reliability and performance of our infrastructure and software systems across several engineering teams and influence decisions across our technology organization. You will utilize your technical skills and expertise to help us build reliable and flexible infrastructure solutions that empower our technology organization to quickly and safely deploy new features for our customers. Responsibilities Take ownership of assigned problem statements and drive them to completion with guidance from senior engineers. Write clean, efficient, and well-documented code while improving existing systems and features. Accurately estimate timelines for features and tasks, learning to balance effort, risk, and impact. Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes. Seek and apply feedback from peers and managers to improve code quality, technical skills, and delivery consistency. Support team members and contribute to a positive, learning-oriented team culture. Take ownership of personal development goals, showing steady progress in technical and problem-solving skills. Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work. Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems). Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.). Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc). Qualifications Required: 3+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment. Demonstrated technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell. Experience with AWS, including deploying, monitoring, and scaling production workloads. General experience with Terraform, Kubernetes, CI/CD pipelines, and Docker. Comfortable working in an operational environment, including participation in an on-call schedule. Excellent communication and collaboration skills, comfortable engaging with both technical and non-technical stakeholders. The estimated base salary range for new hires into this role is $135,000 - $155,000 annually + commission 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.

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 Site Reliability Engineer II to join our Site Reliability Engineering (SRE) Organization. In this role as an individual contributor, you will guide the reliability and performance of our infrastructure and software systems across several engineering teams and influence decisions across our technology organization. You will utilize your technical skills and expertise to help us build reliable and flexible infrastructure solutions that empower our technology organization to quickly and safely deploy new features for our customers. Responsibilities Take ownership of assigned problem statements and drive them to completion with guidance from senior engineers. Write clean, efficient, and well-documented code while improving existing systems and features. Accurately estimate timelines for features and tasks, learning to balance effort, risk, and impact. Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes. Seek and apply feedback from peers and managers to improve code quality, technical skills, and delivery consistency. Support team members and contribute to a positive, learning-oriented team culture. Take ownership of personal development goals, showing steady progress in technical and problem-solving skills. Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work. Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems). Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.). Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc). Qualifications Required: 3+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment. Demonstrated technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell. Experience with AWS, including deploying, monitoring, and scaling production workloads. General experience with Terraform, Kubernetes, CI/CD pipelines, and Docker. Comfortable working in an operational environment, including participation in an on-call schedule. Excellent communication and collaboration skills, comfortable engaging with both technical and non-technical stakeholders. 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.

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’re looking for a Staff Cyber Resilience Engineer to lead our defense against the attacks that matter most: ransomware, destructive wipes, and data loss at scale. This is a hands-on technical leadership role. You will own the design and engineering of our Isolated Recovery Environment, set the standard for Infrastructure as Code across the organization, and ensure that if our AWS environment is ever compromised, we can restore operations with certainty and speed. You will work with a high-caliber engineering team, have direct influence on our security architecture, and lead recovery exercises that test the organization end-to-end. How You’ll Contribute: Own Our Recovery Architecture Design and build our Isolated Recovery Environment — a hardened AWS account with immutable vaults that break the attacker’s kill chain before it reaches our data Threat model our environment with a deep understanding of cloud-native attack patterns: IAM privilege escalation, backup deletion, ransomware persistence, and lateral movement across accounts Validate and continuously improve backup configurations to ensure recoverability, not just existence Standardize and Automate Infrastructure Lead our transition to 100% Infrastructure as Code. Every asset (VPCs, IAM roles, security groups) must be defined in Terraform so we can redeploy the entire stack into a clean account via automated pipeline Build automated recovery workflows that can tear down a compromised environment and bootstrap a fresh, hardened one from verified code and clean data Write and maintain executable recovery playbooks that detail the exact API calls and CLI commands needed to restore the application — tested, versioned, and runnable, not static documents Validate, Test, and Lead Exercises Develop automated scripts (Python or Go) to smoke test recovered data and validate integrity post-restoration Lead regular hands-on recovery drills that simulate total loss of a critical environment and full recovery into a secondary clean account. Own the after-action process and drive improvements Drive Engineering Standards Act as the resilience authority for the engineering organization — shaping high-availability architecture decisions, influencing design reviews, and raising the floor on how we think about recoverability Partner with the Site Reliability Engineering team on multi-region deployments and high-availability design, ensuring cyber resilience is embedded in architecture from the start Champion IaC and immutable infrastructure practices across teams, not just within your own workstream What You'll Bring to Xometry: 8+ years of experience in complex cloud environments (any of AWS/GCP/Azure), including at least 3 years in AWS. EKS/Kubernetes experience is a strong plus Strong Terraform skills. You should be able to modularize complex environments so they are environment-agnostic Hands-on familiarity with the Secure Vault pattern: protecting data in a separate, highly restricted AWS account with tight network controls Advanced shell scripting and proficiency in either Python or Go to automate restoration tasks that native AWS tooling doesn’t cover Experience with CI/CD tooling (Scalr, GitHub Actions, or equivalent) to enable broad adoption of recovery pipelines across the organization Proven ability to engineer and automate end-to-end restoration workflows Preferred: Hands-on experience leading technical recovery efforts from an actual cyber attack or destructive incident Experience with chaos engineering tooling to stress-test recovery assumptions Familiarity with NIST SP 800-34 (Contingency Planning) or similar frameworks AWS Security Specialty certification or equivalent demonstrated expertise The estimated base salary range for new hires into this role is $205,000- $233,000 annually + 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.

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 looking for a Staff Cloud Security Engineer to own our cloud security posture and runtime detection capabilities. This is a high-impact, individual contributor role focused on ensuring our live cloud environments and containerized workloads are hardened, continuously monitored, and generating the right signals for our security operations function. This role is about detection architecture, posture management, and runtime visibility. You will be the primary owner of our CrowdStrike platform, working closely with our MDR providers to ensure alert fidelity, tuning, and appropriate escalation. You will also evaluate migration to a new SIEM. This isn’t a role where you watch dashboards and write tickets. You’ll be the person who defines how we detect threats, decides how we respond to them, and has the autonomy to fix what you find. If you’re tired of maintaining legacy tooling, navigating slow change management processes, or writing findings that disappear into a backlog, this is the opposite of that. We’re a SaaS-first company running a modern, cloud-native stack. We ship fixes, not tickets. What You'll Contribute Own CrowdStrike Falcon configuration, ensuring policies are appropriately scoped, tuned, and generating actionable alerts. Partner with MDR to define alert routing, triage thresholds, and escalation logic, ensuring the right signals reach the right team. Monitor cloud environments (primarily AWS) for security posture drift: misconfigured IAM roles, overly permissive security groups, exposed storage, and non-compliant resource configurations. Secure Kubernetes clusters and containerized workloads: manage Network Policies, RBAC, Admission Controllers, and runtime detection for anomalous container behavior. Develop and enforce cloud security policies and standards for AWS infrastructure, ensuring secure and scalable deployments align with organizational risk posture. Evaluate and lead the implementation of additional detection tooling, including cloud SIEM platforms, designing detection rules and alerting pipelines. Manage infrastructure as code (IaC) security using Terraform or OpenTofu — ensuring IaC definitions meet security standards before deployment. Automate security posture checks and detection workflows using Python and shell scripting. Stay current with the evolving cloud threat landscape and translate emerging threats into detection coverage or posture improvements. What You Bring Minimum 8 years of experience in cloud security, security engineering, or a related infrastructure security discipline. Hands-on experience with a cloud security posture management (CSPM) platform — CrowdStrike, Wiz, Prisma Cloud, Orca, or equivalent. Prior CrowdStrike experience is a plus but not required. Deep familiarity with AWS security architecture: IAM/SCP policy design, VPC networking, security groups, CloudTrail, and cloud-native security controls. GCP or Azure experience considered in lieu of AWS for strong candidates willing to expand into AWS. Proficiency with infrastructure as code (IaC) tools such as Terraform, OpenTofu, or CloudFormation, with an understanding of how to enforce security standards within IaC workflows. Strong Python and shell scripting skills for security automation, detection rule development, and tooling integration. Must be a US Citizen or legal permanent resident (Xometry handles ITAR-controlled data). Preferred AWS GovCloud experience. Hands-on Kubernetes security experience: securing and managing production clusters, including Network Policies, RBAC, and Admission Controllers. Experience with cloud-native SIEM solutions, including writing detection rules in Python or SQL. Experience securing microservices architectures, including service mesh security (Istio or Linkerd). Bachelor’s degree in Computer Science, Information Security, or a related field 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.

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 looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how we build and operate our data systems. You will partner closely with engineering, product, analytics, and machine learning teams to ensure our data infrastructure enables the business to move fast and make high-quality decisions. Everything you build will matter. A defining piece of this role is owning the data architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will be the data engineering lead for the digital thread that connects Xometry's platform to the partner ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The data plane you design is what makes the "science fiction speed" digital thread from ideation to delivery actually work. How You’ll Contribute: Lead with technical depth – Design and drive the implementation of enterprise-scale data architecture and engineering solutions that span multiple systems and domains Own the partner integration data plane – Architect and build the data layer of Xometry's embedded DFM AI + IQE integration with partner Teamcenter and Designcenter. Own the bidirectional pipelines, the joint data model for parts / BOMs / quotes / manufacturability signals, the low-latency signal path that delivers DFM and pricing feedback back into the designer's environment, and the governance, lineage, and audit posture required for a public-marketplace partner integration Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle Xometry's complex, high-volume data, including the real-time and event-driven flows that the partner integration depends on Own the full lifecycle – Take end-to-end accountability for data engineering work from acquisition and transformation through to delivery, observability, and ongoing performance Set the standard – Define and enforce best practices for data modeling, CI/CD, testing, and code quality across the data engineering function, including the contract-testing and schema-evolution discipline required when data crosses a partner boundary Solve ambiguous problems – Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives Develop multi-quarter roadmaps – Translate strategic priorities into concrete technical plans, working independently to determine methods and timelines Collaborate broadly – Partner with engineers, product managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions Mentor and elevate – Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team Evaluate and adopt – Stay current with the data engineering ecosystem and make informed recommendations on tools, platforms, and architectural patterns What You'll Bring to Xometry: Bachelor's degree in a STEM field (or equivalent experience) plus at least 5 years of experience in a data engineering related role, with demonstrated ownership of complex, large-scale data systems Deep expertise with cloud data warehouses – Snowflake strongly preferred – including optimization, best practices, and performance tuning Expert-level SQL and strong Python proficiency; comfort picking up additional languages as needed Hands-on experience building and optimizing data pipelines, architectures, and data sets using modern tooling (dbt, Airbyte, Airflow, or similar) Demonstrated experience planning and implementing enterprise data architecture across multiple systems and domains, including integrations that cross organizational or partner boundaries Working knowledge of queueing, batch and stream processing (e.g., Kafka, Spark, Kinesis), and highly scalable data stores (e.g., Apache Iceberg) Experience writing database-heavy services or APIs and designing for testability and maintainability Deep understanding of CI/CD principles and demonstrated experience with automated testing, contract testing, and schema-evolution discipline in data pipelines Strong grasp of the AWS data ecosystem and cloud-native infrastructure Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively at all levels of the organization — including with external partner engineering teams Enterprise / partner integration experience – Prior work integrating with PLM, ERP, or large enterprise SaaS systems; partner Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) or comparable PLM exposure is a strong plus Familiarity with data visualization tools (e.g., Looker, Streamlit) Experience with data governance, data quality frameworks, and observability tooling — especially in contexts where data flows across partner or tenant boundaries Exposure to modern lakehouse or data mesh architectural patterns Experience with infrastructure as code (IaC) frameworks (e.g., Terraform, CloudFormation) Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows that feed back into a customer-facing UI Experience in manufacturing, supply chain, or marketplace environments is a plus — but curiosity and drive matter more 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.

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 looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how we build and operate our data systems. You will partner closely with engineering, product, analytics, and machine learning teams to ensure our data infrastructure enables the business to move fast and make high-quality decisions. Everything you build will matter. A defining piece of this role is owning the data architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will be the data engineering lead for the digital thread that connects Xometry's platform to the partner ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The data plane you design is what makes the "science fiction speed" digital thread from ideation to delivery actually work. How You’ll Contribute: Lead with technical depth – Design and drive the implementation of enterprise-scale data architecture and engineering solutions that span multiple systems and domains Own the partner integration data plane – Architect and build the data layer of Xometry's embedded DFM AI + IQE integration with partner Teamcenter and Designcenter. Own the bidirectional pipelines, the joint data model for parts / BOMs / quotes / manufacturability signals, the low-latency signal path that delivers DFM and pricing feedback back into the designer's environment, and the governance, lineage, and audit posture required for a public-marketplace partner integration Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle Xometry's complex, high-volume data, including the real-time and event-driven flows that the partner integration depends on Own the full lifecycle – Take end-to-end accountability for data engineering work from acquisition and transformation through to delivery, observability, and ongoing performance Set the standard – Define and enforce best practices for data modeling, CI/CD, testing, and code quality across the data engineering function, including the contract-testing and schema-evolution discipline required when data crosses a partner boundary Solve ambiguous problems – Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives Develop multi-quarter roadmaps – Translate strategic priorities into concrete technical plans, working independently to determine methods and timelines Collaborate broadly – Partner with engineers, product managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions Mentor and elevate – Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team Evaluate and adopt – Stay current with the data engineering ecosystem and make informed recommendations on tools, platforms, and architectural patterns What You'll Bring to Xometry: Bachelor's degree in a STEM field (or equivalent experience) plus at least 5 years of experience in a data engineering related role, with demonstrated ownership of complex, large-scale data systems Deep expertise with cloud data warehouses – Snowflake strongly preferred – including optimization, best practices, and performance tuning Expert-level SQL and strong Python proficiency; comfort picking up additional languages as needed Hands-on experience building and optimizing data pipelines, architectures, and data sets using modern tooling (dbt, Airbyte, Airflow, or similar) Demonstrated experience planning and implementing enterprise data architecture across multiple systems and domains, including integrations that cross organizational or partner boundaries Working knowledge of queueing, batch and stream processing (e.g., Kafka, Spark, Kinesis), and highly scalable data stores (e.g., Apache Iceberg) Experience writing database-heavy services or APIs and designing for testability and maintainability Deep understanding of CI/CD principles and demonstrated experience with automated testing, contract testing, and schema-evolution discipline in data pipelines Strong grasp of the AWS data ecosystem and cloud-native infrastructure Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively at all levels of the organization — including with external partner engineering teams Enterprise / partner integration experience – Prior work integrating with PLM, ERP, or large enterprise SaaS systems; partner Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) or comparable PLM exposure is a strong plus Familiarity with data visualization tools (e.g., Looker, Streamlit) Experience with data governance, data quality frameworks, and observability tooling — especially in contexts where data flows across partner or tenant boundaries Exposure to modern lakehouse or data mesh architectural patterns Experience with infrastructure as code (IaC) frameworks (e.g., Terraform, CloudFormation) Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows that feed back into a customer-facing UI Experience in manufacturing, supply chain, or marketplace environments is a plus — but curiosity and drive matter more The estimated base salary range for new hires into this role is $180,000-$200,000.00 annually + 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 #Promoted 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.

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 Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk. How You’ll Contribute: Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production What You'll Bring to Xometry: Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs) Hands-on experience with multimodal data (text, images, 3D) Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy) Solid grounding in probability, statistics, and optimization for generative modeling Experience deploying ML and AI models using cloud microservice architecture (AWS preferred) Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred) A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more Must be a U.S. Citizen or Green Card holder (ITAR compliance) The estimated base salary range for new hires into this role is $140,000-$230,000 annually + 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.

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 looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at scale. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production. Everything you build will matter. A defining piece of this role is owning the AI/ML architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration. You will be the data engineering lead for the digital thread that connects Xometry's platform to our partner’s ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The system you design is what takes the innovative digital thread operating at "science fiction speed" from ideation to reality. How You’ll Contribute: Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be responsible for designing the real-time ML serving architecture and the low-latency signal path that delivers DFM and pricing feedback directly into the designer's environment. This includes defining the data contracts for model inputs/outputs and implementing the MLOps, governance, and observability required for a mission-critical, public-marketplace partner integration. Build for scale – Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure Solve ambiguous problems – Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives Set the Standard – Proactively surface opportunity areas, take ownership of new processes and solutions, and develop multi-quarter roadmaps to accomplish key technical objectives Champion quality and security – Apply best practices in automated testing, parallel and distributed computing, and secure software development across ML systems Collaborate broadly – Partner with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust technical solutions Mentor and elevate – Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team Stay current – Keep pace with advances in ML/AI and bring relevant new approaches, tools, and frameworks into practice What You'll Bring to Xometry: Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and reusability Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar Solid grounding in software engineering fundamentals, data structures, and algorithms Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines Proficiency with CI/CD pipelines (e.g., Github actions),test driven development, and infrastructure as code (e.g., Terraform) Experience profiling and optimizing existing ML model deployments for latency and throughput Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and business audiences Experience with state-of-the-art modeling techniques including transformers, self-supervised pre-training, large language models (LLMs), or generative AI Knowledge of containers, container orchestration (Kubernetes), and cloud-native distributed systems Background in manufacturing, supply chain, or marketplace environments is a plus — but curiosity and drive matter more The estimated base salary range for new hires into this role is $200,000-$220,000.00 annually + 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.

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 looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at scale. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production. Everything you build will matter. A defining piece of this role is owning the AI/ML architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration. You will be the data engineering lead for the digital thread that connects Xometry's platform to our partner’s ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The system you design is what takes the innovative digital thread operating at "science fiction speed" from ideation to reality. How You’ll Contribute: Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be responsible for designing the real-time ML serving architecture and the low-latency signal path that delivers DFM and pricing feedback directly into the designer's environment. This includes defining the data contracts for model inputs/outputs and implementing the MLOps, governance, and observability required for a mission-critical, public-marketplace partner integration. Build for scale – Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure Solve ambiguous problems – Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives Set the Standard – Proactively surface opportunity areas, take ownership of new processes and solutions, and develop multi-quarter roadmaps to accomplish key technical objectives Champion quality and security – Apply best practices in automated testing, parallel and distributed computing, and secure software development across ML systems Collaborate broadly – Partner with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust technical solutions Mentor and elevate – Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team Stay current – Keep pace with advances in ML/AI and bring relevant new approaches, tools, and frameworks into practice What You'll Bring to Xometry: Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and reusability Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar Solid grounding in software engineering fundamentals, data structures, and algorithms Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines Proficiency with CI/CD pipelines (e.g., Github actions),test driven development, and infrastructure as code (e.g., Terraform) Experience profiling and optimizing existing ML model deployments for latency and throughput Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and business audiences Experience with state-of-the-art modeling techniques including transformers, self-supervised pre-training, large language models (LLMs), or generative AI Knowledge of containers, container orchestration (Kubernetes), and cloud-native distributed systems Background in manufacturing, supply chain, or marketplace environments is a plus — but curiosity and drive matter more 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.

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 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. What You'll Bring to Xometry 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. The estimated base salary range for new hires into this role is $160,000 – $180,000 annually + 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.