Principal Computational Engineer, 3D CAD & Geometric Intelligence

🏢 Summary: Senior individual contributor role responsible for defining and implementing the multi-year technical direction of a large-scale computational geometry and DFM platform. The position focuses on architecting and building robust geometric kernel capabilities, integrating AI-driven manufacturability analysis directly into major CAD ecosystems, and translating advanced research into production systems. It combines hands-on C++/Python development with architectural ownership and cross-functional technical leadership. 🗂️ Requirements: M.S. or PhD in applied mathematics, computer science, mechanical engineering, computational physics, or related field, 12+ years of experience in computational geometry, CAD/CAE, or simulation (or PhD with 8+ years industry experience), Deep expertise in computational geometry and geometric modeling (B-Rep, NURBS, trimmed surfaces, topology), Hands-on experience with commercial or open geometric kernels (e.g., Parasolid, ACIS, CGM, Open CASCADE), Expert-level C++ (C++14/17/20) in production environments, Strong Python for tooling and ML integration, Experience with CAD interoperability formats (STEP, IGES, JT, Parasolid XT, CATIA/NX/Creo/SolidWorks, DXF), Strong foundation in linear algebra, calculus, numerical methods, and floating-point error analysis, Familiarity with ML methods applied to geometry (e.g., graph neural networks on B-Reps), US Citizenship or Green Card (ITAR compliance) 📃 Skills: C++, Python, Parasolid, ACIS, CGM, OpenCASCADE, CMake, GDB, SWIG, pybind11, NumPy, Numba, AWS, STEP, IGES, JT, DXF, HOOPS, NURBS, B-Rep, CAD, CAE, CAM, GNN, GPU 🏢 Description: Xometry is seeking a Principal Computational Engineer to set the multi-year technical direction for its 3D geometry and Design for Manufacturability (DFM) platform. You will be the senior individual contributor in this domain, owning the architecture that turns every customer-uploaded CAD model into a manufacturable, priced, and routed part across CNC, sheet metal, additive, injection molding, casting, and finishing processes. This role also serves as the technical architect for the embedded DFM AI + IQE integration with a strategic partner, integrating Xometry's computational geometry and AI directly into Solid Edge, NX, Designcenter, and Teamcenter to deliver real-time manufacturability feedback and pricing insights. Responsibilities Technical Vision & Roadmap: - Own and drive a multi-year technical roadmap for the geometric reasoning stack — B-Rep ingestion and healing, feature recognition, DFM analysis, sub-process routing, geometric pricing signals, and downstream CAM/CAE integration. Partnership Integration (DFM AI + IQE): - Serve as the technical architect for embedded DFM AI + IQE inside the partner ecosystem. - Lead integration of geometric and AI capabilities into Solid Edge, NX, Designcenter, and Teamcenter using the Parasolid kernel. - Define integration architecture, geometry contracts, precision and latency budgets for real-time in-CAD feedback. Geometric Kernel Architecture: - Architect and implement robust intersection, offset, Boolean, projection, and trimming operations on NURBS curves and surfaces. - Build resilience layers for malformed CAD inputs. - Establish precision, robustness, and performance contracts. DFM & Sub-Process Intelligence: - Combine computational geometry methods (B-Rep traversal, parametric surface analysis, medial axis, geodesic distance, curvature analysis) with ML approaches (graph neural networks on B-Reps, point-cloud and voxel encoders, neural implicit representations). - Detect manufacturability risk across 12+ CNC sub-processes. Research-to-Production Translation: - Translate research in computational geometry and fabrication into production systems. - Publish, patent, or open-source novel methods where beneficial. Technical Leadership & Cross-Functional Collaboration: - Lead design reviews and mentor engineers. - Partner with Product, Manufacturing Engineering, Pricing, and Operations to translate business outcomes into geometric and algorithmic solutions. - Represent the platform externally in conferences, standards bodies, and technical engagements. What You'll Bring Experience & Education: - M.S. or PhD in a relevant technical field. - 12+ years of progressive experience in computational geometry, CAD/CAE, or simulation (PhD with 8+ years industry experience equivalent). Geometric Modeling Mastery: - Expertise in analytical and free-form geometry (NURBS), trimmed surfaces, B-Rep topology, geometry healing, robust predicates, and spatial data structures. Kernel & CAD Interoperability: - Experience with geometric kernels such as Parasolid, ACIS, CGM, Granite, ShapeManager, or Open CASCADE. - Strong knowledge of CAD interchange formats: STEP (AP203/AP214/AP242), IGES, JT, Parasolid XT, CATIA/NX/Creo/SolidWorks formats, DXF, HOOPS Exchange/PRC. Technical Mastery: - Expert C++ (C++14/17/20) with CMake, debugging, profiling, SWIG or pybind11. - Strong Python for tooling and ML integration (NumPy, Numba). - Experience with AWS for large-scale processing and model training. Mathematical Rigor: - Strong foundation in linear algebra, calculus, numerical methods, differential equations, and floating-point error analysis. AI/ML & Manufacturing Fluency: - Familiarity with ML methods for geometry (graph neural networks on B-Reps, point-cloud/voxel encoders, neural implicit representations). - Knowledge of manufacturing processes and standards (ISO, ASME Y14.5, GD&T). ITAR Compliance: - US Citizen or Green Card holder. What Success Looks Like in 12 Months - Production deployment of the DFM AI + IQE integration inside the partner ecosystem with measurable adoption and defined latency contracts. - Documented geometric reasoning architecture with clear precision and robustness contracts. - Expanded DFM coverage across 12+ CNC sub-processes with measurable precision/recall. - Publication, patent, or open-source contribution strengthening technical brand. - Mentorship impact demonstrated through advancement of senior engineers. Compensation & Benefits - Base salary range: $200,000–$230,000 annually plus commission. - 401(k) match, medical, dental, and vision insurance. - Life and disability insurance. - Generous paid time off including vacation, sick leave, holidays, and parental leave. - Employee assistance and wellbeing resources.

🏢 Summary: Senior individual contributor role responsible for designing and owning enterprise-scale data architecture and real-time data pipelines that power a strategic DFM AI + IQE partner integration. The position focuses on building scalable batch and streaming systems, defining data models, and ensuring governance, observability, and CI/CD standards across cross-system integrations. The engineer leads the digital data plane connecting internal platforms with external PLM ecosystems in a high-impact, cloud-native environment. 🗂️ Requirements: Bachelor’s degree in STEM or equivalent experience, Minimum 5 years of experience in data engineering, Deep expertise in Snowflake or similar cloud data warehouse, Expert-level SQL, Strong Python proficiency, Hands-on experience with modern data pipeline tools (dbt, Airbyte, Airflow or similar), Experience designing enterprise data architecture across multiple systems, Knowledge of batch and stream processing systems, Experience with highly scalable data stores, Experience with CI/CD, automated testing, contract testing, schema evolution, Strong knowledge of AWS data ecosystem, Experience integrating with enterprise or partner systems (e.g., PLM, ERP, SaaS) 📃 Skills: Snowflake, SQL, Python, dbt, Airbyte, Airflow, Kafka, Spark, Kinesis, Apache, Iceberg, AWS, Teamcenter, BMIDE, APIs, Looker, Streamlit, Terraform, CloudFormation, CI/CD, CDC 🏢 Description: Xometry is looking for a Staff Data Engineer to join the 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 data systems are built and operated. A defining piece of this role is owning the data architecture behind the DFM AI + IQE integration with a strategic partner. You will serve as the data engineering lead for the digital thread connecting the platform to partner ecosystems including Solid Edge, NX, Designcenter, and Teamcenter. You will build the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between systems in real time. Responsibilities Lead with technical depth – Design and drive the implementation of enterprise-scale data architecture and engineering solutions spanning multiple systems and domains. Own the partner integration data plane – Architect and build the data layer of the embedded DFM AI + IQE integration with Teamcenter and Designcenter. Own bidirectional pipelines, the joint data model for parts, BOMs, quotes, and manufacturability signals, low-latency feedback paths, and required governance, lineage, and audit controls. Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms handling complex, high-volume and event-driven data flows. Own the full lifecycle – Take end-to-end accountability from data acquisition and transformation through delivery, observability, and performance. Set the standard – Define and enforce best practices for data modeling, CI/CD, testing, code quality, contract testing, and schema evolution. Solve ambiguous problems – Navigate cross-domain technical challenges and deliver solutions meeting business and technical objectives. Develop multi-quarter roadmaps – Translate strategic priorities into technical plans and timelines. Collaborate broadly – Partner with engineering, product, data science, business stakeholders, and external partner engineering teams. Mentor and elevate – Guide engineers through design reviews, code reviews, and mentorship. Evaluate and adopt – Recommend tools, platforms, and architectural patterns within the data engineering ecosystem. Qualifications Bachelor's degree in a STEM field (or equivalent experience) and at least 5 years of experience in data engineering with ownership of large-scale data systems. Deep expertise with cloud data warehouses, preferably Snowflake, including optimization and performance tuning. Expert-level SQL and strong Python proficiency. Experience building and optimizing data pipelines and architectures using tools such as dbt, Airbyte, or Airflow. Experience planning and implementing enterprise data architecture across multiple systems and organizational boundaries. Working knowledge of queueing, batch and stream processing (Kafka, Spark, Kinesis) and scalable data stores (Apache Iceberg). Experience developing database-heavy services or APIs with focus on testability and maintainability. Strong understanding of CI/CD, automated testing, contract testing, and schema evolution in data pipelines. Strong knowledge of AWS data ecosystem and cloud-native infrastructure. Enterprise integration experience with PLM, ERP, or large SaaS systems; Teamcenter experience is a strong plus. Familiarity with data visualization tools such as Looker or Streamlit. Experience with data governance, data quality frameworks, and observability tooling. Exposure to lakehouse or data mesh architectures. Experience with infrastructure as code frameworks such as Terraform or CloudFormation. Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows. Benefits Base salary range: $180,000–$200,000 annually plus commission, depending on experience and location. 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 and additional wellbeing resources.

🏢 Summary: Senior individual contributor role leading enterprise-scale data architecture and real-time partner integrations, owning the design of scalable batch and streaming pipelines across systems. Responsible for building and operating the data plane behind a strategic DFM AI + IQE integration, enabling low-latency, bidirectional data flows between platforms. Sets engineering standards for data modeling, CI/CD, governance, and observability while collaborating cross-functionally. 🗂️ Requirements: Bachelor's degree in STEM or equivalent experience, 5+ years in data engineering with ownership of large-scale data systems, Deep expertise in Snowflake and cloud data warehouses, Expert-level SQL, Strong Python proficiency, Experience building and optimizing modern data pipelines (dbt, Airbyte, Airflow or similar), Experience designing enterprise data architecture across multiple systems and partner boundaries, Knowledge of batch and stream processing systems, Experience with highly scalable data stores, Experience writing database-heavy services or APIs, Strong understanding of CI/CD, automated testing, contract testing, schema evolution, Strong knowledge of AWS and cloud-native infrastructure, Enterprise or partner system integration experience (PLM, ERP, or SaaS), Experience with infrastructure as code frameworks, Experience with event-driven architectures and CDC pipelines 📃 Skills: Snowflake, SQL, Python, dbt, Airbyte, Airflow, Kafka, Spark, Kinesis, Apache, Iceberg, AWS, Terraform, CloudFormation, Teamcenter, BMIDE, APIs, CI/CD, CDC, Looker, Streamlit 🏢 Description: Xometry is looking for a Staff Data Engineer to join the 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 data systems are built and operated. A defining piece of this role is owning the data architecture behind the DFM AI + IQE integration with a strategic partner. You will serve as the data engineering lead for the digital thread connecting the platform to partner ecosystems including Solid Edge, NX, Designcenter, and Teamcenter, building pipelines, data contracts, and observability to move quotes, parts, manufacturability signals, and pricing data in real time. Responsibilities - Lead the design and implementation of enterprise-scale data architecture and engineering solutions across multiple systems and domains - Architect and build the data layer for embedded DFM AI + IQE integrations, including bidirectional pipelines and joint data models for parts, BOMs, quotes, and manufacturability signals - Design low-latency signal paths delivering DFM and pricing feedback into designer environments - Establish governance, lineage, and audit capabilities for partner-integrated data systems - Architect and optimize reliable batch and streaming pipelines for complex, high-volume, event-driven data flows - Own the full lifecycle of data engineering work from ingestion and transformation to delivery and observability - Define and enforce best practices for data modeling, CI/CD, testing, code quality, contract testing, and schema evolution - Solve complex cross-domain technical challenges aligned with business objectives - Develop multi-quarter technical roadmaps and execution plans - Collaborate with engineering, product, data science, business stakeholders, and partner engineering teams - Mentor engineers through design and code reviews - Evaluate and recommend tools, platforms, and architectural patterns Qualifications - Bachelor's degree in a STEM field (or equivalent experience) - At least 5 years of experience in data engineering with ownership of complex, large-scale systems - Deep expertise in Snowflake, including optimization and performance tuning - Expert-level SQL and strong Python proficiency - Experience with modern data tooling such as dbt, Airbyte, and Airflow - Experience designing enterprise data architectures spanning multiple systems and partner boundaries - Knowledge of batch and stream processing technologies (e.g., Kafka, Spark, Kinesis) and scalable data stores (e.g., Apache Iceberg) - Experience building database-heavy services or APIs with focus on testability and maintainability - Strong understanding of CI/CD, automated testing, contract testing, and schema evolution in data pipelines - Strong knowledge of AWS and cloud-native infrastructure - Enterprise integration experience with PLM, ERP, or large SaaS systems; Teamcenter experience is a strong plus - Familiarity with data visualization tools such as Looker or Streamlit - Experience with data governance, data quality frameworks, and observability tooling - Exposure to lakehouse or data mesh architectures - Experience with infrastructure as code (Terraform, CloudFormation) - Experience with event-driven architectures, CDC pipelines, and low-latency operational data flows Benefits - Estimated base salary range: $180,000–$200,000 annually plus commission, depending on experience and location - 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 and wellbeing resources

🏢 Summary: Staff Software Engineer role focused on building and improving AI/ML infrastructure and data platforms that power large-scale manufacturing marketplace products. The position involves cloud infrastructure design, ML platform engineering, distributed systems, and collaboration with AI leadership to deliver scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, Experience with version control and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Strong programming skills in Python, Experience with multimodal data processing, Experience with AWS microservices, Experience with Docker and Kubernetes, US Citizen or Green Card holder 📃 Skills: Python, AWS, Terraform, REST, Docker, Kubernetes, SageMaker, IAM, Lambda, Cloudwatch, ECR, EKS, Kinesis, Git, CI/CD 🏢 Description: We are looking for a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. How You'll Contribute: - Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines - Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization - Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering - Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics What You'll Bring: - At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar - A Bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience - Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration - Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security - Strong technical expertise in: - Infrastructure as Code (IaC), especially Terraform - REST API design and implementation - Object oriented and functional programming in Python - Multimodal data processing (e.g., combining text, image, and 3D data) - AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis - Containerization technologies (Docker and Kubernetes) - Demonstrated ability to interact and communicate effectively at all levels of the organization - Experience in the manufacturing, supply chain, or similar industries is a plus - Must be a US Citizen or Green Card holder (ITAR) Benefits: - Base salary range: $140,000 - $230,000 annually plus annual bonus - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, holidays, maternity and bonding leave - Employee assistance and wellbeing resources Xometry is an equal opportunity employer. For US based roles, participation in E-Verify is required after job offer acceptance.

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to optimize manufacturing cost and partner selection. The position blends hands-on coding with technical leadership, driving best practices and innovation across AI/ML engineering teams. It requires strong experience in cloud-native and distributed architectures within a collaborative, fast-paced environment. 🗂️ Requirements: 8+ years of software engineering experience, 4+ years as technical leader of engineering teams, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, code versioning, and testing practices, Experience with cloud platforms (AWS, GCP, or Azure), Experience with containerization technologies, Experience designing and managing distributed systems, Hands-on coding and code review experience in ML engineering contexts, US Citizen or Green Card holder (ITAR) 📃 Skills: AWS, GCP, Azure, Docker, Kubernetes, OOP, Git, Testing, DistributedSystems, ML 🏢 Description: 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-HybridXometry 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.

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to improve manufacturing cost estimation and partner selection. The position blends hands-on coding with technical leadership, driving best practices, infrastructure excellence, and AI/ML innovation across cross-functional teams. 🗂️ Requirements: 8+ years software engineering experience, 4+ years technical leadership experience, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, Experience with code versioning and testing practices, Experience with cloud platforms, Experience with Docker and Kubernetes, Experience designing distributed systems, US Citizenship or Green Card (ITAR) 📃 Skills: Python, Java, AWS, GCP, Azure, Docker, Kubernetes, ML, DistributedSystems, Git, CI/CD, OOP 🏢 Description: 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-HybridXometry 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.

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to optimize manufacturing cost estimation and partner selection. The position blends hands-on coding with technical leadership, mentorship, and cross-functional collaboration in a fast-paced AI/ML environment. This is a senior-level role requiring strong experience in cloud infrastructure and scalable system architecture. 🗂️ Requirements: 8+ years of software engineering experience, Minimum 4 years as technical leader of engineering team, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, version control, and testing, Experience with cloud platforms (AWS, Google Cloud, or Azure), Experience with Docker and Kubernetes, Experience designing and managing distributed systems, Ability to perform code reviews and enforce ML engineering best practices, US Citizenship or Green Card (ITAR requirement) 📃 Skills: Python, AWS, GoogleCloud, Azure, Docker, Kubernetes, ML, DistributedSystems, OOP, Git, Testing 🏢 Description: 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-HybridXometry 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.

🏢 Summary: Principal Software Engineer role leading the design and development of distributed systems that combine ML predictions, part geometry, and customer data to optimize manufacturing cost and partner selection. The position requires hands-on technical leadership, ownership of architecture, and driving best practices in ML engineering and cloud infrastructure. The engineer will guide technical strategy while actively contributing to coding, reviews, and system design. 🗂️ Requirements: 8+ years of software engineering experience, 4+ years as technical leader of engineering team, Bachelor’s degree in Computer Science or related field, Strong expertise in object-oriented design, versioning, and testing, Experience with cloud platforms, Experience with containerization technologies, Experience designing and managing distributed systems, US Citizen or Green Card holder (ITAR) 📃 Skills: Python, AWS, GCP, Azure, Docker, Kubernetes, ML, DistributedSystems, OOP, Git, Testing 🏢 Description: 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-HybridXometry 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.

🏢 Summary: Staff Software Engineer role focused on building and improving core AI/ML infrastructure and data platforms supporting marketplace products such as quoting and computational geometry services. The position involves cloud infrastructure design, distributed systems, ML engineering, and collaboration with AI leadership to drive scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, version control, reproducibility, and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Proficiency in Python programming, Experience with multimodal data processing, Experience with AWS microservices including SageMaker, IAM, Lambda, CloudWatch, ECR, EKS, and Kinesis, Experience with Docker and Kubernetes, US Citizenship or Green Card required 📃 Skills: Python, Terraform, AWS, SageMaker, IAM, Lambda, CloudWatch, ECR, EKS, Kinesis, Docker, Kubernetes, REST, CI, Git, Microservices 🏢 Description: Xometry is seeking a Staff Software Engineer to join its core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the marketplace. This is a high-visibility, hands-on role focused on innovation, ownership, and delivery of core platform capabilities. How You'll Contribute: - Operational Excellence: Guarantee the delivery of superior infrastructure and software while aligning with strategic business timelines - Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization - Code Review: Conduct code reviews and mentor others regarding best practices in machine learning and software engineering - Collaborative Strategy: Partner with product managers, engineers, and leadership to support open communication and integrated team dynamics What You'll Bring: - At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar - Bachelor’s degree required; advanced degree in computer science, machine learning, AI, or related field preferred - Understanding of software engineering principles including parallel and distributed computing, version control, reproducibility, and continuous integration - Experience designing and deploying cloud infrastructure, preferably AWS, for data-intensive AI/ML applications with scalability, reliability, and security considerations - Experience with Infrastructure as Code, especially Terraform - Experience with REST API design and implementation - Experience with object-oriented and functional programming in Python - Experience with multimodal data processing including text, image, and 3D data - Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, CloudWatch, ECR, EKS, and Kinesis - Experience with containerization technologies including Docker and Kubernetes - Strong communication and collaboration skills across technical and leadership teams - Experience in manufacturing or supply chain industries is a plus - Must be a US Citizen or Green Card holder (ITAR) Compensation and Benefits: - Estimated base salary range: $160,000 – $180,000 annually plus annual bonus - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, holidays, maternity, and bonding leave - Employee assistance and wellbeing resources Xometry is an equal opportunity employer. For US-based roles, the company participates in E-Verify and will confirm employment authorization after hire.

🏢 Summary: Principal Software Engineer role focused on leading the design and development of distributed systems that combine ML predictions, geometry data, and customer information to optimize manufacturing cost estimation and partner selection. The position blends hands-on coding with technical leadership, mentorship, and cross-functional collaboration in a fast-paced AI/ML environment. It requires strong expertise in cloud infrastructure and scalable system architecture. 🗂️ Requirements: 8+ years of software engineering experience, Minimum 4 years as technical leader of engineering team, Bachelor’s degree in Computer Science or related field, Proficiency in object-oriented design, version control, and testing practices, Experience with cloud platforms (AWS, Google Cloud, or Azure), Experience with containerization technologies, Experience designing and managing distributed systems, US Citizenship or Green Card (ITAR requirement) 📃 Skills: AWS, GoogleCloud, Azure, Docker, Kubernetes, ML, DistributedSystems, OOP, Git, Testing, Cloud, AI 🏢 Description: 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) #LI-HybridXometry 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.