May 8, 2026
Frontend Systems Developer (contract)
Senior • On-site
Emeryville, CA
About The Role
In this role you will help maintain and extend a web-based visual graph editor for manufacturing workflows. Users create and connect nodes representing materials/workpieces/tools and manufacturing steps (processes/inspections), validate the resulting workflow against catalogs and strict data contracts, and export a schema-compliant JSON representation for downstream tooling.
This role blends UI engineering with data integrity work. The editor must stay responsive on large graphs, preserve correctness (IDs, validation, export format), as well as support collaboration workflows through version control integrations.
This is a part-time, hybrid, freelance/contract role. Hours:
- 1st 60 days: 20-40 hours per week
- Ongoing: 10-20 hours (minimum) per week
What You'll Do
- Build and maintain a React + TypeScript UI for a graph editor (node/edge creation, selection, multi-select, drag/drop, property panels)
- Implement schema-driven validation and export (JSON Schema / AJV), ensuring stable, backwards-compatible outputs as schemas evolve
- Improve performance and reliability for large graphs (rendering, minimizing re-renders, preventing UI jitter, safe persistence)
- Support workflows around identity/ID rules, including ID generation, transformations on copy/paste/import, and "minting/locking" behaviors that freeze certain fields once finalized
- Maintain integrations used in real production workflows:
- GitLab API (branching, committing files, MR workflows)
- Methods API (catalog sync, offline fallback, validation that blocks pushes when API is down)
- Authentication (Okta)
- Ship small-to-medium features end-to-end: UI, state changes, validation, tests, and docs
- Triage bugs from real users (manufacturing/process engineers), reproduce quickly, and implement safe fixes
- Add/maintain unit tests (Jest + TS) around tricky logic (ID transformation, export validation, API sync behavior)
- Keep the build/lint/test pipeline healthy (Vite, TypeScript, ESLint, Jest) and handle dependency upgrades carefully
- Collaborate asynchronously with a cross-functional team (process, production, AI) through clear PRs, strong commit hygiene, and pragmatic technical decisions
- Tools/Stack You'll Work With: React 18, TypeScript, Vite, Tailwind CSS, ReactFlow, AJV (JSON Schema), Jest, ESLint, GitLab API, OpenAPI, Okta
What You'll Need
- Experience building complex, stateful UI systems (not CRUD/dashboard apps)
- Strong React + TypeScript with state management + performance optimization
- Experience with graph/diagram editors or similar interaction-heavy UIs
- Experience with large in-memory data + UI/data synchronization
- Experience with validation systems + deterministic outputs (schema, exports)
- Strong debugging in complex systems + ability to explain tradeoffs
- Experience leading complex, ambiguous problems across cross-functional teams with multiple stakeholders
Bonus Points For:
- Manufacturing background (MES, process planning, CAD/CAM adjacent tooling, "recipes/methods/catalog" concepts)
- JSON Schema / AJV experience and comfort with strict data contracts
- GitLab API experience, auth systems (Okta/OIDC), or "internal tool" deployment constraints
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[NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).Travel: Twice per yearJob ID: 1452 The Role As a Senior Software Engineer for Developer Tools, you will be a key contributor to the software that connects quantum developers to IonQ's hardware. You will focus on contributing to quantum compiler tools and features that our users and internal research teams depend on to run applications. You will build tooling to give users deep insights into how their circuits are optimized and create intuitive, user-friendly interfaces for hardware-specific compiler passes, such as quantum error mitigation and quantum error correction, and ensure our tools are robust and well-documented. You will work closely with our Compiler, QEC, and Applications teams to take new features through development, testing, documentation, packaging, and release, and use software engineering best practices to document, distribute, and use them in quantum software applications. The Developer Tools team builds the critical software layer for the quantum ecosystem. In this role, you will help shape an ecosystem of tooling that turns high-level quantum circuits into optimized instructions for our quantum computers. Your work will directly impact the performance, reliability, and capabilities of quantum applications running on IonQ systems by focusing on the compiler's application-facing features and its connection to the hardware. The compiler is where quantum algorithms meet quantum hardware. Your work sits at the heart of this critical transformation. The tools you build will define how developers interact with our systems, enabling them to extract maximum performance, trust the compilation process, and tailor optimization strategies for their specific use cases. By focusing on compiler tools for applications, you empower developers to tackle real-world problems and push the boundaries of what's possible on quantum computers. You'll make advanced techniques accessible, from sophisticated error mitigation to hardware-aware compilation. This role offers a unique opportunity to work with world-class researchers and translate their innovations into production software that accelerates the path to quantum advantage for everyone. Responsibilities: Design, build, and maintain compiler toolchains, optimization tools, and circuit transformation libraries for developer-facing applications. Work with the Compiler and Applications teams to package, test, and document new compilation features for both internal and external developers. Architect and implement interfaces for hardware-specific compilation features, giving developers deeper control and visibility. Integrate automated error mitigation, quantum error correction, and other advanced compilation strategies into our cloud platform and SDKs. Maintain comprehensive documentation, examples, and tutorials for compilation workflows. Support the testing and validation of compilation features across different IonQ backends and system configurations, and capabilities such as mid-circuit measurement and branching. Collaborate with the Applications Engineering team to understand and address customer needs related to compilation and circuit optimization. Requirements: Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience. 6+ years of professional software engineering experience in team environments. Deep proficiency in Python, our primary language. Experience with quantum computing, with an understanding of quantum gates and circuits. Familiar with the fundamentals of quantum compilation, error mitigation and quantum error correction. Experience with software maintenance, user community stewardship and software engineering best practices. Experience working with research or academic concepts and integrating them into scientific software workflows. Familiarity with Agentic AI coding tools and techniques such as skills, docstring generation, code review, and software engineering best practices. A track record of creating clear, comprehensive technical documentation. Experience with automated testing, CI/CD pipelines, and scientific software validation. Strong collaboration skills, with experience working across research and engineering teams. Preferred Qualifications: 8+ years of professional software experience. An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing. A background in compiler development for either classical or quantum systems. An interest in or experience with hardware-level and hardware-specific compilation, such as pulse-level control or dynamic circuits. System-level programming experience with C++ or Rust for performance-critical code. Deep experience with quantum compilers, circuit optimization, or quantum error correction. Experience with quantum computing SDKs (Qiskit, Pennylane, Cirq). Understanding of trapped-ion quantum computing systems and their specific noise characteristics. Proficiency with or strong interest in open-source compiler tools like ucc and jeff Publications or significant contributions to quantum computing research or open-source projects. The approximate base salary range for this position is $145,920 - $191,047 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Technology
TechTree
Full Stack Engineer
Mid
Hybrid
Warsaw, Poland
75,000 - 150,000 USD/yr
🏢 Summary: Full Stack Engineer role building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and enterprise systems. The position involves end-to-end development across frontend, backend, and databases, with strong ownership and direct customer impact. Candidates will work in a fast-paced seed-stage environment with high accountability and real-world deployment exposure. 🗂️ Requirements: Experience shipping production software end-to-end, Strong proficiency in TypeScript, Strong proficiency in JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL databases, Experience designing database schemas and data models, Understanding of testing, documentation, and code review best practices, Ability to work in fast-moving, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing, Documentation, CodeReview 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.
Technology
TechTree
Full Stack Engineer
Senior
Hybrid
Warsaw, Poland
75,000 - 150,000 USD/yr
🏢 Summary: Full Stack Engineer role focused on building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and ERP systems. The position involves end-to-end development across frontend, backend, and databases, delivering customer-driven features in high-stakes environments. Engineers take ownership of production systems, ensuring scalability, reliability, and code quality. 🗂️ Requirements: Proven experience shipping production software end-to-end, Strong proficiency in TypeScript and JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL and database design, Experience with PostgreSQL, Ability to integrate with legacy and external enterprise systems, Understanding of testing, code reviews, and documentation practices, Ability to work in fast-paced, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.
Technology

Xometry
Principal Computational Engineer, 3D CAD & Geometric Intelligence
Senior
On-site
North Bethesda, MD
200,004 - 230,004 USD/yr
🏢 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.
Technology

Xometry
Principal Computational Engineer, 3D CAD & Geometric Intelligence
Senior
On-site
Waltham, MA
200,004 - 230,004 USD/yr
🏢 Summary: Senior individual contributor role leading the multi-year technical direction of a 3D geometry and Design for Manufacturability platform, architecting and implementing computational geometry kernels and AI integrations directly inside major CAD ecosystems. The position focuses on building robust geometric reasoning, CAD interoperability, and real-time manufacturability feedback at scale using production C++ and Python. It combines deep computational geometry expertise, CAD kernel integration, and AI/ML methods to power large-scale digital manufacturing workflows. 🗂️ Requirements: M.S. or PhD in applied mathematics, computer science, mechanical engineering, computational physics, or related field, 12+ years experience in computational geometry, CAD/CAE, or simulation (or PhD with 8+ years industry experience), Expert-level C++ (C++14/17/20) in production systems, Strong Python for tooling, prototyping, and ML integration, Deep expertise in geometric modeling (NURBS, B-Rep, trimmed surfaces, topology, healing, robust predicates), Hands-on experience with commercial or open geometric kernels (e.g., Parasolid, ACIS, CGM, Open CASCADE), Strong knowledge of CAD interoperability standards (STEP, IGES, JT, Parasolid XT, native CAD formats, DXF), Solid foundation in linear algebra, calculus, numerical methods, and floating-point error analysis, Experience shipping algorithms in commercial or production systems, Familiarity with ML/AI methods applied to geometry (e.g., graph neural networks on B-Reps), US Citizenship or Green Card (ITAR compliance) 📃 Skills: C++, Python, CMake, GDB, SWIG, pybind11, AWS, NumPy, Numba, Parasolid, ACIS, CGM, OpenCASCADE, STEP, IGES, JT, DXF, NURBS, B-Rep, HOOPS, PRC, GraphNeuralNetworks, 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 serve as the senior individual contributor, owning the architecture that transforms customer-uploaded CAD models into manufacturable, priced, and routed parts 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 within a partner’s industrial software ecosystem, including Solid Edge, NX, Designcenter, and Teamcenter, operating directly on native 3D geometry through the Parasolid kernel to deliver real-time manufacturability feedback and pricing insights. It is a hands-on position requiring production C++ and Python development, definition of kernel and toolchain strategy, and leadership in computational geometry, AI integration, and large-scale CAD processing. 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 technical architect for embedded DFM AI + IQE integration. - Lead integration of geometric and AI capabilities into Solid Edge, NX, Designcenter, and Teamcenter via Parasolid. - Define integration architecture, geometry contracts, and real-time precision and latency budgets. 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 including floating-point error budgets and numerical stability. 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, point-cloud/voxel encoders, neural implicit representations). - Detect manufacturability risks across 12+ CNC sub-processes and broader process catalog. Research-to-Production Translation - Translate research in computational geometry and fabrication into production systems. - Publish, patent, or open-source methods where appropriate. Technical Leadership & Standards - Lead design reviews and define technical standards. - Mentor Staff and Senior engineers. Cross-Functional Leadership - Partner with Product, Manufacturing Engineering, Pricing, and Operations to translate business outcomes into geometric and algorithmic solutions. External Representation - Represent the platform at conferences, standards bodies, academic collaborations, and customer 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 (or PhD with 8+ years industry experience). Geometric Modeling Mastery - Deep expertise in analytical geometry, NURBS, trimmed surfaces, B-Rep topology, geometry healing, robust predicates, and spatial data structures. Kernel & CAD Interoperability - Experience with kernels such as Parasolid, ACIS, CGM, Granite, ShapeManager, Open CASCADE / pythonOCC. - Strong knowledge of 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, pybind11. - Strong Python for tooling and ML integration. - Experience with AWS for large-scale geometry processing and model training. - Ability to work in mixed C++/Python codebases using numpy and numba. Mathematical Rigor - Strong foundation in linear algebra, multivariable and differential calculus, numerical methods, differential equations, and floating-point error analysis. - Comfort with differential geometry and topology. Recognized Track Record - Record of publications, patents, open-source contributions, or shipped commercial capabilities. AI/ML Fluency - Familiarity with graph neural networks on B-Reps, point-cloud/voxel/SDF encoders, neural implicit representations, and NURBS-aware learning. Manufacturing Domain Fluency - Familiarity with ISO, ASME Y14.5, GD&T and manufacturing processes (subtractive, additive, formative, finishing). Leadership - Track record of mentoring senior engineers and setting technical direction. ITAR Compliance - US Citizen or Green Card holder. Qualifications - Experience with Parasolid kernel programming, NX Open, Solid Edge API, Teamcenter integration, or Designcenter workflows. - Published research in computational geometry or related fields. - Contributions to open-source geometric modeling libraries. - Experience in CAD, kernel, simulation, or manufacturing platforms. - Experience operating geometry algorithms at cloud or distributed scale. - Experience hiring and calibrating computational geometry talent. What Success Looks Like in 12 Months - Production deployment of DFM AI + IQE integration with measurable adoption and real-time latency targets met. - Documented geometric reasoning architecture with defined precision and robustness contracts. - Expanded DFM coverage across 12+ CNC sub-processes with measurable precision/recall improvements. - At least one published, patented, or open-sourced methodology. - Mentorship impact demonstrated through growth of Staff and Senior engineers. Compensation & Benefits - Base salary range: $200,000–$230,000 annually + commission. - Benefits include 401(k) match, medical, dental, vision insurance, life and disability insurance, paid time off, holidays, maternity and bonding leave, EAP, and wellbeing resources.