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June 26, 2026
Senior Mechanical Engineer - Stress Analysis
Senior • On-site
144,996 - 189,996 USD/yr
South San Francisco, CA
About You and The Role
You enjoy solving complex structural problems using first principles analysis coupled with system level finite element models (FEM). You will be responsible for the structural design and analysis of aircraft primary structure from conceptual architecture phase through qualification testing. In this role you will own the durability and damage tolerance analysis of flight and ground structures, setting and upholding analysis requirements, processes, and standards.
You will work closely with structures and subsystems engineers to design and analyze fracture and fatigue tolerant structures operating in extreme environments for years without inspection or maintenance, and partner with Reliability and Test Engineering to investigate and root cause failures discovered in testing and in the field.
What You'll Do
- Evaluate and optimize flight and ground systems for structural loads, vibration modes, and deflections
- Perform analysis and sizing of airframe primary and secondary structures including static, dynamic, stability, and damage tolerance analysis for metallic and non-metallic structures
- Conduct classical stress analysis (Roark/Bruhn) for initial sizing
- Perform dynamic analysis including structural modes, random vibration, and forced harmonic vibration
- Drive design trades using lightweight FEM models (beams/shells) updated rapidly to match evolving configurations
Durability and Damage Tolerance (DADT) Analysis
- Evaluate and optimize metallic, composite, and plastic structures for fatigue and fracture resistance
- Design structural solutions for fracture critical components
- Define DADT requirements and methodologies, including fatigue spectra development
- Quantify impact damage limits and derive material property and allowable flaw size requirements
- Assess and address nonconformances impacting system DADT during manufacturing, testing, and field operations
- Build and document standardized in-house DADT analysis tools and processes
Experimental Correlation of Flight and Test Data
- Define validation needs for simulation models across static, dynamic, and flight tests
- Produce pre-test predictions, instrumentation plans, and post-test analysis to tune models within 5% of test results
- Rapidly resolve qualification test issues and provide corrective action
- Collaborate with design and test engineers to define and support vehicle-level tests
What You'll Bring
- Experience with durability and damage tolerance analysis of metallic, composite, and plastic structures
- Experience with industry-standard tools: Siemens NX, FEMAP/NX Nastran, AFGROW/NASGRO, Siemens Simcenter, MATLAB
- Vehicle/system-level architecture analysis experience
- Experience solving complex engineering problems in cross-functional teams
Salary range: $145,000 to $190,000.
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If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a groundbreaking Series C space startup, we'd love for you to apply. The Role The software team at K2 builds software across the stack, from gateware & micro firmware to high level satellite control to Ground Software and all the associated testing, and we're looking for an SDET who shares our belief that test infrastructure is a first-class engineering discipline. You will be embedded directly within the flight software team, working shoulder-to-shoulder with the engineers writing the code that flies our spacecraft owning the automation frameworks, test tooling, and HIL infrastructure that make rapid, confident software deployment possible. This role is not a QA function. You will be a builder. In your first 6 months, you will design and ship core test automation frameworks and integrate them into our CI/CD pipelines. In your first year, you will own end-to-end test coverage across multiple spacecraft subsystems and lead HIL testing campaigns alongside flight software engineers, proving the software is ready to go to space. In your first two years, you will have operated your test systems against hardware that has been launched to orbit. Responsibilities Design, develop, and own software test frameworks targeting K2's flight software stack, including subsystems for propulsion, GNC, power, thermal, and communications Build and maintain automation tooling that integrates seamlessly into CI/CD pipelines, enabling fast and reliable flight software deployment Develop hardware-in-the-loop (HIL) and software-in-the-loop (SIL) test infrastructure in close collaboration with flight software engineers Create tooling for test execution, data collection, and anomaly triage that gives engineers clear, actionable signal Reduce flaky and nondeterministic tests; continuously improve coverage, pipeline reliability, and test execution speed Collaborate with flight software, avionics, and systems engineers to define test requirements, write test plans, and execute verification campaigns Analyze test results to identify and characterize failures, and drive resolution across the team Maintain documentation for test infrastructure, procedures, and hardware configurations Qualifications Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, or a related STEM field, or equivalent professional experience Experience building and maintaining test automation frameworks, not just executing tests written by others Experience with CI/CD systems (e.g., GitLab Pipelines, GitHub Actions, Jenkins) and version control (Git) Nice to Have Experience with hardware-in-the-loop (HIL) testbeds or embedded systems testing Experience testing avionics, spacecraft, robotics, autonomous vehicles, or other safety-critical hardware Rust programming experience, including embedded or no_std environments Knowledge of real-time operating systems (RTOS) or bare-metal embedded firmware Familiarity with aerospace communication protocols (RS-422/485, Ethernet, UART, SpaceWire, Ethernet) Experience with electronics test equipment: oscilloscopes, logic analyzers, power supplies Containerization experience (Docker, Kubernetes) for test environment management Experience with Embedded Linux Familiarity with shell scripting Compensation and Benefits: Base salary range for this role is $135,000 - $175,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
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.