Senior Mechanical Engineer

🏢 Summary: Hands-on Hardware Systems Engineer role owning end-to-end development of a new class of industrial CT scanners, spanning electrical architecture, embedded firmware, mechanical integration, and system validation. The position involves driving system architecture, building and integrating prototypes, and bringing hardware from concept through production. This is a highly interdisciplinary role focused on full-stack hardware development and system-level decision making. 🗂️ Requirements: Several years of hands-on experience developing complex electro-mechanical or robotics hardware, Experience taking hardware from concept to working prototype, Broad knowledge of mechanical design, electronics, and embedded programming, Ability to create simple MCAD and ECAD designs independently, Experience with system integration and hardware validation, Legal authorization to work in the United States 📃 Skills: MCAD, ECAD, Firmware, Embedded, PCB, Electronics, MotionControl, Sensors, Actuators, PowerSupplies, Drivers, X-ray, Robotics, Testing, Validation 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the Role: The Hardware Group is looking for a Hardware Systems Engineer to join our San Francisco office and own the breadth of hardware development for a new class of industrial CT scanners. You’ll span electrical architecture and design, MCU firmware, and system integration, partnering tightly with other engineering and product teams to bring prototypes from concept through to shipping product. This is a hands-on, highly interdisciplinary role. You will be the hardware generalist closest to the product in San Francisco, collaborating with our team in Cambridge to carry system-level decisions all the way down to boards, firmware, and integrated prototypes. You’ll work alongside a small, fast-moving team that values curiosity, rigor, and system-level thinking. This is a full-time, in-person role based in our Cambridge, MA office. What you'll do: Drive the system architecture. Translate product-level requirements into a clear split across mechanical, electrical, and firmware, and make the buy-vs-build calls on the components that matter. Select and qualify the critical parts (motors, sensors, actuators, motion controllers, power supplies) and own the rationale and tradeoffs. Handle the light CAD yourself: MCAD for brackets, mounts, and fixtures; ECAD for embedded platforms and smaller PCBAs. Build the prototypes. Turn a wrench, pull cables, bring up boards, and bring a pile of parts up to a working integrated system. Write drivers for the peripherals you pull onto the product and land them in the appliance firmware and application stack with the Systems Software team. Own test and validation. Plan it, fixture it, run it, analyze the data, and push corrective actions back into the design. About you: Several years of hands-on experience taking a complex electro-mechanical or robotics product from blank page to working hardware. Breadth of knowledge in mechanical design, electronics, and embedded code. You don’t need to be the best in the room at any of the three, but you’ve done all three on real products. Comfortable enough in MCAD and ECAD to produce your own simple designs without handing them off to a specialist. A tinkerer at heart - you chase ambiguity into the hardware and keep digging until you understand why a system behaves the way it does. Bonus points for: Background in motion control, closed-loop systems, or sensor fusion. Shipped a hardware product from first prototype to production at volume. Experience with X-ray systems or other radiation-emitting equipment. We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building.

🏢 Summary: Systems Software Engineer role focused on developing high-performance application software and firmware for in-line CT scanning systems, working with embedded Linux and hardware integrations to deliver production-grade data acquisition and image processing solutions. The position involves scaling embedded devices and architecting robust, configurable systems for manufacturing environments. 🗂️ Requirements: 3+ years experience in low-level high-performance software development, Proficiency in Python and C, Experience shipping applications on embedded Linux, Experience configuring udev systemd and kernel schedulers, Hands-on hardware integration using vendor SDKs, Proficiency with Python concurrency models asyncio threading multiprocessing, Strong knowledge of debuggers profilers and performance optimization, Ability to design integrate and test systems from datasheets, Bachelor's degree in Engineering or related field, Legal authorization to work in the United States 📃 Skills: Python, C, Linux, Embedded, udev, systemd, Kernel, asyncio, threading, multiprocessing, CUDA, Jetson, ComputerVision, MachineLearning, React 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role: As a Systems Software Engineer at Lumafield, you will work on the software that powers our next-generation, manufacturing in-line CT scanning products. You'll work on the bleeding edge of X-ray physics, high-speed detectors, image processing, and embedded systems. On a small team working on our newest hardware, you'll bring the skill to extract the highest quality data out of the system and achieve great outcomes for our customers. This role is ideal for candidates who are looking for an opportunity to scale a fleet of embedded devices from hundreds of units to thousands, and introduce production-grade capability to our systems. This role is located in Lumafield’s Cambridge, MA office. What You'll Do: Write performance edge application software to acquire, process, and stream radiograph data Write appliance firmware to maintain tight control loops for scanner peripherals Participate in code reviews, build up testing infrastructure, and help set a high standard for how the team can move fast and maintain high levels of quality. Ship production critical Linux-based applications Architect data acquisition solutions that balance configurability and customizability Collaborate closely with our product, research, hardware, and software development teams to understand requirements and architect solutions About You: 3+ years of experience writing low-level, high-performance software in Python and C; you not only write code, but also understand the performance impact on a specific system. Experience shipping applications with embedded Linux, including configuring core services such as udev, systemd, and kernel schedulers. 3+ years of startup experience – you know the trade-offs between shipping fast and perfecting a design. Hands-on experience integrating new hardware platforms by using vendor SDKs and manuals to write performant, maintainable driver integrations Mastery of software engineering fundamentals including debuggers, profilers, and evaluating trade-offs between different technology choices, and proficiency with Python’s built-in concurrency models (asyncio, threading, and multiprocessing) Able to design, integrate, and test systems by interpreting component and product datasheets. Bachelor's degree in Engineering or related field Bonus Points For: Experience building & shipping high performance hardware-accelerated image processing edge solutions using NVIDIA CUDA and/or Jetson platform Experience with classical computer vision techniques and machine learning CV algorithms Experience with shipping user-facing UIs written in React.js We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building.

🏢 Summary: Customer-facing AI/ML Application Engineer role focused on developing and deploying machine learning models using 2D and 3D CT data for manufacturing and inspection workflows. The position involves owning the full ML lifecycle, collaborating with customer engineering teams, and contributing to internal AI/ML platform strategy. The role includes hands-on work in computer vision, MLOps, and industrial manufacturing environments with approximately 30% travel. 🗂️ Requirements: 4+ years of professional experience in applied computer vision, Experience developing and evaluating ML models on image or volumetric data, Hands-on experience deploying, monitoring, and retraining ML models in production, Experience translating business and engineering problems into ML solutions, Ability to work directly with customers and non-ML stakeholders, Comfort working in engineering and manufacturing environments, Strong written and verbal technical communication skills, Experience delivering practical production-ready ML models, Willingness to travel approximately 30% 📃 Skills: Python, MachineLearning, ComputerVision, MLOps, CT, AI, MES, SPC, PLM, NDT 🏢 Description: About the role: Lumafield is looking for an ML-experienced, customer-facing engineer to help customers achieve business results with CT-generated data. As an AI/ML Application Engineer, you will develop, test, and implement machine learning models inside customer engineering and manufacturing environments — for defect detection, dimensional analysis, anomaly detection, and process control. The role includes both customer-facing work and internal platform work. With customers, you will scope ML applications, build and validate models against their data, and deploy them into their production workflows, remotely and on-site. You will work closely with Project Managers and the rest of the customer-facing organization including other Applications Engineers and Customer Success team members. Internally, you will partner with Product Management and Software Engineering to harden recurring customer needs into product, and contribute to Lumafield's internal AI/ML strategy across the platform. What you'll do: - Develop, test, and deploy machine learning models using 2D and 3D CT data for customer inspection use cases. - Work directly with customer engineering and manufacturing teams, both remotely and on-site, to own the full model lifecycle, from data preparation, feature and label design, training, evaluation, and deployment to monitoring and retraining. - Partner with Project Managers to scope customer ML deliverables, set realistic timelines, define success criteria, and communicate progress and risk. - Collaborate with Product Management and Software Engineering to translate recurring customer needs into product capabilities and support work to improve the broader Lumafield platform. - Contribute to Lumafield's internal AI/ML strategy, including model evaluation standards, deployment patterns, and governance across regulated industries. - Produce clear technical documentation, including model documentation, validation memos, and customer-facing reports. About you: - 4+ years of professional experience building, including depth in applied computer vision, including model development and evaluation on image or volumetric data. - Hands-on experience taking ML models from training into production, including deployment, monitoring, and retraining (MLOps). - Experience working directly with customers or other non-ML stakeholders to translate business and engineering problems into ML solutions. - Comfort operating in engineering and manufacturing environments, including working with team members on the production floor. - Strong written and verbal communication skills, including the ability to present technical results to engineering, product, and executive audiences. - A track record of shipping pragmatic, useful models — balancing speed, quality, and customer impact. - Willingness to travel approximately 30%, primarily to customer sites. Bonus points: - Background in industrial CT, computer vision on volumetric or 3D data, or NDT and inspection workflows. - Prior experience in a customer-facing role such as Application Engineering, Solutions Engineering, or Forward Deployed Engineering at a technical product company. - Familiarity with manufacturing data systems such as MES, SPC, or PLM, and the workflows surrounding them. - Experience contributing to internal AI/ML strategy or platform decisions at a previous company. - Domain experience in medical devices, aerospace and defense, automotive, electronics, or batteries. Benefits: - Competitive cash and equity compensation - Health and wellness stipend - 401k - Parental leave - Flexible PTO - Commuter benefits - Company-wide events

🏢 Summary: Principal Software Engineer role focused on leading the architectural evolution of a complex SaaS platform, solving advanced backend challenges, and setting engineering standards across teams. The position combines deep hands-on development in a .NET monolith and microservices environment with high-level architectural ownership. It requires strong technical judgment to guide large-scale system design, performance optimization, and AI-native capabilities. 🗂️ Requirements: 8+ years backend engineering experience, Expert knowledge of C#, Expert knowledge of modern .NET, Experience in Staff/Principal/Senior Tech Lead role, Experience architecting large-scale monolithic and distributed systems, Expert SQL and database design skills, Experience diagnosing and optimizing slow production queries, Deep expertise with Entity Framework, Strong understanding of DDD and clean architecture, Experience defining backend engineering standards, Experience with test automation strategies, Strong English communication skills, Hands-on experience with AI coding tools 📃 Skills: C#, .NET, SQL, EntityFramework, AzureSQL, SQLServer, DDD, CleanArchitecture, MassTransit, AzureServiceBus, OpenTelemetry, Grafana, Azure, AzureDevOps, Angular, Cursor, Claude 🏢 Description: Principal Platform Engineer at Manufacturo 190-260 PLN/H Hybrid – Kraków B2B role Manufacturo powers operations for companies building satellites, fusion reactors, next-generation aircraft, and hypersonic vehicles. Our clients are working on some of the most advanced industrial programs in the world — and they rely on software that can keep up. Companies such as Hermeus, Relativity Space, and Sierra Space use Manufacturo to run complex manufacturing operations with greater control, traceability, and speed. We're a SaaS company with a team that includes former leaders from SpaceX. We move fast, operate globally, and make decisions swiftly - because the people we serve can't afford anything less. Your voice will be heard here, and the work you do will have a real impact on the world. We are hiring a Principal Software Engineer to help shape the technical future of our platform. This role is for someone who wants to solve hard backend problems, guide architecture with sound judgment, and raise the level of other engineers through mentorship, communication, and strong engineering standards. The Role As a Principal Platform Engineer at Manufacturo, you'll work at both levels: deep in the hardest problems on the platform, and wide enough to set the standard for others to follow. You'll define the architecture, raise the quality bar, and make sure the right technical decisions are made, not by directing from a distance, but by being the person in the room whose opinion carries weight because the work backs it up. This role requires both deep hands-on technical contribution and the ability to multiply the impact of others. We need someone who can take on the hardest problems while also helping senior developers and leads make better technical decisions through teaching, feedback, and clear standards. You will report directly to the Director of Software Engineering and act as their technical partner across the organization. This is a individual contributor role with no people management responsibilities. You should be comfortable working in a high-change environment where priorities evolve, new information appears quickly, and strong technical judgment is needed to keep teams moving in the right direction without losing quality. What you'll do Own the architecture and technical direction of the platform’s core Tackle the hardest engineering problems, including performance bottlenecks, complex integrations, and architectural evolution Define and evolve backend engineering standards across all teams Lead design reviews and author RFCs/ADRs for high-impact technical decisions Partner with the Director of Software Engineering, Product, and engineering leadership to assess technical feasibility early, shape direction, and resolve tradeoffs before they become delivery problems Mentor senior engineers code reviews, architecture workshops, pair programming, technical discussions, and tech talks that improve how the organization designs, builds, and operates software Raise the quality bar across the backend through example, teaching, and clear standards Required skills & experience 8+ years of backend engineering experience, with deep, proven mastery of C# and modern .NET A demonstrated track record operating successfully in a Staff Engineer, Principal Engineer, or Senior Tech Lead role Proven experience architecting, building, and owning large, complex systems end-to-end, including both monolithic and distributed architectures Expert-level SQL and database design skills, including diagnosing slow queries in production and designing schemas that hold up under real load Deep practical expertise with Entity Framework, including performance tradeoffs, query behavior, and data access strategy Strong architectural judgment and experience applying concepts such as DDD and clean architecture pragmatically A strong quality mindset, including test automation strategy and clear standards for what “done” means Strong written and verbal communication skills in English — you are comfortable explaining technical tradeoffs, mentoring other engineers, leading code reviews, and facilitating architecture discussions Enthusiasm for and hands-on proficiency with AI coding tools such as Cursor and Claude Code as productivity multipliers Nice to have You'll stand out if you bring any of the following: Hands-on experience with cloud infrastructure at scale, with Azure being a strong advantage Experience with Angular or a modern frontend framework - enough to make informed architectural decisions across the full stack Familiarity with Azure DevOps and CI/CD pipeline design at an organizational level, not just usage Experience designing for compliance-driven deployment constraints - data sovereignty, tenant isolation, and schema management across numbers of independent databases Background or genuine curiosity about Manufacturing Execution Systems (MES) -understanding the domain makes the hardest problems tractable Our tech stack Backend: .NET, C#, Entity Framework, SQL Server / Azure SQL Messaging: Azure Service Bus, MassTransit Observability: OpenTelemetry, Grafana stack Frontend: Angular, our own Angular Component Library Cloud: Azure CI/CD: Azure DevOps AI tooling: Cursor, Claude Code, and other modern AI-assisted development tools What you’ll get in return Real authority, real access. Direct collaboration with the CPO and Director of Development. Your decisions will be heard, debated, and acted on - with organizational backing to make standards stick. Customers building the next century. Rockets, fusion reactors, hypersonic systems. The problems you solve here have consequences that matter. People who will match you. You'll work alongside engineers and leaders with backgrounds from SpaceX and other high-bar organizations. Expect to be challenged, not just followed. AI at the foundation, not the edge. You'll be building the architecture that makes AI native to the platform - not retrofitting it later. Hybrid working with three days in our Kraków office, comprehensive healthcare including life insurance, and a Multisport Card. This role is for someone serious about their craft. If that is you, we would like to talk.

🏢 Summary: Senior Engineer role focused on independently delivering MVP features and Proofs of Concept end-to-end on an existing large-scale SaaS and data connector platform, with strong emphasis on practical use of LLMs and AI tools in daily development. The position involves backend-oriented full-stack development, rapid prototyping, and integration with cloud and CI/CD environments in a remote setup. 🗂️ Requirements: 4+ years of experience with Python, Full-stack development experience with strong backend focus, Knowledge of TypeScript, Knowledge of React, Hands-on experience using LLMs/AI tools in development workflows, Experience integrating with cloud services, Experience working with CI/CD pipelines, Professional level of English 📃 Skills: Python, TypeScript, React, LLM, AI, SaaS, CI/CD, Cloud 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a Senior Engineer who will independently deliver new MVP features and Proofs of Concept end-to-end. You will build on top of an existing large-scale SaaS and data connector platform, extending it with new ideas rather than starting in a pure greenfield. A key part of this role is the practical use of LLMs and AI tools in everyday development — to accelerate prototyping, coding, research and validation. Responsibilities Independently design and build MVP features and PoCs end-to-end Validate technical feasibility and provide pragmatic architecture decisions Use LLMs and AI tools to accelerate prototyping and exploration Implement clean, maintainable code Integrate with cloud services and CI/CD pipelines for fast delivery Collaborate with product/design to shape and refine early concepts Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 4+ years of experience with Python Full-stack skillset with strong backend orientation Knowledge of front-end technologies like TypeScript and React Demonstrated, hands-on use of LLMs/AI in real development workflows(e.g. code generation, refactoring, prototyping) Product mindset, speed, and autonomy in early-stage development Strong communication and teamwork skills — you’re proactive, listen with intention, and use clear writing to bring ideas to the table and keep everyone aligned. Professional level of English Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 Summary: Onsite Optical Designer and Analyst role focused on designing, analyzing, and optimizing space-based optical communication systems, including free-space and high-speed laser applications. The position leads the full optical system lifecycle from concept through prototyping, ensuring performance, manufacturability, and integration into spacecraft or ground platforms. Ideal for an experienced optical engineer with strong simulation expertise and cross-disciplinary collaboration skills. 🗂️ Requirements: Bachelor’s degree in Optics, Mechanical Engineering, Electrical Engineering, Telecommunications Engineering, Physics, or related field, Proven experience in optical system design for space-based or high-precision instruments, Extensive experience with optical design software (e.g., ZEMAX), Experience with mechanical design tools (e.g., SolidWorks or Siemens NX), Ability to perform tolerance, wavefront, radiometric, and propagation analysis, Eligibility to comply with U.S. export control regulations (ITAR) 📃 Skills: ZEMAX, SolidWorks, SiemensNX, Optics, Optomechanics, Radiometry, Wavefront, ITAR, FiberOptics, Lasers 🏢 Description: The Role The Optical Designer and Analyst will be responsible for designing, analyzing, and optimizing optical systems for space-based communication technologies. This role requires hands-on experience with optical design software, a strong background in optics, and the ability to collaborate across disciplines to deliver optical designs that are both innovative and capable of cost-effective mass production. Location: Onsite in Broomfield, Colorado office Travel: Up to 5% Responsibilities - Lead the full lifecycle of optical systems, including conceptualization, simulation, detailed design, and prototyping, with focus on free-space optical communication systems and high-speed laser applications. - Conduct in-depth analysis using optical design software to optimize system performance, including manufacturing and alignment tolerances, wavefront error, radiometric analysis, free-space far-field propagation, and fiber coupling efficiency. - Collaborate with mechanical, electrical, software, and control engineering teams to integrate optical subsystems into spacecraft or ground-based platforms. - Develop and implement optomechanical design and analysis strategies, including Structural-Thermal-Optical Performance analysis for space environments. - Write and maintain technical documentation for designs, analyses, and test procedures; mentor and transfer knowledge to team members. Qualifications - Bachelor’s degree or higher in Optics, Mechanical Engineering, Electrical Engineering, Telecommunications Engineering, Physics, or related technical field. - Proven experience in optical system design, particularly for space-based or high-precision optical instruments. - Extensive experience with optical design software (e.g., ZEMAX) and mechanical design tools (e.g., SolidWorks, Siemens NX). - Must meet U.S. Government export control regulations (ITAR) requirements. Preferred Qualifications - Experience with optical design for space-flight systems or astronomy. - Experience working in a cleanroom environment (ISO 5 to ISO 8). - Spanish speaking is a plus. Compensation and Benefits - Base salary range: $116,736 - $152,250, plus bonus and equity. - Comprehensive medical, dental, and vision plans. - 401(k) with company match. - Unlimited PTO and paid holidays. - Parental/adoption leave. - Legal insurance. - Home technology stipend. Employment is contingent upon compliance with U.S. export control and government contract restrictions.

🏢 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.

🏢 Summary: Staff NPI Manufacturing Engineer responsible for leading the transition of electromechanical products from prototype through pilot builds into scaled production. The role drives manufacturability, quality, and testability across subassemblies while partnering cross-functionally to ensure successful production launches. Focus areas include DFM/DFA/DFT, process validation, yield improvement, and supply chain readiness in NPI environments. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or related field, 7+ years of relevant engineering experience, 5+ years in manufacturing assembly for electromechanical or embedded systems, Hands-on experience in NPI environments on the manufacturing floor, Experience transitioning products from development through PVT to end of life, Experience with manufacturing test requirements and test stand development, Knowledge of FMEA, ECO processes, and PLM systems, Experience supporting EMS/CM partners and supply chain readiness, Authorization to work in the United States 📃 Skills: DFM, DFA, DFT, SPC, Lean, SixSigma, FMEA, ECO, PLM, Altium, Creo, HALT, PVT, EVT, DVT 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About the Role We're looking for a Staff NPI Manufacturing Engineer to lead the transition of innovative, electromechanical designs from prototype through pilot builds into scaled production. This role focuses on new product introduction (NPI) and is critical in ensuring manufacturability, quality, and testability across electromechanical subsystems and sub-assemblies including hardware, sensors, actuators, cables, and integration modules. This is a highly cross-functional role, partnering with electrical and mechanical design, test engineering, quality, and supply chain—along with EMS and mechanical suppliers—to ensure rapid, repeatable, and high-quality production launches. About the Work - Lead NPI activities across multiple product lines, managing the transition from design to production for various electromechanical subassemblies. - Own DFM/DFA/DFT efforts during early design phases to influence product architecture and ensure manufacturing scalability. - Develop and release work instructions, BOMs, process flows, test procedures, and fixture/tooling designs across prototype and pilot builds. - Drive build readiness, supporting Proto/EVT/DVT/PVT activities including line bring-up, process validation, and pilot build execution. - Troubleshoot and resolve issues at the sub-system and system level, conducting structured root cause analysis for mechanical or electrical issues. - Partner with EMS providers and component suppliers to drive first-pass yield, throughput, and process capability. - Support yield improvements and cost reduction through data analysis and process optimization using SPC, lean, and 6 sigma tools. - Contribute to environmental, reliability, and lifecycle testing plans and setups (e.g., burn-in, thermal cycling, HALT). - Develop, review, and release manufacturing specifications, drawings, BOMs, processes, SOPs, equipment, workflows, and tools/fixtures for new products to support high-quality production. - Collaborate with suppliers and contract manufacturers to ensure effective qualification, process capabilities, and material disposition. - Document processes clearly and communicate effectively across teams. About You - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related field, with 7+ years of relevant experience. - 5+ years in manufacturing assembly for electromechanical or embedded systems products; experience in NPI environments directly working on the manufacturing floor is highly preferred. - Hands-on experience in supporting and troubleshooting the design, assembly, and testing of electro-mechanical systems utilizing data analysis and lean methods. - Experience in transitioning products and processes from development to production (NPI), including into Production Validation Testing (PVT) through to end of life (EOL). - Familiarity with creating manufacturing test requirements, test stand equipment development, validation testing, Engineering Change Order (ECO) production release, and training engineers, production staff, and suppliers/CMs. - Proficiency with Altium and/or Creo is a significant plus, along with mechanical design knowledge to create and release test fixtures. - Experience supporting EMS/CM partners and driving supply chain readiness. - Working knowledge of FMEA, ECO processes, PLM systems, and design validation best practices. - Excellent communication, technical documentation, and collaboration skills. Benefits Anticipated Base Salary Range: $144,000—$186,000 USD In addition to base pay, the competitive total rewards package for full-time employees includes: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance - Benefits eligibility from first day of employment - Employee Assistance Program (EAP) - Flexible, unlimited PTO for exempt employees or 10 vacation days plus paid sick leave for non-exempt employees - 12 company holidays including a winter shutdown - Catered lunches and on-site snacks - Generous paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles All roles are U.S.-based. Applicants must have current authorization to work in the United States.

🏢 Summary: Senior Machine Learning Engineer role focused on advancing AI and ML capabilities within a large-scale digital platform. The position involves researching, prototyping, and deploying state-of-the-art machine learning solutions to improve cost prediction, pricing, and sourcing models. The role combines hands-on model development, cloud-native engineering, and technical leadership in a production ML environment. 🗂️ Requirements: 5+ years building large-scale ML-driven user-facing products, 3+ years leading cross-team engineering initiatives, Experience with state-of-the-art ML techniques (transformers, self-supervised learning, generative models, LLMs), Hands-on experience training and deploying models at scale, Experience with large-scale data processing, Proficiency with deep learning frameworks, Experience with containers and container orchestration, Experience with distributed systems, Strong knowledge of OOP, design patterns, refactoring, and testing, Experience with Infrastructure as Code, Strong SQL and/or NoSQL knowledge, Experience designing databases and performing data analysis, Experience building and maintaining CI/CD pipelines, Proficiency with Unix/Linux systems, US Citizenship or Green Card (ITAR requirement) 📃 Skills: Python, PyTorch, TensorFlow, Transformers, LLMs, Docker, Kubernetes, SQL, NoSQL, CI/CD, Linux, IaC, DistributedSystems, OOP, Git 🏢 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 Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can't imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter. Responsibilities: At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively Qualifications: Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow) Successful candidates in this role need to be able to bridge state of the art approaches to real world impact A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems An engineer with a self-driven attitude who can own problems and deliver solutions Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis Experience building and consuming CI/CD pipelines Someone who knows their way around the command line and has experience working with *nix systems 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products 3+ years experience leading cross-team engineering efforts Strong execution skills in project management 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.

🏢 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.