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: Senior Software Engineer role focused on designing and delivering new features and PoCs end-to-end on a large-scale SaaS and data platform. The position emphasizes backend development in Python, extending a mature system, and leveraging AI/LLM tools to accelerate development and improve engineering workflows. Fully remote with high ownership and impact on product direction. 🗂️ Requirements: 7+ years of Software Engineering experience, Strong experience with Python, Experience with Django, Experience building large-scale production systems, Experience designing and maintaining REST APIs, Strong understanding of distributed systems, Strong understanding of backend architecture, Daily practical use of AI tools and LLMs in development workflows, Experience with cloud environments, Ability to independently design and deliver end-to-end solutions, Professional English proficiency 📃 Skills: Python, Django, REST, API, SaaS, LLM, AI, Cloud, DistributedSystems, Backend 🏢 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 product-driven Senior Software Engineer who thrives in fast-paced environments and enjoys turning ideas into practical, user-focused solutions. In this role, you will independently design and deliver new features and PoC end-to-end on top of an existing large-scale SaaS and data platform. Rather than working in a purely greenfield environment, you will extend and evolve a mature platform with new capabilities, focusing on speed, usability, and real customer value. A key part of this role is the daily use of AI and LLM-based tools to accelerate development workflows, prototyping, research, testing, and delivery. We are looking for someone who not only uses AI tools effectively but also understands how to integrate AI reasoning and automation into modern software engineering practices. Responsibilities Independently design, prototype, and deliver new features and PoCs end-to-end Translate product ideas into scalable and user-focused backend solutions Validate technical feasibility and make pragmatic architectural decisions Use AI tools, coding copilots, and LLM-based workflows to accelerate development, experimentation, and delivery Build and maintain scalable backend services and REST APIs using Python (preferably Django) Collaborate closely with Product, Design, and Engineering teams to shape and refine new features Contribute to engineering quality through code reviews, technical guidance, and knowledge sharing Continuously explore and introduce practical AI-driven workflows that improve engineering productivity and delivery speed 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 7+ years of experience as a Software Engineer Strong experience with Python and preferably Django Experience building and maintaining large-scale production systems and REST APIs Strong understanding of distributed systems and modern backend architecture Demonstrated daily use of AI tools and LLMs in real engineering workflows (e.g. code generation, prototyping, refactoring, testing, documentation, automation) Experience integrating with complex platforms and cloud environments Ability to independently deliver solutions with minimal supervision Strong product mindset and focus on solving real user problems Excellent communication and collaboration skills across Product, Design, and Engineering teams Curiosity, ownership, and passion for learning and experimenting with new technologies Professional level of English Nice to Have Experience mentoring or coaching engineers Experience working with data products and related scalability challenges Experience promoting AI-driven engineering practices and helping teams adopt modern AI workflows 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: 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: Staff Engineer role focused on mechanical and thermal simulation for next-generation semiconductor packaging and memory devices, including modeling, reliability analysis, and workflow automation. The position involves cross-functional collaboration, validation testing, and development of advanced packaging solutions using industry-standard simulation tools. Daily onsite work in San Jose with some domestic and international travel is required. 🗂️ Requirements: Ph.D. in Mechanical Engineering, Materials Science, Physics, or related field, 3+ years of modeling and simulation experience in semiconductor or high-tech industry, Expertise with ANSYS, Abaqus, HyperMesh, Proficiency with Flotherm and Icepak, Experience with static and dynamic linear and nonlinear simulations, Knowledge of advanced semiconductor packaging and interconnect structures, Experience with reliability modeling techniques, Ability to develop automation scripts in Python, MATLAB, or ANSYS APDL, Technical writing and documentation skills, Ability to work with cross-functional global teams 📃 Skills: ANSYS, Abaqus, HyperMesh, Flotherm, Icepak, Python, MATLAB, APDL, Simulation, Modeling, Thermal, Mechanical, Semiconductor, Packaging, Reliability 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Join Samsung Semiconductor to guide the development and design evaluation of next‑generation semiconductor packages and memory devices. In this role as a Staff Engineer for Mechanical Simulation, you will partner with cross‑functional, multicultural teams to advance innovative packaging solutions, automate simulation workflows, and bridge the gap between numerical predictions and experimental validation. Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10-20% of domestic and international travel. Reports to: Principal Engineer What You'll Do - Perform advanced numerical modeling and simulation to evaluate and improve the performance and reliability of cutting‑edge semiconductor packages and memory devices. - Provide mechanical and thermal design support throughout package‑ and system‑development stages—from concept and detailed modeling to qualification and reliability testing. - Apply hands‑on expertise in mechanical and thermal modeling of micro‑electronic components, including interconnects, solder joints, BGAs, and advanced‑packaging architectures. - Develop and maintain scripts for process automation (Python, MATLAB, or ANSYS APDL) to streamline pre‑processing, simulation, and post‑processing workflows for parametric and sensitivity studies. - Leverage a solid understanding of semiconductor manufacturing, advanced‑packaging technologies, material properties, and associated design and reliability constraints. - Design, execute, and interpret validation experiments that correlate and calibrate simulation models with empirical data. - Contribute effectively both independently and as a member of cross‑functional, cross‑cultural, and globally distributed teams. What You Bring - Ph.D. in Mechanical Engineering, Materials Science, Physics, or a related field. (Equivalent combination of a Master's degree and extensive professional experience also welcomed). - 3+ years of hands‑on modeling and simulation experience in the high‑tech or semiconductor industry. - Proven expertise with leading simulation tools such as ANSYS, Abaqus, HyperMesh, and their associated pre‑/post‑processing software. - Proficiency in thermal‑analysis platforms Flotherm and Icepak, together with related utilities. - Extensive experience in static and dynamic simulations, covering linear and nonlinear analyses. - Deep knowledge of design strategies for advanced packaging solutions. - In‑depth understanding of advanced semiconductor packaging, interconnect structures, and reliability‑modeling techniques. - Strong technical‑writing skills, capable of producing clear, comprehensive documentation and communicating complex concepts to both technical and non‑technical audiences. - You're inclusive, adapting your style to the situation and diverse global norms of our people. - An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. - You're collaborative, building relationships, humbly offering support and openly welcoming approaches. - Innovative and creative, you proactively explore new ideas and adapt quickly to change. What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. - Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. - Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. - Care for Family including fertility care or adoption support, medical travel support, and virtual vet care. - Prioritize Emotional Wellness with on-demand apps and free confidential therapy sessions. - Stay Fit with onsite café and gym, plus virtual classes. - Embrace Flexibility with a flexible work environment. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel. Our Commitment to Innovation and Fairness At Samsung Semiconductor, AI tools may be used in the recruitment process to enhance efficiency, but all hiring decisions are made by human recruiting teams and hiring managers. Applicant AI Use Policy Candidates may use AI tools for preparation, grammar, and research, but not for generating submitted content or live interview responses. Trade Secret Notice By submitting an application, you agree not to disclose confidential or proprietary information belonging to a current or former employer or other entity.

🏢 Summary: Senior Software Engineer role focused on test automation and quality engineering for a greenfield clinical diagnostics platform in the healthcare industry. The position involves building scalable automation frameworks, CI/CD pipelines, and quality tooling to support compliant and reliable software delivery. The role also includes defining engineering standards, leveraging AI-assisted development tools, and supporting regulated software processes. 🗂️ Requirements: 8+ years of software engineering experience, Strong test automation and quality engineering expertise, Object-oriented design knowledge, Understanding of SOLID and DRY principles, Experience with concurrency, data structures, and algorithms, Hands-on development experience in Java or TypeScript, Experience building automation frameworks from scratch, Knowledge of API and integration testing, CI/CD pipeline design and maintenance experience, Experience with GitHub Actions or GitLab CI, Experience with AI-assisted development tools, Experience with Docker and containerized environments, Ability to define technical standards, Professional English proficiency 📃 Skills: Java, TypeScript, Docker, Testcontainers, GitHub, GitLab, CI/CD, API, AWS, REST, AI 🏢 Description: About the project You'll join a greenfield project in the medical diagnostics / healthcare industry, focused on building a regulated clinical diagnostic platform supporting first-trimester prenatal screening for trisomy and preeclampsia risk assessment. As a Senior Software Engineer specializing in Test Automation and Quality Engineering, you will help establish the engineering foundations of the platform by developing scalable automation frameworks, quality tooling, and CI/CD solutions that enable fast, reliable, and compliant software delivery. This is a hands-on engineering role with a strong focus on software development, technical leadership, and building solutions that promote quality by design. Responsibilities - Design and develop scalable test automation frameworks and quality engineering tooling. - Build and implement a risk-based testing strategy across unit, integration, API, and critical end-to-end test layers. - Design and optimize CI/CD pipelines to provide fast and reliable feedback through parallel execution, sharding, artifact management, and flaky test detection. - Define and promote engineering standards, testing patterns, and best practices across development teams. - Leverage AI-powered development tools to accelerate test generation, coverage analysis, failure investigation, and test maintenance while maintaining engineering quality and ownership. - Build reproducible containerized test environments using Docker and Testcontainers. - Develop shared quality engineering solutions and internal tooling that can be adopted across multiple product teams. - Support software traceability, auditability, and compliance processes required in a regulated environment. Requirements - 8+ years of professional software engineering experience with a strong focus on test automation and quality engineering. - Strong software engineering fundamentals, including object-oriented design, design patterns, SOLID principles, DRY, concurrency, data structures, and algorithms. - Hands-on experience developing production-grade applications in Java, TypeScript, or another object-oriented programming language. - Proven experience designing and building scalable automation frameworks and internal engineering tools from scratch. - Strong knowledge of test automation architecture, test pyramid principles, API testing, integration testing, and test isolation techniques. - Extensive experience designing and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, or similar platforms. - Experience using AI-assisted software development tools and integrating AI into engineering workflows while ensuring code quality. - Experience building containerized test environments and development infrastructure. - Ability to define technical standards and influence engineering practices across multiple teams. - Professional English proficiency. Nice to have - Experience developing software in regulated industries such as medical devices, healthcare, or pharmaceuticals. - Experience with cloud platforms, especially AWS. - Knowledge of Testcontainers for integration testing. - Experience with contract testing and REST API validation. - Contributions to open-source projects related to testing frameworks or AI developer tooling.

🏢 Summary: Senior Industrial Engineer role focused on optimizing satellite manufacturing operations through factory simulation, capacity planning, and production system improvements. The position leads cross-functional factory optimization initiatives, supports digital manufacturing transformation, and drives scalable spacecraft production readiness. The role includes project leadership, advanced industrial engineering analysis, and mentoring junior engineers. 🗂️ Requirements: Bachelor’s degree in Industrial Engineering, Systems Engineering, Manufacturing Engineering, or related technical field, 6+ years of experience in industrial engineering, manufacturing engineering, or operations engineering, Experience leading multi-stakeholder projects or factory improvement initiatives, Strong analytical and modeling skills, Experience in complex electromechanical assembly environments, Eligibility to comply with U.S. export control regulations (ITAR) 📃 Skills: Excel, Python, SQL, MES, ERP, Solumina, SAP, FactoryLogix, Siemens, FlexSim, Simio, VSM, Lean, SixSigma, PMP, Simulation, Automation 🏢 Description: We’re expanding our satellite manufacturing capability and seeking a Senior Industrial Engineer to lead factory optimization initiatives and drive scalable, efficient spacecraft production. This role blends advanced industrial engineering with program level project leadership. You will own major initiatives that impact throughput, predictability, and factory readiness as we grow build rates and introduce new product lines. Key Responsibilities - Lead value stream mapping (VSM) exercises to define current and future state flows, identify waste, and extract takt‑limiting constraints. - Build and maintain factory simulations (discrete-event, throughput modeling, WIP flow simulation) to validate production architectures and rate‑readiness strategies. - Use simulation tools to evaluate staffing levels, workstation loading, WIP accumulation, bottlenecks, and expansion scenarios. - Lead factory optimization projects from concept through implementation, including scope, schedule, resource planning, and risk management. - Develop long-term capacity models, rate-readiness plans, and production system architectures. - Design and optimize workstation layouts, tooling strategies, and material flow systems for satellite AIT. - Perform advanced analyses: time studies, discrete-event simulation, constraint modeling, and process mapping. - Establish and maintain factory performance dashboards and KPIs in partnership with Operations and Program Management. - Drive cross-functional alignment on factory upgrades, capital investments, and process changes. - Coach and mentor junior Industrial Engineers and process improvement specialists. - Ensure compliance with cleanroom, ESD, space hardware handling, and quality system requirements. - Support digital transformation of the factory including MES enhancements, automation integration, and data-driven operations. Basic Qualifications - Bachelor’s degree in Industrial Engineering, Systems Engineering, Manufacturing Engineering, or related technical field. - 6+ years of experience in industrial engineering, manufacturing engineering, or operations engineering. - Demonstrated experience leading multi-part stakeholder projects or factory improvement initiatives. - Strong analytical and modeling skills (Excel, Python, SQL, simulation tools). - Experience in complex electromechanical assembly environments. Preferred Qualifications - Aerospace or space hardware experience (satellite, avionics, precision structures, or high-reliability electronics). - Experience with Solumina, SAP, FactoryLogix, or comparable MES/ERP systems. - Experience with Factory Simulation tools: Siemens, FlexSim, Simio, or equivalent. - Professional Certifications: PMP, Lean 6-sigma, etc. - Experience developing capital project proposals or leading factory layout redesigns. - Ability to communicate effectively at all levels, from technicians to executives. Salary - $140,000 - $170,000 USD ITAR Requirements This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a U.S. citizen or national, U.S. lawful permanent resident, Refugee, Asylee, or eligible to obtain required authorizations from the U.S. Department of State. Benefits - Equity participation - Medical, dental, and vision insurance - 401(k) plan with 3% employer contribution - Paid time off and holidays - Paid parental leave - Employee Assistance Program (EAP) - Professional development opportunities - Team building activities Turion Space is an Equal Opportunity Employer.

🏢 Summary: Senior Software Engineer role focused on designing and building AI-powered backend systems that automate healthcare operations while supporting human workflows. The position involves hands-on system architecture, workflow orchestration, distributed systems, and AI process automation in a regulated environment. Remote-first work with required overlap with US Central Time. 🗂️ Requirements: 6+ years of experience building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering skills, Experience with asynchronous, event-driven, or workflow-based distributed systems, Ability to work with 4–5 hour daily overlap with US team, Experience with AI or LLM-based systems and process automation, Strong spoken and written English communication skills, Ability to solve unclear problems with incomplete information, Self-motivated with strong ownership and responsibility 📃 Skills: TypeScript, Node.js, AI, LLM, Claude, Backend, APIs, HIPAA 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: Senior Software Engineer role focused on designing and building scalable backend systems that combine AI automation with human workflows in a regulated healthtech environment. The position involves hands-on system design, workflow orchestration, and development of reliable, auditable AI-powered processes integrated with external platforms. The engineer will lead technical decisions and ensure production-grade reliability, safety, and scalability. 🗂️ Requirements: 6+ years building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering experience, Experience with asynchronous or event-driven distributed systems, Experience with workflow-based systems, Experience integrating AI or LLM-based systems into business workflows, Ability to design scalable, reliable, and auditable systems, Experience working with external or legacy APIs, Ability to overlap 4–5 hours with US time zone, Strong English communication skills 📃 Skills: TypeScript, Node.js, AI, LLM, Anthropic, Claude, APIs, DistributedSystems, EventDriven, Workflows, Backend, Architecture, Monitoring, Testing 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.