Systems Software 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: Senior Mechanical Engineer role focused on designing, prototyping, and refining industrial CT scanning systems across motion systems, structures, and system integration. The position involves leading mechanical design for complex assemblies, collaborating cross-functionally, and supporting products through the full lifecycle from concept to mass manufacturing. This is a hands-on, in-person role based in Cambridge, MA. 🗂️ Requirements: Bachelor's or master's degree, Multiple years of relevant mechanical engineering experience, Experience with complex mechanical assemblies and subsystems, Ability to solve ambiguous and open-ended engineering problems, Hands-on prototyping experience, Cross-functional collaboration skills, Experience supporting products through full product lifecycle, Ability to communicate technical requirements effectively, Mentoring and leadership capabilities 📃 Skills: CAD, CT, Manufacturing, Prototyping, Automation, Instrumentation, AI, Firmware, Hardware, Motion, Systems, Mechanical 🏢 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. 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, enabling rapid non-destructive inspection of essential components. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, making advanced manufacturing technology more accessible. About the role: The Hardware Group is looking for a Senior Mechanical Engineer to help design, prototype, and refine the next generation of industrial CT scanning systems. You’ll work across disciplines — from motion systems and structures to system integration and user-facing features — to develop reliable, manufacturable, and innovative solutions. Our product is a complex hardware-software system. Success in this role requires systems thinking, hands-on prototyping, and the ability to bring structure to ambiguous design problems. You’ll collaborate with electrical, firmware, systems, and software engineers to create hardware that’s functional and user-friendly. This is a hands-on, in-person role based in our Cambridge, MA office. What you'll do: - Lead the technical aspects of mechanical design for complex assemblies and subsystems - Develop well-scoped milestones to deliver quarter-scale goals - Support products through the full lifecycle from concept and design to engineering builds and transfer to mass manufacturing - Accelerate project timelines by making informed technical tradeoffs - Translate business goals into executable technical solutions - Drive cross-functional collaboration with stakeholders - Mentor junior engineers and support their development About you: - Able to identify solutions to ambiguous and under-defined problems - Resilient and adaptable throughout project execution - Strong communication and coordination skills across teams - Understand short- and long-term impacts of technology decisions - Demonstrate engineering excellence and leadership - Enthusiastic about using AI tools to improve quality and speed - Bachelor's or master's degree with multiple years of relevant experience Bonus points: - Experience leading projects through full product lifecycle into mass production - Experience designing motion systems, precision mechanisms, or imaging system mounts - Background in industrial automation, inspection, or scientific instrumentation - Portfolio of mechanical designs, prototypes, or shipped products Benefits: - Competitive cash and equity compensation - Health and wellness stipend - 401k - Parental leave - Flexible PTO - Commuter benefits - Company-wide events

🏢 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: 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: Full Stack Developer role focused on building and integrating LLM-powered features across React frontend and Python backend systems. The position involves working with LLM APIs, developing AI-driven functionality, and collaborating with cross-functional teams in overlapping EST hours. It combines frontend, backend, and AI integration responsibilities in a distributed environment. 🗂️ Requirements: Commercial experience with LLMs and model APIs, Minimum 1 year experience with React, Minimum 1 year experience with Python, Experience developing and integrating APIs, Experience with backend service development, Ability to work in distributed teams with EST overlap, Upper-intermediate English level 📃 Skills: React, Python, LLM, OpenAI, Claude, API, FastAPI, AI, REST, Git 🏢 Description: AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Full Stack Developer to build and integrate LLM-powered features across frontend and backend systems. You will develop React components, extend Python backend services, and work directly with LLM APIs to deliver AI-driven product functionality. The role requires close collaboration with product, QA, and engineering teams with active overlap in EST hours What you will do Develop and integrate LLM-based functionality, including prompt engineering, API-based model usage, and AI workflows; Build and maintain React -based frontend components; Develop and extend Python backend services, including APIs, integrations, and data processing; Collaborate closely with product, QA, and engineering teams in overlapping EST hours; Participate in design discussions and contribute to scalable, maintainable solutions. Must haves Commercial experience with LLMs, including Claude , OpenAI , similar APIs, or custom model integration; 1+ year of experience with React , including hooks, state management, and component-driven development; 1+ year of experience with Python , including API development and backend logic; Experience working in distributed teams with active collaboration; Upper-intermediate English level. Nice to haves Experience with FastAPI or similar frameworks; Exposure to AI evaluation, prompt testing, or AI quality considerations; Prior work on data-heavy or AI-driven products. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Onsite V&V and Operations Tools Developer role focused on building automation, test infrastructure, and software tooling to support hardware integration, validation, and operational monitoring of space-based flight systems. The position centers on developing scalable Python-based tools, enabling Hardware-in-the-Loop testing, and maintaining Linux-based test environments. The role supports mission assurance through robust automation, containerization, and networked system integration. 🗂️ Requirements: Advanced Python proficiency, Strong Object-Oriented Programming knowledge, Experience with Linux administration and troubleshooting, Bash scripting skills, Experience with Docker containerization, Basic experience with REST microservices, Ability to work onsite in Colorado, U.S. Person status for export control compliance 📃 Skills: Python, OOP, Linux, Bash, Docker, REST, TCP/IP, UDP, HIL, ELK, Influx, Grafana, Pandas, Matplotlib, Sphinx, Asciidoc, Markdown 🏢 Description: About IonQ: IonQ, Inc. [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. About Skyloom Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology. Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth's first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations. Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications. Location: This role will be onsite in our Broomfield, Colorado office. Travel: Up to 5%Job ID: 1450The Role We are seeking a V&V and Operations Tools Developer to design, build, and maintain the critical software infrastructure and tooling required for the early design verification, system deliveries validation, and operational monitoring of our flight systems. This role is fundamental to achieving mission assurance by automating testing, supporting complex physical testbeds involving external sensors and actuators, and facilitating early hardware/software integration. Responsibilities Develop high-quality, robust automation scripts and tools to support early hardware integration testing and interface verification. Apply Object- Oriented Programming(OOP) principles to design scalable and reusable software libraries for hardware interface communication and complex data acquisition from the testbed. Design and implement automated test sequences for health integration and performance verification of flight systems, analyzing feedback loops, sensor readings, and actuator responsiveness. Manage and configure the physical testbed infrastructure, including integrating and calibrating external sensors, actuators, and instrumentation required for comprehensive system testing. Develop and maintain the tools and framework necessary to execute Hardware-in-the-Loop (HIL) testing, including environment simulation, real-time data injection, and automated fault insertion. Implement minimal services to facilitate data handling, instrument control, and integration between various V&V tools in a distributed physical testbed environment. Utilize Docker to containerize development, testing, and V&V environments, ensuring consistency and reproducibility across the organization. Administer and maintain Linux operating systems that host the V&V testbeds, simulation platforms, and operational tools. Configure and troubleshoot networking protocols and services (TCP/IP, UDP, etc.) to ensure reliable connectivity between test equipment, flight hardware interfaces, and data centers. Qualifications Systemic Mindset: Ability to view the flight system and its V&V testbed not as separate components, but as an integrated system, understanding dependencies, interfaces, and optimizing end-to-end performance. Python: Advanced proficiency for tool development and scripting. Strong understanding and application of Object-Oriented Programming (OOP). Linux: Experience as user, basic administration for troubleshooting in various distributions. Bash scripting for system automation and pipeline execution. Experience with Docker for containerizing environments. Minimal experience designing or interacting with REST microservice. Preferred Qualifications Experience with Observability Stacks (e.g., ELK/Influx/Grafana) for monitoring testbed health, data logging, and visualizing operational metrics. Prior experience in the validation of control software or safety-critical systems. Familiarity with data analysis libraries such as Pandas and plotting libraries like Matplotlib for analyzing sensor and performance data. Understanding of Distributed Systems architecture and challenges. Documentation Automation: Experience integrating documentation tools like Sphinx, Asciidoc or Markdown. Compensation The approximate base salary range for this position is $114,477 - $150,248. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. **Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

🏢 Summary: The offer is for a Machine Learning Systems Engineer focused on optimizing large-scale distributed training systems for frontier models. The role centers on performance profiling, GPU kernel development, and improving throughput, scalability, and reliability of ML training pipelines. It directly supports accelerating model convergence through high-performance systems engineering. 🗂️ Requirements: Bachelor’s, Master’s or PhD in Computer Science, Computer Engineering or related field, Strong proficiency in Python, Extensive hands-on experience with PyTorch, Experience with distributed training using PyTorch Distributed, Experience optimizing ML model training and inference performance, Experience with GPU kernel development in CUDA or Triton, Ability to perform performance profiling and bottleneck analysis, Strong understanding of machine learning concepts and architectures 📃 Skills: Python, PyTorch, CUDA, Triton, Nsight, PyTorchDistributed, GPU, KernelFusion, Sharding, Tiling 🏢 Description: Mission Summary:We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. What you'll be doing: Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time. Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed. Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads. Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput. What we're looking for: Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline. Software Engineering: Strong proficiency in Python. ML Frameworks: Extensive hands-on experience with PyTorch. ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes. Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range$144,000—$192,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

🏢 Summary: Opportunity for a Data Scientist to build and optimize a near real-time AI-driven intelligence platform in a highly regulated environment. The role focuses on developing scalable data pipelines, integrating and monitoring Large Language Models, and transforming unstructured data into actionable insights. You will drive automation and model performance within a cloud-based data ecosystem. 🗂️ Requirements: Expert-level Python for data processing and AI orchestration, Experience building scalable ETL/ELT pipelines, Hands-on experience with LLM frameworks and prompt engineering, Experience ingesting data from APIs, RSS feeds, and web scraping, Experience managing raw data structures in cloud data platforms, Experience deploying AI models to production environments, Knowledge of model monitoring and hallucination detection, Proficiency with version control using Git 📃 Skills: Python, ETL, ELT, LLM, NLP, APIs, RSS, WebScraping, Git, Cloud, DevOps, PromptEngineering 🏢 Description: Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together! We are looking for a skilled Data Scientist to join an innovative AI initiative for a client in a highly regulated industry. The project focuses on transforming a periodic monitoring tool into a near real-time, daily intelligence platform Key Responsibilities: Ingestion Pipeline Development: Design, build, and maintain robust data pipelines using Python and cloud-based data platforms to ingest data from diverse sources such as RSS feeds, APIs, and web scraping. Data Platform Architecture: Manage raw data structures and ensure seamless data flow between ingestion pipelines and downstream applications. LLM Integration & Optimization: Implement and refine Large Language Models (LLMs) to categorize, summarize, and extract advanced insights (“Reasoning Modelling”) from unstructured data. LLM Ops: Establish monitoring frameworks for model performance, including hallucination detection, and implement continuous improvement loops based on expert feedback. Scalability & Automation: Support the transition to a fully automated 24-hour processing cycle within the data platform ecosystem. Technical Skills & Qualifications: Programming: Expert-level Python, particularly in data processing and AI orchestration. Data Engineering: Strong experience building scalable ETL/ELT pipelines in modern data platforms. AI / NLP: Hands-on experience with LLM frameworks and prompt engineering. Web Data Ingestion: Proficiency in handling RSS feeds, APIs, and both structured and unstructured web data. DevOps / LLM Ops: Familiarity with version control (Git) and deploying AI models into production environments. Perks and benefits: Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers. Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location. Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more. Global collaboration - work with a diverse, international team. Innovative environment - be part of a forward-thinking and growth-oriented workplace. Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work. Team-building events including our company tradition (annual company event in Mazury ). A pleasant surprise to start your journey with us in the form of a welcome pack. Recruitment process: HR call Technical Interview Interview with the dedicated Client Final decision/ Feedback Sounds interesting? Click "Apply" and have a chance to hear more!

🏢 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!