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: Remote Software Engineer role focused on building AI-powered data products and backend services for the logistics domain. The position involves integrating AI/ML models into production, developing AI-driven features such as chatbots and recommendation engines, and orchestrating AI pipelines. You will work with TypeScript/JavaScript, Node.js, and Python to deliver scalable, intelligent solutions. 🗂️ Requirements: 3–4 years of experience with TypeScript/JavaScript, Proven commercial experience with Node.js, Professional experience with Python, Hands-on experience integrating AI/ML models into production systems, Experience building backend services consuming AI outputs, Experience orchestrating AI pipelines, Experience designing chatbots or recommendation engines, Experience integrating LLMs into applications, Upper-Intermediate English level 📃 Skills: TypeScript, JavaScript, Node.js, Python, AI, ML, LLMs, React, Backend, APIs, Chatbots, Recommendation, Pipelines 🏢 Description: Are you passionate about building intelligent systems that transform industries? We are looking for a Software Engineer to join our team and work on cutting-edge AI-powered solutions in the logistics domain. This is a remote position, offering flexibility and the opportunity to collaborate with international teams. We at Sigma Software value innovation, quality, and teamwork, and provide our specialists with challenging projects and professional growth opportunities. Why join us? You will work on impactful AI-driven products, gain exposure to advanced technologies, and be part of a company that supports continuous learning and career development. Customer Our customer is one of Europe’s leading logistics providers, headquartered in Germany. They specialize in developing and implementing integrated supply chain systems, leveraging advanced data analytics to optimize logistics operations. Recognized for innovation and efficiency, they deliver solutions that enhance operational performance across diverse industries. Project The project focuses on developing advanced data products, including an AI assistant capable of performing analysis and providing insights based on user queries. The team is also building tools to support the client’s internal processes, integrating AI/ML models into production systems, and designing AI-powered features such as chatbots and recommendation engines. Requirements 3–4 years of development experience with TypeScript/JavaScript technology stack Proven experience with Node.js Experience with Python Hands-on experience integrating AI/ML models into production systems Experience building backend services that consume AI outputs and orchestrate AI pipelines Experience designing AI-powered features such as chatbots or recommendation engines Familiarity with integrating LLMs into applications Strong communication and multitasking skills Strong problem-solving and decision-making abilities with a focus on results Upper-Intermediate level of English WILL BE A PLUS: Experience with React Personal Profile Motivated, self-driven, and positive individual Strong communication skills Ability to multitask and manage priorities effectively Skilled in solving complex problems under tight deadlines Passionate about leveraging technology to deliver impactful results Responsibilities Design, develop, and maintain backend services using TypeScript/JavaScript and Node.js Integrate AI/ML models into production environments to support business processes Build and orchestrate AI pipelines that consume model outputs and deliver actionable insights Develop AI-powered features such as chatbots and recommendation engines Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into applications Participate in architectural discussions and contribute to solution design Ensure high-quality code through testing, reviews, and adherence to best practices Communicate effectively with stakeholders and team members to align on requirements and deliverables

🏢 Summary: Backend Python engineering role focused on building and extending enterprise MFA and authentication services in the cybersecurity domain. The position involves developing connectors for LDAP, RADIUS, and identity platforms, exporting security logs to SIEM systems, and improving scalability, reliability, and observability of backend services. This is a pure backend role working with secure networking, identity infrastructure, and CI/CD automation. 🗂️ Requirements: Minimum 3 years commercial experience in backend development with Python, Practical knowledge of secure backend development, Understanding of authentication, identity, or secure networking concepts, Experience or strong familiarity with LDAP and/or RADIUS, Ability to design reliable backend services for enterprise environments, Knowledge of Linux services and backend deployment, Experience with automated testing and code review practices, Working knowledge of CI/CD concepts, preferably GitHub-based, Ability to independently analyze technical problems and propose solutions 📃 Skills: Python, LDAP, RADIUS, RadSec, ActiveDirectory, EntraID, Linux, WindowsServer, SIEM, CEF, Syslog, JSON, x509, TLS, GitHub, CICD, Networking, Security 🏢 Description: Join Rublon and work with a team of cybersecurity enthusiasts building the future of enterprise user authentication. Rublon MFA is a multi-factor authentication platform used by hundreds of customers around the world to protect employee logins to networks, servers, and applications. We build backend technology for secure authentication, identity infrastructure, and enterprise cybersecurity integrations. We are looking for a Regular or Senior Python Software Engineer who wants to work long-term on backend systems in the cybersecurity space. What You’ll Work On You will help develop backend technology that extends Rublon MFA into enterprise IT environments. Your work will focus on building and improving cybersecurity connectors and authentication services, including: Connectors that enable MFA for authentication protocols such as LDAP and RADIUS Components that integrate Rublon MFA with enterprise identity infrastructure, including Active Directory and enterprise cloud identity solutions such as Microsoft Entra ID Services that export authentication and security logs from Rublon MFA to external systems, including SIEM platforms Backend tools that improve scalability, reliability, observability, and secure operation of Rublon services CI/CD pipelines and automation that support secure, maintainable software delivery This is a pure backend engineering role . No frontend development experience is required. How You’ll Work Location: 100% remote or from our office in Kraków or Zielona Góra, Poland Technology stack: Python 3, Linux services, Windows Server services, LDAP, RADIUS, RadSec, Active Directory, Microsoft Entra ID, x.509 certificates, SIEM integrations, GitHub CI/CD, Inno Setup Self-development: access to online training courses and sponsored certifications Benefits: private medical care and MultiSport card What You’ll Do As a Python Software Engineer at Rublon, you will: Develop and extend backend cybersecurity services written in Python Build and maintain authentication-related connectors for LDAP, RADIUS, RadSec, and related protocols Work with enterprise identity and access technologies such as Active Directory and LDAP Design integrations that allow Rublon MFA logs to be exported to SIEM systems Work with security log formats such as CEF, Syslog, and JSON Improve the performance, scalability, and reliability of backend authentication services Implement observability improvements, including structured logging, monitoring, metrics, and diagnostics Develop services for Linux and Windows Server environments Design secure, maintainable software with attention to authentication, authorization, networking, and operational security Build and maintain CI/CD pipelines using GitHub Collaborate with engineers on architecture, design, implementation, testing, and code reviews Skills You Have At least 3 years of commercial experience developing backend software in Python Practical understanding of secure backend development Knowledge of authentication, identity, or secure networking concepts Experience or strong familiarity with LDAP and/or RADIUS Ability to design reliable backend services that operate in enterprise environments Understanding of Linux services and backend application deployment Experience with automated testing, code review, and maintainable software engineering practices Working knowledge of CI/CD concepts, preferably with GitHub-based pipelines Interest in cybersecurity, secure software design, and enterprise authentication systems Ability to analyze technical problems independently and propose robust engineering solutions Nice To Have Experience with any of the following will be a strong advantage: Another backend programming language, especially C++, Rust, or Go Active Directory Enterprise cloud identity solutions such as Microsoft Entra ID LDAP security and directory integrations RADIUS and RadSec x.509 certificates, TLS, and certificate-based trust models SIEM systems and security log export SIEM log formats such as CEF, Syslog, and JSON Development of server-side software for Linux and Windows Server Software application security Secure networking concepts GitHub Actions or similar CI/CD systems Formal education in Information Security, Cybersecurity, Computer Science, or a related field, or equivalent demonstrated professional experience Why Apply This role may be a strong fit if: You want to build backend technology in the cybersecurity space You are interested in enterprise authentication, MFA, identity systems, and secure networking You enjoy developing reliable services that run in real customer environments You want to work on integrations with protocols and systems such as LDAP, RADIUS, Active Directory, RadSec, x.509, and SIEM platforms You prefer backend engineering and do not want a frontend-focused role You value secure coding practices, automation, observability, and long-term maintainability You want to grow professionally in cybersecurity and backend software engineering Steps After You Apply You’ll be invited to an online meeting with our recruiter Afterwards, we’ll ask you to complete a small assignment, which will then be discussed with one of our technical leads If everything goes well, we will make you an offer and invite you to a final interview

🏢 Summary: Backend engineering role focused on developing and extending Python-based cybersecurity services for enterprise MFA integrations. The position involves building authentication connectors (LDAP, RADIUS, RadSec), integrating with identity systems like Active Directory and Microsoft Entra ID, and exporting security logs to SIEM platforms. This is a pure backend role with emphasis on secure design, scalability, observability, and CI/CD automation. 🗂️ Requirements: Minimum 3 years commercial experience in Python backend development, Practical knowledge of secure backend development, Understanding of authentication, identity, or secure networking concepts, Experience or strong familiarity with LDAP and/or RADIUS, Ability to design reliable backend services for enterprise environments, Knowledge of Linux services and backend deployment, Experience with automated testing and code review practices, Working knowledge of CI/CD concepts, preferably GitHub-based, Ability to independently analyze technical problems and propose solutions 📃 Skills: Python, LDAP, RADIUS, RadSec, ActiveDirectory, MicrosoftEntraID, Linux, WindowsServer, SIEM, CEF, Syslog, JSON, x.509, TLS, GitHub, CI/CD, InnoSetup 🏢 Description: Join Rublon and work with a team of cybersecurity enthusiasts building the future of enterprise user authentication. Rublon MFA is a multi-factor authentication platform used by hundreds of customers around the world to protect employee logins to networks, servers, and applications. We build backend technology for secure authentication, identity infrastructure, and enterprise cybersecurity integrations. We are looking for a Regular or Senior Python Software Engineer who wants to work long-term on backend systems in the cybersecurity space. What You’ll Work On You will help develop backend technology that extends Rublon MFA into enterprise IT environments. Your work will focus on building and improving cybersecurity connectors and authentication services, including: Connectors that enable MFA for authentication protocols such as LDAP and RADIUS Components that integrate Rublon MFA with enterprise identity infrastructure, including Active Directory and enterprise cloud identity solutions such as Microsoft Entra ID Services that export authentication and security logs from Rublon MFA to external systems, including SIEM platforms Backend tools that improve scalability, reliability, observability, and secure operation of Rublon services CI/CD pipelines and automation that support secure, maintainable software delivery This is a pure backend engineering role . No frontend development experience is required. How You’ll Work Location: 100% remote or from our office in Kraków or Zielona Góra, Poland Technology stack: Python 3, Linux services, Windows Server services, LDAP, RADIUS, RadSec, Active Directory, Microsoft Entra ID, x.509 certificates, SIEM integrations, GitHub CI/CD, Inno Setup Self-development: access to online training courses and sponsored certifications Benefits: private medical care and MultiSport card What You’ll Do As a Python Software Engineer at Rublon, you will: Develop and extend backend cybersecurity services written in Python Build and maintain authentication-related connectors for LDAP, RADIUS, RadSec, and related protocols Work with enterprise identity and access technologies such as Active Directory and LDAP Design integrations that allow Rublon MFA logs to be exported to SIEM systems Work with security log formats such as CEF, Syslog, and JSON Improve the performance, scalability, and reliability of backend authentication services Implement observability improvements, including structured logging, monitoring, metrics, and diagnostics Develop services for Linux and Windows Server environments Design secure, maintainable software with attention to authentication, authorization, networking, and operational security Build and maintain CI/CD pipelines using GitHub Collaborate with engineers on architecture, design, implementation, testing, and code reviews Skills You Have At least 3 years of commercial experience developing backend software in Python Practical understanding of secure backend development Knowledge of authentication, identity, or secure networking concepts Experience or strong familiarity with LDAP and/or RADIUS Ability to design reliable backend services that operate in enterprise environments Understanding of Linux services and backend application deployment Experience with automated testing, code review, and maintainable software engineering practices Working knowledge of CI/CD concepts, preferably with GitHub-based pipelines Interest in cybersecurity, secure software design, and enterprise authentication systems Ability to analyze technical problems independently and propose robust engineering solutions Nice To Have Experience with any of the following will be a strong advantage: Another backend programming language, especially C++, Rust, or Go Active Directory Enterprise cloud identity solutions such as Microsoft Entra ID LDAP security and directory integrations RADIUS and RadSec x.509 certificates, TLS, and certificate-based trust models SIEM systems and security log export SIEM log formats such as CEF, Syslog, and JSON Development of server-side software for Linux and Windows Server Software application security Secure networking concepts GitHub Actions or similar CI/CD systems Formal education in Information Security, Cybersecurity, Computer Science, or a related field, or equivalent demonstrated professional experience Why Apply This role may be a strong fit if: You want to build backend technology in the cybersecurity space You are interested in enterprise authentication, MFA, identity systems, and secure networking You enjoy developing reliable services that run in real customer environments You want to work on integrations with protocols and systems such as LDAP, RADIUS, Active Directory, RadSec, x.509, and SIEM platforms You prefer backend engineering and do not want a frontend-focused role You value secure coding practices, automation, observability, and long-term maintainability You want to grow professionally in cybersecurity and backend software engineering Steps After You Apply You’ll be invited to an online meeting with our recruiter Afterwards, we’ll ask you to complete a small assignment, which will then be discussed with one of our technical leads If everything goes well, we will make you an offer and invite you to a final interview

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: Lead Applications Engineer role serving as the primary technical interface for semiconductor equipment customers, translating complex fabrication system requirements into manufacturable hardware solutions. The position drives deep technical engagements across wafer handling, vacuum systems, thermal management, and precision components, guiding applications from feasibility through production. The role shapes deployment of advanced manufacturing technology within high-performance semiconductor environments. 🗂️ Requirements: Bachelor’s degree in Engineering or related technical field, 5+ years experience in semiconductor equipment or fabrication industry, Strong systems-level understanding of complex mechanical hardware, Experience with semiconductor fabrication systems and equipment, Ability to lead technical discussions on manufacturability, materials, tolerances, and production constraints, Experience translating system requirements into manufacturable designs 📃 Skills: Semiconductor, Fabrication, Mechanical, Systems, UHV, Thermal, Robotics, Lithography, Optics, Manufacturing, Additive, Casting, Forging, Machining, DFM 🏢 Description: LEAD APPLICATIONS ENGINEER (SEMICONDUCTOR MACHINERY) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. Freeform is hiring a Lead Applications Engineer to serve as the primary technical interface between Freeform and a portfolio of our semiconductor customers. This person will apply their technical background and intimate understanding of semiconductor fabrication systems and equipment to translate real engineering problems into manufacturable solutions that only Freeform's technology can unlock. You will own the technical relationship with customers, guide them through application discovery and feasibility, and help shape how Freeform's manufacturing platform is deployed across some of the most ambitious programs in the industry. The ideal candidate comes from a strong engineering background, understands complex semiconductor systems, and is comfortable engaging directly with senior engineers and decision makers at highly sophisticated and cutting-edge organizations. This person should be comfortable leading deep technical discussions across performance, manufacturability, materials, qualification, and production tradeoffs, and translating those conversations into a broader, programmatic vision that helps customers understand how Freeform's technology can unlock entirely new design and production possibilities. Responsibilities: Serve as the primary technical point of contact for a portfolio of strategic semiconductor equipment customers Lead deep technical discussions with customer engineering teams across applications such as: Wafer handling, robotic end-effectors, and vacuum-compatible armatures Thermal management hardware and high-precision cold plates Ultra-high vacuum (UHV) chambers and internal components Gas delivery manifolds and high-purity fluid systems Lithography tool structural components and precision optics mounts Pedestals and showerhead assemblies for deposition tools Develop a deep understanding of customer system requirements, constraints, and performance drivers Translate customer needs into manufacturable solutions using Freeform's technology, including geometry, materials, tolerances, and production considerations Clearly articulate what Freeform's manufacturing platform can and cannot deliver, including tradeoffs and constraints Independently answer advanced technical questions related to materials, processes, qualification pathways, and production scalability Identify where Freeform's technology enables new designs, architectures, or performance regimes that were previously impractical or impossible Work closely with internal engineering and operations teams to align on feasibility, execution, and roadmap - but without depending on them for basic technical credibility Guide customers through early application exploration, development phases, and transition into production Build long-term, trust-based technical relationships with customer engineers, program managers, and technical leadership Provide feedback from the field to influence Freeform's product, process, and roadmap decisions Basic Qualifications: Bachelor's degree in engineering or similar technical discipline 5+ years of experience in an engineering, program management, or leadership role within the semiconductor equipment/fabrication industry Strong systems-level understanding of complex mechanical hardware and how components function within larger assemblies Nice to Have: Prior experience in a customer-facing technical role such as applications engineering, systems engineering, or field engineering Ability to clearly communicate complex technical concepts to both engineering and non-engineering stakeholders Familiarity with metal manufacturing processes, including additive manufacturing, casting, forging, or advanced machining Experience supporting hardware through development, qualification, and production ramp Strong intuition for design-for-manufacturing and production scalability Strategic thinker with a strong business acumen Team player, positive attitude, growth mindset, integrity, accountability, adaptability, entrepreneurial, driven, results-oriented and ethical Location: Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions. What We Offer: We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. Benefits Significant stock option packages 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) Life insurance Traditional and Roth 401(k) Relocation assistance provided Paid vacation, sick leave, and company holidays Generous Paid Parental Leave and extended transition back to work for the birthing parent Free daily catered lunch and dinner, and fully stocked kitchenette Casual dress, flexible work hours, and regular catered team building events Compensation As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role. In addition to the significant stock option package, the estimated salary range for this role is $120,000-$185,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact. Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

🏢 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: Mid-level Manufacturing Software Engineer role focused on building distributed systems that connect production equipment to MES and enterprise platforms. The position involves developing high-concurrency Go microservices, integrating ERP/PLM systems, and implementing industrial data acquisition via OPC-UA and related protocols. The role supports real-time manufacturing operations and event-driven data pipelines in a production environment. 🗂️ Requirements: 2–3 years professional backend/systems software engineering experience, Strong distributed systems fundamentals (concurrency, consistency, idempotency, fault tolerance), Experience designing and operating production microservice architectures, Proficiency in Go or strong systems-language background with ability to deliver in Go, Experience engineering high-concurrency, high-performance systems, Hands-on manufacturing or shop floor software experience, ERP and/or PLM systems integration experience (e.g., SAP, Oracle, NetSuite, Dynamics, Teamcenter, Windchill, Arena), Working knowledge of SCADA/MES concepts and industrial communication protocols (especially OPC-UA), Ability to work on-site in Burlingame, CA 📃 Skills: Go, OPC-UA, SCADA, MES, ERP, PLM, SAP, Oracle, NetSuite, Dynamics, Teamcenter, Windchill, Arena, Kafka, Kinesis, NATS, AWS, Kubernetes, EKS, Modbus, MQTT, PLC 🏢 Description: Job Title: Manufacturing Software Engineer Location: Burlingame, CA Department: Manufacturing Engineering Reports To: Software Engineering Manager Position Type: Full-time About the Role - Manufacturing Software Engineer We're hiring a mid-level software engineer to build the distributed systems that connect our production equipment to MES and our enterprise stack. You'll work on the SCADA/equipment-integration layer — acquiring data over OPC-UA and other industrial protocols, normalizing it, and delivering it reliably into MES under real-world floor conditions — as well as the microservices that integrate our ERP and PLM systems. This is a hands-on engineering role on a small team. You'll design and implement services, care about concurrency and performance, and stand behind your code on a live production floor. You'll work closely with senior engineers who own the broader architecture, contributing strong distributed-systems engineering to it. What You'll Do (Responsibilities) Build Go services in a microservice architecture that acquire equipment data (OPC-UA and other industrial protocols), normalize it, and publish it to MES and downstream consumers Engineer for high concurrency and high throughput — many stations and signals streaming simultaneously, with low-latency, backpressure-aware processing Build and maintain the ERP/PLM integration microservices that sync work orders, BOMs, routings, part/revision data, and as-built/genealogy records between the floor and enterprise systems Build event-driven data pipelines feeding a cloud data lake for production and quality analytics Add observability — metrics, tracing, alerting — so service health and equipment connectivity are visible, not silent Contribute to internal tooling and dashboards that surface production and quality data What You'll Bring (Qualifications) 2–3 years of professional software engineering experience building production backend / systems software Strong distributed systems fundamentals — concurrency, consistency models, idempotency, message delivery semantics, fault tolerance Experience designing and operating microservice architectures in production Proficiency in Go (or a strong systems-language background with demonstrated ability to ship in Go) Comfortable engineering for high concurrency and high performance — profiling, contention, throughput/latency trade-offs Hands-on manufacturing / shop floor software experience — you've worked on or adjacent to production lines ERP and/or PLM background — you've integrated with systems like SAP, Oracle, NetSuite, Dynamics, Teamcenter, Windchill, Arena, etc. Working knowledge of SCADA / MES concepts and industrial communication, especially OPC-UA (Modbus, MQTT, PLC interfaces a plus) Self-directed, communicative, and effective in a fast-moving startup environment Able to work on-site in Burlingame, CA Preferred Qualifications Direct experience with OPC-UA client/server implementations and industrial data acquisition at scale Experience with event streaming infrastructure (Kafka, Kinesis, NATS, etc.) and time-series data Experience building or operating a data lake / lakehouse and modern ELT pipelines Familiarity with traceability/genealogy systems in a quality-driven manufacturing context AWS / Kubernetes (EKS) operational experience Background in batteries, energy storage, or other hardware-adjacent manufacturing Compensation & Benefits The salary range for this role is $130,000-$180,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes: Flexible time off Comprehensive medical, dental, and vision coverage Strong 401(k) plan Equity opportunities Many great work perks