Production Line Management Engineer Jobs

CAPCO POLAND * We are looking for Poland based candidate. * This role is hybrid and may require working from the office in Warsaw. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Business Analyst – Market Risk Data & AI Automation Role Overview We are seeking an experienced Business Analyst within Financial Markets Technology to support Market Risk initiatives, with primary ownership of the Data Quality Management System and associated data-lineage processes. The role will focus on re-engineering and automating manual data-quality and lineage processes using AI/GenAI tooling , while acting as the bridge between business, risk, data and technology teams. Key Responsibilities Own and maintain end-to-end data lineage across the Market Risk Platform (MRP), including source-to-target mappings, interfaces, transformations and downstream dependencies. Analyse ADO tickets, code repositories and documentation to assess change impacts and investigate data-quality issues. Work with data owners, developers and application teams to resolve lineage gaps and maintain accurate documentation. Track lineage changes throughout the delivery lifecycle and ensure documentation remains aligned with production releases. Support strategic Market Risk transformation initiatives, including FRTB, by documenting current/target-state data flows and downstream impacts. Identify and implement AI/GenAI-enabled automation , including automated lineage extraction, model/mapping generation, analysis and visualisation. Re-engineer manual data-quality and control processes to improve efficiency and reduce operational effort. Maintain governance and lineage evidence supporting BCBS239 , audits and data-owner atte

MongoDB’s Employer Brand team owns how MongoDB is viewed as an employer and helps attract the talent needed to support our growth. We turn MongoDB’s strategy, EVP and employee experience into clear, credible stories and experiences across the candidate journey. As an Employer Brand Analyst, you will support the delivery of our India Employer Brand strategy during a period of significant hiring growth. This is a hands-on individual contributor role focused on content creation, particularly video, and strong project execution. You will create, film and edit content, coordinate across teams and help prioritise activity against the most important hiring needs. This position is a 12 month fixed term contract. You do not need an Employer Brand background, but strong content creation skills are essential. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Create content across video, social and digital channels, including employee stories, short-form videos and campaign assets Own video production from concept through delivery, including planning, filming and editing Support Employer Brand campaigns across digital media, social, employee advocacy, PR and influencer activity Coordinate projects across Recruiting, Social, Comms & PR, agencies, employees and technical leaders, managing timelines, reviews and approvals Partner with Recruiting to prioritise activity based on changing hiring needs and the talent audiences where Employer Brand can have the greatest impact Manage multiple priorities at once and adapt quickly as business and hiring priorities change Support third-party employer profiles, awards activity and local internal communications Qualifications 2+ years of experience in content creation, social media, digital marketing, employer branding or a related field Hands-on video production experience, including filming and editing Experience using video editing tools such as Adobe Premiere Pro, Fi

About the team The Applied AI Engineering (Codex) team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Lead Manufacturing Engineer, Tooling Design, you'll be Mach's go-to expert on two things: how we design tooling, and how parts are designed so automation can handle, locate and assemble them. You'll push the field forward through research and development (R&D) on new materials, hardware and processes. You'll design experiments, build test articles, partner with suppliers and move what works into production. This is a hands-on technical leadership role with direct reports. Key Responsibilities Own the Tooling and Design-for-Automation guide Write, publish and maintain Mach's Tooling and Design-for-Automation guide. It should cover: design rules, with the reasoning and test data behind them preferred tooling components, materials and automation approaches standard locating features and tolerances worked examples and review checklists Write tooling standards: datum and locating strategy, modular fixture components, clamping, materials and documentation. Write design-for-automation rules for parts: gripping and locating features, part presentation and feeder compatibility, robot and tool access Set metrology and tooling verification standards (laser tracker, CMM, vision), and oversee checking fixtures and gauges. Define the DFMA sign-off crit

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Lead Manufacturing Engineer, Joining, you'll be Mach's go-to expert on how our vehicles are held together: when to bolt, rivet, bond, or combine methods. You'll own torque tooling and adhesive dispense standards in Mach's prototype factory. That means selecting, buying and deploying the tools our technicians use to build every vehicle, and making sure each joint is tightened right, every torque curve is reported, and every bead of adhesive meets profile inspection criteria. You'll push the field forward through research and development (R&D) on new materials, hardware and processes; from designing experiments, to building test articles, partnering with suppliers and moving what works into production. This is a hands-on technical leadership role with direct reports. This role will work closely with Design Engineering, Vehicle Assembly ME, Prototype Factory operations, Quality, Supply Chain and Production to achieve overall production ramp goals across Mach’s factories. Key Responsibilities Own the Joining DFMA guide Write, publish and maintain Mach's Joining DFMA guide. It should cover: design rules, with the reasoning and test data behind them preferred fasteners, adhesives and joining processes standard joint features and tolerance

Our team is seeking to extend the internship of our current AI Research Intern for the TAO (Train, Adapt, Optimize) Multi-Modal Model Development project, recognizing their exceptional performance and strong alignment with the team’s research goals. Their innovative ideas and technical contributions have significantly enhanced our work. Given the rapidly evolving field of multi-modal AI, encompassing vision-language modeling, universal segmentation, and large-scale model training, extending this internship will provide further growth opportunities for the intern while strengthening our team’s capacity to develop scalable, high-impact AI solutions. Embark on an exciting journey with NVIDIA, a global leader in AI and accelerated computing. As an AI Research Intern focusing on multi-modal AI and vision-language model development within the TAO framework in Hanoi/HCM City, Vietnam, you will be at the forefront of advancing cutting-edge machine learning research. You’ll collaborate with a talented team of engineers and researchers dedicated to developing state-of-the-art deep learning models for tasks such as image segmentation, cross-modal understanding, and universal representation learning. This internship offers a unique opportunity to contribute to next-generation AI systems with real-world impact across industries—from autonomous vehicles to intelligent content understanding. What you'll be doing: Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks. Contribute to the design and implementation of vision-language models (VLMs) and universal segmentation systems. Conduct experiments and benchmarking to evaluate model accuracy, robustness, and scalability. Collaborate with cross-functional teams to integrate your research into production-le

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Knowledge Graph Platform team builds the foundational systems that help Reddit understand entities, relationships, and context across its content. We are evolving an advanced, AI-powered knowledge graph into a reliable, scalable platform that enables teams across Reddit to build better experiences on top of shared, high-quality knowledge. This is a high-leverage team at the intersection of data, platform engineering, and AI. Our work supports emerging capabilities such as contextual grounding while creating the contracts, standards, and developer experience that make shared data dependable and easy to use. This team is strategically positioned to impact both ads and consumer roadmaps. Our data is used across ads marketplace models as well as user-facing features on reddit.com . What You’ll Do: Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform; create a high-trust, high-performing environment with clear goals and strong technical ownership. Set the technical direction and roadmap for a scalable knowledge graph platform, including data and API contracts, service interfaces, reliability, observability, performance, and developer experience. Leverage SOTA LLM and agentic patterns for knowledge graph construction. Establish production-grade operating standards: defining SLOs, implementing quality measures of data within the knowledge graph, governance mechanisms, and safe change-management practices. Partner with engineering, computational linguists, and domain-expe

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Software Engineer to build and evolve Webflow Cloud, helping builders and marketing practitioners build, deploy, and run full-stack web applications with the assistance of cloud based AI agents. About the role: Location: Remote-first (Argentina) Permanent, full-time employee (this is not a contractor position) Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for an existing vacancy Reporting to the Senior Engineering Manager, Cloud As a Senior Software Engineer, Cloud, you'll … Build and operate reliable cloud services on AWS and Cloudflare, drawing on experience with compute, storage, networking, and managed infrastructure. Evolve the infrastructure that powers web applications and AI agents on Webflow Cloud. Participate in the team’s on-call rotation, investigate production incidents, and drive improvements that prevent recurring issues. Utilize CDN and edge compute capabilities that help customers deliver fast, resilient websites and applications around the world. Own features from customer problem through design, implementation, rollout, and ongoing improvement. Use AI-assisted development practices to accelerate delivery while applying sound engineering judgment, rigorous validation, and clear accountability for code quality. Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams. About you: BA/BS Degree or equivalent experience 5+ years building and operating backend services in production Demonstrated experience in backe

Producer (Senior) - Hipster Whale About Us At Hipster Whale, we're passionate about creating bright and funny arcade action games that appeal to broad audiences - games that players will continue to enjoy for years to come! We’re looking for an experienced Senior Producer to join our team in a permanent, ongoing role.This is a highly collaborative role for someone who brings clarity, focus and momentum to game development. You’ll work across multiple projects and disciplines, helping teams plan effectively, make informed decisions, manage risks and deliver high-quality games on time and within scope. About the Role You’ll support both new development and live-ops releases across several mobile titles, partnering with a variety of disciplines, platform partners and other stakeholders. You’ll manage schedules and dependencies, keep communication flowing, and help teams stay motivated and focused on shared goals. The ideal candidate has experience successfully shipping commercial games, strong knowledge of production practices and Agile development, and the communication skills to work confidently with people at every level of an organisation. This is a full-time, ongoing position. We’re ideally looking for someone based in Melbourne and available to start as soon as possible. Applicants based in Australia must hold appropriate Australian working rights. Hipster Whale supports a hybrid working arrangement, with a minimum of two days per week in our Melbourne studio — currently Mondays and Thursdays. We also support flexibility to accommodate individual needs wherever possible. We’re proud to foster an inclusive and welcoming work environment. We encourage applications from people of all backgrounds, identities and perspectives. What You'll Do Own production across multiple projects, including new development and live-ops releases. Create and maintain project plans and release roadmaps, ensuring priorities, milestones, dependencies and k

Who we are About the team The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products like defenses against AI token theft, free trial abuse, and programmatic attacks. What you'll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities Design, build, train, evaluate, deploy, and own ML models in production that detect fraud across Stripe’s global payments network Design and build large-scale ML systems that operate on diverse and large scale data Experiment and iterate on ML models to achieve key business goals around data quality and accuracy Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliability Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions Mentor engineers and contribute to a strong ML engineering culture within the team Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are enco

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking an experienced and hands-on Asset Maintenance Lead to lead the maintenance, reliability, and uptime of critical manufacturing equipment across our operations. This role will have a strong focus on CNC machining equipment and advanced manufacturing assets, including equipment from manufacturers such as DMG MORI, Haas, Mazak, Okuma, DN Solutions/Doosan, and similar OEMs. The Asset Maintenance Lead will be responsible for developing and executing preventive and corrective maintenance programs, troubleshooting equipment failures, coordinating OEM and third-party service providers, managing spare parts, and improving overall equipment reliability. This is a highly hands-on position. The ideal candidate is comfortable working directly on manufacturing equipment, diagnosing mechanical and electrical issues, and partnering closely with Manufacturing, Engineering, Facilities, EHS, and Operations to keep production assets safe, reliable, and available. Key Responsibilities CNC & Manufacturing Equipment Maintenance Lead preventive, predictive, and corrective maintenance activities for CNC machines and other critical manufacturing equipment. Troubleshoot complex mechanical, electrical, pneumatic, hydraulic, lubrication, coolin

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery. What you'll do Use Claude Code, GitLab Duo, and other coding agents as your primary development e

Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About The Team The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability. We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day. What You'll Do As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default. You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you'll build those too. This is a role for someone who wants to work at the in