Production Line Management Engineer Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities. What You'll Do Supplier qualification and readiness Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release. Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building an open future for AI compute. We build RISC-V CPUs, Tensor AI processors, and open-source software that help unlock the next generation of AI innovation. As Cloud Sales Director, you will build the go-to-market motion for neoclouds, serverless inference providers, model-as-a-service platforms, edge networks, and capacity aggregators. You will own this segment from the first customer conversation through production deployment and revenue growth. This is a zero-to-one opportunity with a direct connection to Product, Engineering, Field Applications, and Marketing, and the ability to shape how Tenstorrent reaches a fast-changing cloud market. This role is hybrid, based out of Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced enterprise cloud seller with a record of building pipeline, developing account strategies, and closing complex opportunities against strategic sales goals. Deeply familiar with neoclouds, cloud consumption models, capacity commitments, and the business drivers shaping AI infrastructure adoption. Technically fluent across modern AI and cloud workloads, including training,

The worldwide data management software market is massive. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB is seeking a Software Engineer 3 to join the Atlas Clusters Platform team. The team is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Clusters Platform team develops the foundational orchestration platform behind MongoDB Atlas. Our systems drive cluster planning and execution, evolve the Atlas control plane toward service-oriented architecture, and provide critical infrastructure that help Atlas run safely and efficiently across cloud environments. We are looking to speak to candidates who are based in New York City for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work closely with product and design teams, considering the user’s perspective while building technical solutions Work with customers and support engineers to fix issues Collaborate with team members to develop our codebase, best practices, and design principles Learn from and mentor other team members We’re looking for someone who Has at least 3 years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Is comfortable working across the stack of a modern web application (e.g. React, TypeScript, Kubernetes) Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new feature and maintained it in production Is eager to solve tough problems Has excellent

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the Developer Expe

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. In this role, you will: Build and ship features for North, our AI workspace platform Develop autonomous agents that talk to sensitive enterprise data Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms As security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or tooling Collaborate with researchers to productionize state-of-the-art models and techniques You may be a good fit if: Have shipped (lots of) fullstack code (Python and React) in production You excel in fast-paced environments and can execute while priorities and objectives are a moving target You’ve worked in both large enterprises and st

ABOUT THE UI DESIGNER ROLE: WIN is looking for a talented UI Designers to create modern, intuitive, and visually compelling digital experiences across our web and mobile products. You will work closely with Marketing, UX, Product, and Engineering teams to transform concepts, user flows, and product requirements into polished, functional interfaces. We are looking for someone who combines strong visual design fundamentals with curiosity and speed. You should enjoy experimenting with new ideas, embracing emerging design technologies, and using AI-powered tools to explore design directions, generate references, rapidly prototype concepts, and iterate faster. As we continue to build AI-enabled products and experiences, you will play an important role in defining how those experiences look, feel, and come to life for our users. KEY RESPONSIBILITIES: Design intuitive, visually compelling, and high-quality user interfaces for web and mobile products. Translate UX wireframes, user flows, product requirements, and concepts into polished UI designs and interactive prototypes. Create UI mockups, layouts, components, visual concepts, and prototypes that clearly communicate the intended product experience. Use AI-powered tools to generate design references, explore multiple creative directions, rapidly prototype ideas, and accelerate design iterations. Collaborate closely with UX Designers, Product Managers, and Engineers to take ideas from concept to production. Build and evolve reusable components, design systems, visual guidelines, and UI patterns to ensure consistency across products. Apply strong visual design principles across typography, hierarchy, spacing, color, imagery, and interaction states. Iterate rapidly based on product feedback, user insights, data, and technical considerations. Stay curious about emerging UI trends, AI tools, design technologies, and interaction patterns, and identify opportunities to incorporate them into our products. Maintain high standards

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a Machine Learning engineer! As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development. At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. What success looks like Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation. Select, implement, and develop the most appropriate method for each problem, knowing when

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic is looking for a Lead Salesforce Engineer who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow using tools like Cursor, Claude Code, or Codex across the entire stack. Adaptable and deeply curious, you will dive into platforms like Salesforce and MuleSoft while holding an end-to-end ownership mindset to elevate engineering practices and turn ambiguous business challenges into high-quality, reliable production solutions. In this role, success goes beyond ticket counts; you will streamline critical revenue processes, scale platform architecture, and leverage AI to build smart automations that eliminate manual work, serving as a key technical partner driving meaningful business impact. What You Will Be Doing Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations — with a strong bias for clean, maintainable, well-tested code. Build modern frontend experiences (component-based UI, responsive design) and robust backend services and APIs, applying solid object-oriented and software design principles. Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar — throughout the SDLC: scaffolding, refactoring, test generation, debugging, and code review, while maintaining engineering rigo

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

Location Qualifications : Ghent (hybrid 2x week in office) or Bucharest (hybrid 2x week in office) About the position As a Backend Engineer in one of our AI-focused teams, you will help build intelligent, AI-powered features that enhance how sales teams work. You’ll develop and maintain serverless, event-driven systems and APIs that integrate with third-party services. Working closely with senior engineers, you’ll take ownership of well-scoped features and contribute to technical and product discussions, helping design solutions that use modern AI capabilities to deliver real value to users. Rather than a monolithic environment, you’ll work within an ecosystem of services and help improve their reliability and quality. Your work will shape the end-user experience for all our customers. Key Responsibilities Build AI-powered features that use large language models to automate and enhance user workflows. Contribute to improving our development processes and environments. Build and maintain integrations with third-party platforms and APIs. Help implement and maintain our growing ecosystem of microservices . Work in teams where code reviews and pair programming are part of our strong engineering culture, learning from experienced engineers and sharing what you know. Apply a security-first approach to the features and changes you deliver. Grow your technical and architectural skills through mentoring from senior engineers, and support more junior colleagues where you can. Keep the bigger picture in mind, because your work will reach 100,000 users globally. Are you our next Backend Engineer? Must haves 3+ years developing production-ready backend systems. Solid proficiency in TypeScript and Node.js . Experience with JVM languages is a plus. Interest in or early experience with AI/LLM integration and p rompt engineering . Working knowledge of event-driven systems (message queues, asynchronous workflows). Experience with serverless architectures and state

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is seeking a Senior Software Engineer to join the Enterprise Build team: the small, high-leverage team that turns the company's best AI-built prototypes into true enterprise-grade services. Robinhood has gone all-in on an AI-accelerated workforce: every week, Hoodies across Finance, HR, Legal, Compliance, and beyond use sanctioned AI tools to build working prototypes of the tools they wish they had. The best of those ideas deserve to become real software. That is this team's entire job, and yours. The team is built on the premise that AI multiplies what a senior engineer can own: agents do the first pass of assessment, porting, and scaffolding; you review, harden, and decide. The work is a distinctive loop. A prototype earns real usage in our experimental sandbox and arrives through a single front door. You assess it, decide what survives, often the idea and the workflow, rarely the code, and rebuild it as an enterprise-grade, production-spec service that meets our full engineering standards: SSO, audit logging, secrets management, CI/CD, infrastructure as code, and security review, baked in from the first commit. While you build, you work directl

Job Title: Textile Designer Location Jaipur, Rajasthan Job Type Full Time, Work from Office Job Description: We are looking for a creative and detail - oriented Textile Designer to join our design team. They should have a strong understanding of surface design, print development, and fabric construction, with a passion for blending tradition with contemporary aesthetics. You will play a key role in translating brand narratives into distinctive textile artworks that celebrate craftsmanship and culture. Key Responsibilities: • Conceptualize and develop original textile designs, including prints, embroideries, and surface embellishments aligned with the brand’s design language. • Research and draw inspiration from cultural references, artisanal crafts, and global fashion trends to inform design direction. • Create detailed print artworks, color palettes, and fabric mood boards for seasonal collections. • Work closely with the fashion design team to develop textiles that enhance silhouettes and storytelling. • Liaise with printers, dyers, and artisans to ensure accuracy in design execution and maintain quality standards. • Experiment with new techniques, textures, and materials to push creative boundaries. • Maintain an organized library of textile swatches, samples, and digital design files. Qualifications & Skills: • Bachelor’s degree in Textile Design, Fashion Design, or a related field. • 1-2 years of experience in textile or surface design and fresh graduates with strong portfolios. • Proficiency in Adobe Photoshop, Illustrator, and CAD for print development. • Strong sense of color, pattern, and composition. • Knowledge of textile production processes, print methods, and fabric types. • Excellent communication and collaboration skills. • A deep appreciation for artisanal crafts, heritage techniques, and storytelling through design.

Key Responsibilities Video Editor Edit high-quality videos for social media, YouTube, websites, advertisements, and marketing campaigns. Trim, arrange, and assemble raw footage into engaging and visually appealing content. Add transitions, motion graphics, text overlays, sound effects, music, and visual effects as required. Perform color correction, color grading, and audio enhancement to ensure professional-quality output. Collaborate with the marketing, creative, and content teams to understand project objectives and deliver compelling visual stories. Create short-form and long-form video content optimized for different digital platforms. Ensure all videos align with the company's brand guidelines and creative standards. Manage multiple editing projects while meeting deadlines and maintaining quality. Organize and maintain video assets, project files, and backups. Stay updated with the latest video editing trends, tools, and social media content formats. Review and revise videos based on stakeholder feedback. Optimize videos for different screen sizes, resolutions, and platform-specific requirements. Maintain consistency in branding, style, and messaging across all video content. Assist in basic video shooting, footage selection, and post-production activities when required.

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Role: Senior Support Specialist (Enterprise Agentic AI) Company: Ema Unlimited Inc. Location: London Employment Type: Full-time/Remote 1. About Ema (Why Ema) Ema is building the world’s first Universal AI Employee — a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations. Ema’s customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive . Support is production reliability, trust preservation, and system learning . At Ema, Senior Technical Support Specialists are operators of live AI systems , not ticket handlers. 2. Role Overview The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema’s deployed agentic AI systems in production. This role sits at the intersection of: AI behavior Workflow orchestration Enterprise integrations Customer trust Engineering feedback loops This is: ❌ Not L1 / call-center support, ❌ Not a “just escalate to engineering” role, ❌ Not reactive firefighting only This is : A senior

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pipeline Engineering team at Everpure™ as a Software Engineer to build, own, and operationally scale the microservices and Temporal workflows driving continuous integration for FlashArray, FlashBlade, and Hyperscale. In this developer-first role based in Bangalore, you will design durable production services and agentic AI tools that directly reduce time-to-signal, optimize compute utilization, and absorb operational toil across our global engineering workforce. WHAT YOU'LL DO Architect Deterministic CI Workflows: Design and deploy production microservices and durable Temporal workflows that make pipeline execution resilient, resumable, and fully debuggable for enterprise storage platforms. Optimize Compute & Testbed Utilization: Extend in-house scheduling logic and placement algorithms across bare-metal hardware and VM fleets to minimize queue times and maximize infrastructure efficiency. Build Operational AI Agents: Engineer RAG pipelines and agentic workflows over failure logs, vector stores, and test metadata to automate root-cause analysis, flake classification, and developer triage. Drive Platform Observability & Ownership: Establish key platform metrics—including time-to-signal and pass/flake rates—while operating your services end-to-end to ensure long-term stability and eliminate recurring failure modes. Collaborate Across Product Teams: Partner with platform and product engineering group