Machine Operator Integrator Jobs

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Role Overview This is a hybrid role at the intersection of solution design and hands-on delivery. You will own enterprise engagements end to end: run technical discovery, design the solution, then build, deploy, and harden production agentic systems inside the customer's environment. You are the person who designs the agent architecture on the whiteboard on Tuesday and debugs its state machine in production on Thursday. You will work directly with customer engineering, operations, and executive teams — translating messy real- world workflows into deterministic, reliable AI agents on the DevRev platform, and proving business impact with numbers, not slideware. This is not an advisory role. You will be measured on working systems in production and the outcomes they What You Will Do Discover & Design Lead technical discovery: map customer workflows, systems of record, and failure modes; identify where agentic automation creates measurable economic impact (cost per case, resolution time, deflection). Build and deliver PoCs and proofs of value on live customer data and systems — not canned environments. Translate business problems into agent architectures: orchestration design, state manag

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Metrology Engineer is Hyliion's technical authority on dimensional measurement across internal operations and the supply base. KARNO functionality depends on precision machined components and sub-assemblies held to micron-level form and finish, and this position sits within the Quality function as the interface between Design Engineering, the supply base, Manufacturing, and Quality. The role owns the measurement system end to end: the metrology lab and equipment roadmap, inspection programs and fixtures, the calibration and gage control system, and the measurement standards to which both supplier and internal inspection are held. The position is accountable for the integrity of dimensional data wherever it is generated — at a supplier's machine, at receiving inspection, or in process on Hyliion's floor — and for ensuring that results from those sources agree within defined, documented tolerances. The balance between supplier-facing and internal work shifts with the maturity of the supply base and the product portfolio; both are permanent responsibilities of the role. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Supplier Metrology and Source Inspection Serve as Hyliion's technical lead for dimensional verification at key suppliers, including additive manufacturing partners, precision machining sources, and the magnetic assembly supply chain. Assess supplier measurement capability: equipment, environment,

COOK URGENT REQUIREMENT SINGAPORE . INDIAN COOK NO OF VECANCY 5 NOS SALARY 1500SGD TO 2500SGD QUALIFICATION BSC DEGREE OR DIPLOMA PASS TYPE E PASS OR WORK PERMIT 2 YEAR FOOD FREE ACCOMMODATION FREE. FRESH TO SINGAPORE E-PASS (Male) Dishwasher years of age, can speak English Educational requirements Bachelor's degree or above Basic salary: $1400+ 400 house allowance + 300 meal Allowance NO APPLICATION RECORD Work hours: 12hours per day, 2 days off per month. RMI REPORT MUST NEEDED . TEP SINGAPORE SINGAPORE WANTED:TEP(4 MONTH) Position: Cosmetics Sales Executive (Female)(No's 4) Salary:$1000 Accommodation Provided Food Allowance:$100 Working Hours:12 Hours Monthly 2 days off Age:25 to 35 Requirements 1.No qualification also can 2 Need to Speak basic Communication in English. FRESH TO SINGAPORE UNSKILLED WORKER PCM PERMIT GENERAL WORKER -40 NOS SALARY -22$+OT OT 1.5 SUNDAY & PUBLIC HOLIDAY 1.5 AGE 21-27 ONLY 10TH/12TH/OR ABOVE INDIA FRESH/GULF RETURN CAN APPLY JOB: RECYCLING WASTE MANAGEMENT WORKS AND CLEANING WORKS DIRECT SELECTION DOUBLE CONFIRM CANDIDATE ONLY SEND BIOS BASED ON PERFORMANCE COMPANY WILL SPONSOR SKILLED India to Singapore E Pass Minimart worker Salary 1500 Free accommodation 12 hrs duty Weekly 1 day off MBA degree 2017 to 2019 Must be willing to do sales, billing, things arrangements, cashier, loading & unloading and all works assigned by employer. PCM PERMIT SINGAPORE Gulf or Singapore Utrun welcome Water Treatment Plant MACHINE OPERATION TECHNICIAN Salary 8 hours $24 + OT Every day 3 hours Daily 12 hours Shift Monthly Can Earning $1200Above Accommodation company provided NEED Gulf or Singapore Experience. SINGAPORE E-PASS NTS Sales Executive cum General Worker (Male only) Salary : $1500 Accommodation Provided or Allowance $450 Lunch & Dinner Provided 12 hrs working 2 days off Age below 30 It may me textile, Cosmetic, Household, Vessels and Pooja Shop Requirements 1. Need to do Sales work, Loading

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

About the Role We're looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage its full lifecycle — turning racks of GPUs into running inference clusters without a human touching a runbook. The Research and Inference team is your customer: today they file tickets and wait; the target state is that they issue a single API call to stand up, scale, or tear down a cluster, and the system takes care of the rest. The platform is manifest-driven such that teams declare the desired state of a cluster or host — shape, topology, software stack — and the system is responsible for reconciling reality to that manifest, continuously, through every stage of its lifecycle. You will design the engines that manifest the schema, the engines that execute against it, and the workflows that carry a piece of hardware or a cluster from one state to the next—taking it from bare metal to a fully functioning AI cluster for training or inference. You'll write production code which is typed, tested, versioned, and deployed through CI/CD that models infrastructure state and reconciles it, the same way a Kubernetes controller reconciles a cluster's desired state. Success looks like eliminating manual provisioning work, not documenting it better. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions. Build the self-service API: design declarative

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The IT team helps keep Affirm’s people productive, connected, and secure by supporting the technology employees rely on every day. We manage and support end-user devices, enterprise applications, office technology, and IT infrastructure while maintaining a strong focus on security, compliance, and a seamless employee experience. Our team works across a broad range of technologies and partners closely with employees throughout the company to troubleshoot issues, improve processes, and build reliable, scalable solutions as Affirm grows. We’re seeking a flexible IT Support Administrator to help manage and support Affirm’s New York City office and technology infrastructure. Our ideal candidate excels in troubleshooting and problem-solving, with respect for compliance, and documentation. As a Support Administrator of a rapidly growing company, you will be the backbone of IT, with efficiency, security, and customer satisfaction being your primary objectives. What You'll Do: Locally support and troubleshoot users within our NYC office Remotely support and troubleshoot our end user’s problems Educate on and enforce our IT compliance and policy obligations Maintain our Zoom Rooms and AV hardware within conference rooms Monitor for security threats and malware, staying ahead of the curve to protect our users Occasionally maintain the in-office, local network infrastructure Maintain enterprise systems and company IT assets such as servers and desktops What We Look For: Experience with macOS administration and support Ability to improvise and find immediate solutions Experience managing formal ticketing systems Experience administering SaaS technologies Flexibility to work with all types of technology macOS, Windows, Printers, Network devices, etc. Experience with machine and account prov

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. About Torq Torq is the AI SOC platform transforming how enterprises run security operations. By combining a battle-tested hyperautomation engine with agentic AI, Torq lets security teams triage, investigate, and respond to threats at machine speed — moving beyond the limits of legacy SOAR and SIEM. Torq's AI agents act as digital analysts that work 24/7 to triage alerts, investigate threats, and remediate autonomously, freeing human analysts to focus on higher-value strategic work. Torq is defining and leading the AI SOC category, and the market recognition backs it up: Unicorn — closed a $140M Series D at a $1.2 billion valuation in January 2026, bringing total funding to $332M . Gartner — named the "Company to Beat" in AI SOC Agents for Threat Investigation (May 2026). KuppingerCole — named a Leader across all four AI SOC categories : Overall, Product, Innovation, and Market (April 2026). 4.8/5 rating on Gartner Peer Insights. ~300% revenue growth in 2025 , with a global team scaling fast. There's electricity in the air at Torq. We're a dynamic, highly motivated team propelling our customers and partners to new heights through AI-driven security operations. This Professional Services role sits at the front of the fastest-moving category in cybersec

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. About Torq Torq is the AI SOC platform transforming how enterprises run security operations. By combining a battle-tested hyperautomation engine with agentic AI, Torq lets security teams triage, investigate, and respond to threats at machine speed — moving beyond the limits of legacy SOAR and SIEM. Torq's AI agents act as digital analysts that work 24/7 to triage alerts, investigate threats, and remediate autonomously, freeing human analysts to focus on higher-value strategic work. Torq is defining and leading the AI SOC category, and the market recognition backs it up: Unicorn — closed a $140M Series D at a $1.2 billion valuation in January 2026, bringing total funding to $332M . Gartner — named the "Company to Beat" in AI SOC Agents for Threat Investigation (May 2026). KuppingerCole — named a Leader across all four AI SOC categories : Overall, Product, Innovation, and Market (April 2026). 4.8/5 rating on Gartner Peer Insights. ~300% revenue growth in 2025 , with a global team scaling fast. There's electricity in the air at Torq. We're a dynamic, highly motivated team propelling our customers and partners to new heights through AI-driven security operations. This Professional Services role sits at the front of the fastest-moving category in cybersec

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently. Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale. About the Work Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration. Design and operate large-scale data pipelines - batch and strea

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently. Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale. About the Work Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration. Design and operate large-scale data pipelines - batch and strea

About the Team DoorDash completes over 2.5 billion deliveries per year and is investing heavily in the next generation of delivery automation. This role is part of a small, high-impact team building a new autonomous system from the ground up, with the potential to eventually operate at a massive global scale. We haven’t publicly announced this specific project yet. We are seeking a highly capable, driven, and passionate mechanical engineer to design and develop high performance electric motors. The primary application of these motors is unmanned aerial vehicle (UAV) propulsion. There are other important motors on our aircraft and within ground equipment that we may decide to develop in house as well. About the Role This is an exploratory product space with significant opportunity for architectural ownership. This role is on-site in San Francisco’s mission district at least 3 days per week. Availability to be onsite 5 days per week is required with flexibility to work from home as appropriate. Occasional travel to suppliers is expected. You will operate in a very fast-paced, prototype-driven environment where hands-on engineering and rapid iteration are encouraged. We provide access to a full machine shop with welding equipment, additive manufacturing tools, electrical integration tools, and significant in-house test capability to enable efficient concept-to-hardware development. This is a senior role that offers autonomy, cross-functional collaboration, mentoring, and opportunities for increasing responsibility. You're excited about this opportunity because... Collaborate closely with: Electro-mechanical design experts on winding and magnet design. Internal, domestic and foreign manufacturing partners Electrical, systems, structural, aerodynamics, reliability, and test engineers as well as industrial design to refine requirements. Design mass and volume optimized rotor and stator structures. Bearing selection and bearing system design. Electrical wiring and co

1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn more about our Product & Tech team! Deine Position Own technical direction across Heartbeat AI's engineering domain (Mobile Apps, Energy Data, IoT Platform, and beyond), keeping architecture aligned with product direction Accountable for consistent execution of technical decisions within your domain, setting clear direction and holding the team accountable for implementation Set the technical bar for the team, stepping into the hardest problems yourself rather than just directing others Translate business and product requirements into technical solutions Mentor and challenge engineers within Heartbeat AI to accelerate their growth Build a high-performing engineering culture within the Heartbeat AI team Embed security and reliability as direct customer value Architect our systems and APIs so AI agents operate as first-class users with machine-readable contracts and structured errors that let agents self-correct Drive Heartbeat AI's shift to agentic engineering, reshaping how the team works so agents execute safely while humans stay

About Paytm Europe Merchants deserve better from their payments provider: fairer pricing, faster settlement, easier tools, and support from a partner that understands their business. Paytm Europe Payments S.A., backed by One97 Communications Limited, one of India's largest fintech groups, is building a merchant payments business in Europe. We are starting with Luxembourg and are currently in the early stages of shaping our product, go-to-market approach, merchant outreach, and local market understanding. We are looking for motivated interns who are curious, proactive, and excited to be part of building something from the ground up. About the Internship Duration: 6 months Location: Luxembourg Type: Internship As a Market Intelligence Intern, you will help Paytm Europe better understand Luxembourg's merchant market: visiting local businesses, speaking with merchants, collecting information on how they accept payments today, and helping the team spot opportunities. This is a hands-on role, split between the field visits and desk research. What You'll Be Doing ● Visit merchants across Luxembourg: restaurants, cafés, retail shops, convenience stores, fuel stations, and other small businesses. ● Ask merchants how they currently accept payments, which provider or card machine they use, and what works well and what does not. ● Record findings in a structured format: merchant name, location, business type, payment method, provider, and key pain points. ● Support desk research on Luxembourg's payments market: local providers, pricing models, card machines, and merchant reviews. ● Identify common challenges: payment costs, settlement delays, onboarding friction, hardware or reporting issues. ● Explore where AI or tech tools could help merchants: marketing, invoicing, inventory, reporting, loyalty, scheduling. ● Write findings into simple weekly summaries for the team. ● Coverage areas: Luxembourg City, Kirchberg, Cloche d'Or, Esch-sur-Alzette, Differdange, Dude

1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn more about our Product & Tech team! Deine Position You'll help shape the Virtual Assembly Line (VAL) team, which builds and scales our growth and operations systems: MarTech, CRM, Payment, Fulfillment and Installation, so we can scale globally with maximum efficiency and quality. Own technical direction across VAL's growth and operations engineering domain, keeping architecture aligned with product direction, and hold the team accountable for consistent execution of those decisions Set the technical bar for the teams, stepping into the hardest problems yourself rather than just directing others Translate business and product requirements into technical solutions that scale as we digitize the installation branches further Architect our systems and APIs so AI agents operate as first-class users with machine-readable contracts Drive VAL's shift to agentic engineering, reshaping how the team works so agents execute safely while humans stay accountable Mentor and challenge engineers within VAL to accelerate their growth Build a high-pe