Machine Operators Helpers Assistants Jobs

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is hiring a Senior Integrated Campaigns Manager to architect and lead the global, multi-channel campaigns that drive awareness, adoption, and pipeline for Vercel's platform and developer tools. You will report to the Head of Strategic Events & Integrated Demand Generation and own Vercel's integrated campaign motion. You'll translate product and business priorities into cohesive campaign narratives that resonate with developers, technical decision-makers, and enterprise buyers then orchestrate the cross-functional machine that brings them to life. Working alongside Product Marketing, Growth, Digital, Field Marketing, Strategic Events, and Sales, you'll unify individual channel efforts into a single integrated motion. Every campaign you run will blend developer-first storytelling with enterprise-grade messaging and span the full funnel from first touch to closed revenue. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Own the end-to-end strategy, planning, and execution of Vercel's global integrated campaigns, from big-idea development through channel activation, measurement, and iteration. Translate product and business priorities into campaign narratives and messaging architectures tailored to distinct audiences: developers, full-stack

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

Location : Come and join us in Hamburg or Berlin! Following Lyft’s acquisition of Freenow, we are looking for a Senior TPM to lead the technical workstreams that get us to Day 1 readiness — the period between signing and closing — and to set up the integration that follows. This is a high-stakes, high-visibility role reporting into the EU Tech Leader, with direct exposure to Freenow and Lyft leadership. You will be the single point of accountability for technical Day 1 readiness. That means making sure every employee, every office, and every critical system is ready to operate underFreenow by Lyft from the moment the deal closes — and that the integration stream is up and running the day after. You will also be the TPM accountable for the integration of future acquisitions Freenow makes. This is not a role for someone who wants to administer a project plan. You are expected to be technically credible, opinionated, and comfortable holding senior people to account across IT, Security, Infrastructure, Engineering, Legal, People, and Finance. You make decisions when others stall, escalate cleanly when you can’t, and keep the whole machine moving. YOUR DAILY ADVENTURES WILL INCLUDE: Day 1 readiness. Own the end-to-end technical readiness plan between signing and closing. Define what “ready” means, track every workstream against it, and call the go/no-go on technical readiness for Day 1. IT and workplace cutover. Coordinate identity and system access (SSO, IdP, mail, productivity suite, engineering tooling), hardware provisioning and re-imaging, and office setup including network, VPN, Wi-Fi, meeting rooms, and physical access. Make sure nobody shows up on Day 1 unable to work. Security and compliance posture. Partner with Security and Legal to make sure the technical environment meets the new shareholder’s requirements on Day 1 — access controls, data handling, audit trails, vendor relationships. Integration stream kickoff. Stand up the technical integration workstreams

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! Why this role? This role will focus on breaking down engineering tasks such as reporting, component search and handling of material billing/information into individual steps that can be tackled through tool use. Your breakdown will teach the Cohere model the logic needed to complete each task. Please Note: This is a part-time independent contractor position available within Canada . We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: Evaluate the model's ability to respond to engineering procedures and workflows Task models to complete engineering tasks along with verified information to evaluate the accuracy of the model's responses Label, proofread, and improve machine-written and human-written engineering-related outputs. Follow our style guide, and make recommendations on unique situations that fall outside of its scope. You may be a good fit if you have: 3+ years of industry experience working in engineering fields (civil, mechanica

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

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities In this role, you will have the outstanding opportunity to drive world-class initiatives that are pivotal to Micron's manufacturing excellence. You'll be responsible for leading critical programs, developing governance frameworks, and partnering with cross-functional teams to meet ambitious goals. Frontline Stability Initiative (FSI) Lead the rollout and maintenance of Frontline Stability Program initiatives across HBM and Non-HBM manufacturing lines. Manage governance frameworks such as Frontline Equipment Auto Trigger (FEAT), Equipment Function Matching (EFM), and Change Event Standardization and Governance (CESG). Establish operational benchmarks and monitoring mechanisms to improve manufacturing stability, equipment health, and quality performance. Work alongside Site Engineering, Quality, and Manufacturing departments to secure timely closure of issues and alignment with governance standards. Frontline Equipment Automatic Activation (FEAT) Define and deploy machine auto-trigger strategies based on equipment alarms, FDC, SPC, hotspot detection, and Sub-Lot Soft Bin Limits (SBL). Develop and implement FEAT dashboards and real-time monitoring solutions with AI Assistant. Apply Artificial Intelligence to analyze chronic equipment triggers and lead cross-functional teams in root cause identification and corrective action implementation. Develop governance processes to ensure rapid co

1. Supervision of Civil & interior work of new branch office in region. 2. Allotment & Keeping a record of branch office seat allocation and debit the expenses to JSW Group companies. 3. Coordination & renewal of contract / maintenance contract with third party vendors for Housekeeping manpower security & building maintenance etc. 4. Coordination with Regional & branch office heads for day to day operational administrative activities & Challenges. 5. Coordinating with branch finance person to get the PR/PO done. 6. Coordination and keeping a track of branch offices lease / leave & license agreement for renewal. 7. Cost Control Ideation implementation cost analysis and Management reporting of the measures taken and actual impact. 8. Taking demands from the region for Capex & Opex items consolidating the demands raising the opex in totality (inviting quotes making comparative matrix calculation and executive summary justification summary) for sending it to Corporate office for final approval 9. Processing of monthly bills related to administration operational expenses of branch offices like office rent Security & housekeeping bills Electricity bill PRI/Telephone bill etc. 10. Repair and maintenance of branch offices. 11. Renewal of Annual Maintenance Contracts like Air Condition EPBX CCTV Fire Alar Fire Extinguishers Vending machine Pest Control & UPS etc of across region offices. 12. Keeping a record & inform HO for approval if any there is a Salary revision of all the outsource manpower based on the Govt. DA revision is due. Fixing all the additional benefits as per the statutes and making all the manpower agencies accountable adherence. 13. Liaison with the labour department local administration civil bodies fire department etc for smooth functioning of the establishments. 14. Formulating comprehensive Emergency Response Plan/ Evacuation plan in case of any Fire or undue incident. Training of Security staff and all employ

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

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks Get the passdown Capture information from supervisors and planning reports Build an action plan Implement and communicate the plan Assess and evaluate plan results Make necessary adjustments Monitor progress Maintain equipment Diagnose equipment problems and implement solutions Evaluate problems using validated detailed troubleshooting methods Ensure record keeping/documentation in equipment tracking system Perform preventive maintenance Perform calibrations on area equipment Select and utilize accurate test equipment and tools Align with standardized procedures and guidelines Stay ahead of on process and equipment procedures Keep work areas clean and organized Collaborate with team members, including engineers and maintenance staff, to identify opportunities for system improvements and upgrades, including AI-enabled and agentic solutions for process optimization . Monitor equipment performance and address deviations Extract data from applicable sources Ensure reliability of data Measure process metrics Identify equipment inaccuracy or inefficiency Communicate trends of machine performance Contain deviation or inefficiencies Communicate information to appropriate personnel Provide communication between ES, Engineering,

Technical Project Manager, Vision Intelligence - MachineQ — 4 Locations. Apply via Workday.

Requirement To maintain the Plant& 39 s Machines & Automats to support manufacturing of WSGR products at WSGR factory (Kalwa) and at vendors. To supervise individually Breakdown Corrective Preventive maintenance which are primarily Electrical in nature. To plan execute retrofitting & overhauling activities. To support external vendors in maintaining Siemens assets. Qualification Preferably Diploma Mechatronics or Electrical with PWD electrical license Address: Kalwa Works,Thane Belapur Road, Airoli 400708 Facility: SIEMENS - IN-KALA0 Qualification: Diploma Experience: 6 - 7 years Source: Sodexo India | Job Code: IJP560555

Requirement To maintain the Plant& 39 s Machines & Automats to support manufacturing of WSGR products at WSGR factory (Kalwa) and at vendors. To supervise individually Breakdown Corrective Preventive maintenance which are primarily Electrical in nature. To plan execute retrofitting & overhauling activities. To support external vendors in maintaining Siemens assets. Qualification Preferably Diploma Mechatronics or Electrical with PWD electrical license Address: Kalwa Works,Thane Belapur Road, Airoli 400708 Facility: SIEMENS - IN-KALA0 Qualification: Diploma Experience: 6 - 7 years Source: Sodexo India | Job Code: IJP560554

Requirement To maintain the Plant& 39 s Machines & Automats to support manufacturing of WSGR products at WSGR factory (Kalwa) and at vendors. To supervise individually Breakdown Corrective Preventive maintenance which are primarily Electrical in nature. To plan execute retrofitting & overhauling activities. To support external vendors in maintaining Siemens assets. Qualification Preferably Diploma Mechatronics or Electrical with PWD electrical license Address: Kalwa Works,Thane Belapur Road, Airoli 400708 Facility: SIEMENS - IN-KALA0 Qualification: Diploma Experience: 6 - 7 years Source: Sodexo India | Job Code: IJP560556

We are now looking for an AI Developer Technology Engineer Interns. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.” Come join a team full of world-class computer scientists to work in its Compute Developer Technology team as an AI Developer Technology Engineer. What you will be doing: Work and develop state of the art techniques in LLM/AIGX/GR, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures You will provide the best AI solutions using GPUs working directly with key customers Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. <