These positions are employed by Kelly Services with placement at Phoenix Contact in Middletown, PA. Production Manual Assembler The role of the Manual Assembler is to perform small parts assembly of cables and associated hardware. The assembler is responsible for the quality of their work. The assembler also has the flexibility to work in teams, small batch production, or flow lines. Qualifications High school diploma or equivalent required. Prior experience hand assembling small parts. Electronic assembly experience preferred. Strong organizational skills and attention to detail. Demonstrated ability to read and comprehend English written assembly prints and production documents. Essential Job Functions Must be willing to work overtime, including weekends, to meet production demands. Must be able to read, write, and comprehend English. If required, must pass an IPC 610 and 620 class Must be able to lift or move containers weighing up to a maximum of 50 pounds Must be able to sit or stand for at least 4 hours If required must pass standardized Print Reading Able to use pallet jack Able use portable staircase and climb to12 foot heights. Able to carry 20 pound / 3cubic feet boxes up and down portable staircase. Able to push 4-wheeled cart with 100 pound load. Production Operator The role of Production Operator is responsible for performing numerous functions associated with the manufacturing operation. This includes activities pertaining to independent machine set up, changeover, and operation of semi-automated and automated machines for production of various products. Qualifications Associate Degree in Mechanical/Electrical Technology is preferred. High school Diploma or equivalent required. Minimum of 1 year of practical experience in factory automation preferred Ability to read and comprehend English written assembly prints and production documents. Excellent computer skills. Ability to use math to analyze, troubleshoot and solve prob
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About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are seeking a dependable and motivated Entry-Level Injection Molding Machine Operator to join our new injection molding facility in Shelby Township, Michigan. This role is ideal for candidates with at least one year of experience in a manufacturing or production environment who are eager to grow their skills in injection molding operations. The operator will perform visual inspections of molded parts, light assembly, packaging, housekeeping duties, and support safe and efficient production processes. Key Responsibilities Machine Operation & Production - Operate injection molding machines under supervision following established procedures. - Monitor production to ensure consistent production output. - Notify supervisors of machine issues, quality concerns, or material shortages. Quality Control - Perform visual
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Main Purpose of the Role Summarize the main purpose of the role Achieve the daily production, quality and safety commitments. Performs a wide variety of electronic, manual, mechanical or electromechanical assembly operations in assemblies or sub-assemblies. Organize and operate automatic or semi-automatic machinery. Main Responsibilities List the main responsibilities this role regularly performs. Assemble, repair, inspect and/or test products following defined manufacturing procedures. Operate a variety of machinery or manufacturing equipment following defined procedures. Adhere to quality and compliance company guidelines. Adhere and follow all safety guidelines including adequate use of personal protective equipment (PPE). Follow good documentation practices defined in operating procedures. Dispose of waste of toxic material in the corresponding areas. Train other employees, when necessary. Keeps all certifications of your position up to d
About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role We are seeking a skilled EDM Operator / Electrode Designer to join our tooling and engineering team. This role is responsible for extracting and designing electrodes from 3D mold models and operating sinker (ram) EDM machines to burn precise detail into hardened tooling components. This is a hands-on, highly collaborative role working closely with mold design, CNC machining, and assembly teams to ensure electrodes and EDM burns meet dimensional, surface finish, and quality requirements while supporting efficient cycle times. What You’ll Do Extract and design electrodes from 3D mold models using Cimatron, including burn faces, spark gaps, blank sizing, and reference/holder setup. Program and machine graphite and copper electrodes on high-speed CNC milling equipment. Set up, align, and operate sinker (ram) EDM machines to b
Company: tastytrade Role: Senior Linux Infrastructure Engineer Location: Chicago, IL — Hybrid About the Role We are looking for a senior Linux engineer who is equal parts operator and builder. You will own the systems layer of our production environment — from the metal to the configuration management code. This is a hands-on role: you will jump into incidents, tackle challenging engineering problems, design systems that scale, and evaluate new software and architectures. This is not a role where the abstractions hide the machine. You are expected to be curious about what is underneath and to be the person other engineers come to when a system is behaving in a way nobody can explain. What You'll Do Own Linux performance. Diagnose and tune systems under real production load: CPU scheduling and NUMA placement, memory and page cache behavior, disk and filesystem I/O, and network stack tuning. Lead troubleshooting on hard problems. Work incidents methodically — form a hypothesis, find the cheapest test that falsifies it, and narrow the search rather than changing five things at once. Write postmortems, organize follow-up tasks, and future-proof the environment so the same issue does not recur. Write and maintain configuration management code. Build infrastructure declaratively with Salt, Ansible, Chef, or Puppet, treating that code with the same standards as application code: reviewed, tested, and version-controlled. Run containerized workloads. Build, deploy, and operate services on Kubernetes or Nomad, including scheduling behavior, resource limits, health checking, and the failure modes that only appear under contention. Automate in Bash and Python. Replace manual runbooks with tooling and streamline repeatable work. Operate core network services. Troubleshoot TCP/IP with confidence and bring solid networking fundamentals. Manage DNS and DHCP as production ser
About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, nearly every physical good begins life in a mold or is shaped by a manufacturing tool. Building those tools has always been slow, manual, and dependent on a shrinking pool of master craftsmen, taking weeks or months per part. We are changing that. From our Detroit headquarters, we pair the industrial DNA of America’s manufacturing heartland with the speed and precision of frontier AI. Our platform attacks the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days, and soon to minutes. We don’t just write software: we run a real, fully operational factory that ships production-grade tooling every week, giving us tight feedback loops most companies only dream about. Backed by top-tier investors, we are here to restore speed, flexibility, and capability to the American industrial base and to make manufacturing as agile and scalable as the digital world. Reindustrialization is the mission. The talent we hire is how we win. The Role This is our first dedicated recruiting hire, and it is one of the most important bets we will make this year. You will own how Atomic finds, courts, and closes exceptional people, and you will build the talent function from the ground up: the pipelines, the playbooks, the tooling, and eventually the team around you. We are looking for a tech-enabled, terminally online operator. You live where great talent actually spends its time—on X, in Discords and group chats, in niche Slacks and subreddits, at demo days and hackathons—and you know how to turn a cold DM into a signed offer. You treat sourcing like an engineering problem: instrumented, automated, and relentlessly optimized. You have extremely high agency and need almost no direction to go from “we need to hire this” to “they start Monday.” If you want to be one recruiter of
Data Engineer III itD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts. Location: Remote (US). Pay Rate: $48.60/hr Depends on Experience Duration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Design and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically. Define and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree. Build and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data. Build automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change. Build and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus l
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for an Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, and product
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, an
Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million of registered users across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new DevOps Engineer you'll join Squad Matrix based in Copenhagen, reporting to Jesper, working to build Lunar's governed self-service data platform alongside our data platform and analytics engineers. Matrix owns Hubble, the internal data platform that makes data usable across Lunar. Your focus won't be on building pipelines or analytical products. It'll be on the infrastructure, deployment mechanisms and operational capabilities those systems depend on. You'll make running data workloads feel like a well-engineered platform rather than a collection of individually operated systems. What will you do? Build and maintain data-specific Kubernetes capabilities for workloads like Flink, Kafka, and distributed databases — including operators, lifecycle management, storage integrations and workload isolation Create standardised CI/CD pipelines, GitOps workflows and deployment automation so engineers can build, test and ship data infrastructure with confidence Own observability and reliability for the data platform — metrics, tracing, dashboards, SLOs and automated health checks that make production understandable and operable Reduce manual operations through infrastructure automation, data-specific Infrastructure as Code and internal tooling that solves common problems once at the platform level Partner with data platform engineers and the wider platform organisation to extend shared foundations for data-intensive, stateful workloads — so the rest of the t
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
About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. 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, 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 Technical 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 technical escal
This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter This is where my hands make life-sustaining products As a Maintenance Specialist, you will maintain, troubleshoot, repair, and install a variety of electrical and mechanical equipment throughout the facility. Work on production machines, motors, conveyors, hydraulic and pneumatic systems, boilers, ovens, electrical controls, and power distribution equipment to help keep operations running safely and efficiently. Your Team You will be part of the Maintenance team and work closely with Production Operators, Engineers, Supervisors, and outside service providers. The team works together to solve equipment issues, improve reliability, and support a safe and productive work environment. What You'll Be Doing Fix, maintain, and install equipment across the facility to keep operations running smoothly. Use wiring diagrams, blueprints, manuals, and other instructions to identify and solve equipment problems. Complete routine preventive maintenance to help prevent breakdown
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Automation Controls Specialist will work as part of the engineering team designing, programming, modifying, testing, and supporting control systems for automated prescription dispensing equipment. This role serves as one of the automation and PLC programming resources, developing and implementing control system improvements that enhance quality, service, reliability, capacity, and operational performance. The position works as part of the engineering team. Also works closely with operations, maintenance, vendors, and project teams to develop automation solutions, support equipment integrations, and drive continuous improvement initiatives. Key Responsibilities Develop, program, test, and deploy PLC control system solutions for production equipment Develop new PLC logic, modify existing machine control programs, and implement automation enhancements to improve equipment performance · Support integration of new equipment, sensors, vision systems, robotics, and data collection systems into existing control architectures · Perform controls optimization and code improvements to increase equipment reliability, throughput, and operational efficiency Create and maintain documentation such as SOPs, manuals, test plans, and training guides · Train site personnel, technicians, operators, and leadership on new equipment and s
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role Paragraph: The FCM Operations team supports Coinbase Financial Markets, Inc.’s US Futures, Options, and Prediction Markets businesses by managing critical operational workflows, including trade flow and position management, margin monitoring, internal and regulatory reporting, and business analytics. The team also enables new product launches, feature enhancements, and vendor management. We are seeking a senior individual contributor who can operate at both strategic and execution depth, using technical and regulatory expertise to evolve the FCM operating model. This person will identify where workflows, controls, and tooling may break as the business scales, partner cross-functionally to design better solutions, and drive those solutions through implementation. This role is ideal for a hands-on, product-oriented operator who can translate business complexity into scalable processes, control frameworks, and operational tooling. What you’ll do: Own and continuously improve the FCM operating model across core workflows including trade flow management, position management, margin monitoring, internal reporting, regulatory reporting support, and business analytics. Lead the design and build of scalable operational solutions across people, process, and tooling, with a focus on reducing manual effort, increasing control quality, and improving operational r
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