Robot Operator Jobs

Do work that matters. At AlertMedia, we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays of The IT Support Specialist at AlertMedia will work with other IT staff to provide our employees with fast and friendly support with all their technology needs. This includes diagnosing, repairing, maintaining and upgrading Windows & Mac computers, servers, phones and critical software applications as necessary to ensure smooth operation. Who you are: You are a highly motivated, organized team player who is passionate about technology, customer service, and operational follow-through. You bring exceptional attention to detail, quickly get to the “why” behind every request or issue, and proactively keep work moving through clear action and timely communication. You are a self-starter who enjoys a challenge, thrives in a fast-paced environment, and takes pride in providing efficient, thoughtful support to fellow employees. You love figuring out how computers work, learning new things, following the latest OS updates, and have a healthy respect for patch management. What you get to do every day: Provide first level support of end users technology related issues in a prompt, courteous manner Respond to incoming calls, tickets, and Slack messages regarding computer or equipment problems, and software issues Guide us

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency . • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience . • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordi nate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes

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: • Accountable and sustain for Bond process. • Backup for Debond area process basic maintenance. • Establish and improve process condition and technology. • Upgrade tool capability and improve product quality. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. • Leveraging AI and data analytics tools to enhance process monitoring, root cause analysis, predictive maintenance, and process optimization. Qualifications and Skills • Experience in wafer bonding, debonding, coating, lithography, thin film, or advanced packaging processes is preferred. ​ • Establish and improve process condition and technology.​ • Upgrade tool capability and improve product quality.​ • Establish and modify process management projects.​ • Set up process parameters for a variety of semiconductor equipment. ​• Evaluation, promotion and planning of new equipment / materials. ​• Abnormal analysis and improvement.​ • Leveraging AI and data analytics tools to enhance process monitoring, root cause analysis, predictive maintenance, and process optimization for semiconductor manufacturing operations. Requirement:​

Quality Engineer (Associate or Experienced) Company: The Boeing Company Boeing Defense, Space and Security (BDS) has an exciting opportunity for an Quality Engineer (Associate or Experienced) to join the Quality Fabrication team in Hazelwood, MO! This position supports the production line by leading root cause investigations and corrective actions for nonconformances (NCRs), performing line stock checks and data analytics to identify trends, and presenting to stakeholders. The role works closely with production, quality, supply chain and engineering to ensure timely containment and permanent corrective actions that reduce recurrence and improve process capability. Position Responsibilities: Researches contractual and Boeing Quality Management System requirements for applicability to specific proposals and program processes and documentation. Develops sections of quality metrics, design and production certification plans to ensure compliance with contractual, Company and regulatory requirements. Analyzes capability assessments to support supplier selection activities. Participates in various reviews to ensure quality attributes are incorporated into product designs. Performs data analysis to ensure manufacturing and test readiness. Provides material review dispositions for non-conformances. Analyzes non-conformance trends to evaluate effectiveness of corrective actions. Compiles performance reports and other statistical data to ensure specified processes capability levels are achieved. Works under general supervision. Basic Qualifications (Required Skills/Experience): Bachelor of Science from an accredited course of study

NVIDIA is seeking a QA Engineer to join our Cloud Testing team. As part of the broader QA organization, you’ll focus on testing the software layer that enables NVIDIA’s products to achieve industry-leading benchmarks in performance and quality. This role involves hands-on testing of cutting-edge cloud and networking features, learning new technologies, and contributing to both manual and automated validation efforts. What You’ll Be Doing: Design, develop, and execute test plans for new features across software and update releases Identify and report bugs, assist in reproducing issues, and collaborate with R&D to isolate root causes and validate fixes Perform a variety of tests including functional, regression, performance, and security testing Analyze network flows and debug issues through log and system analysis Develop automation scripts and contribute to building scalable test infrastructures What We Need to See: Practical Engineer / BA / BSc in Computer Science or a related field 1–3 years of relevant work experience Proficiency in scripting and automation languages such as Python, PyTest, or Bash Strong hands-on experience with Linux systems Ability to work independently, take ownership, and execute tasks effectively Willingness and availability to work with physical lab setups Strong verbal and written communication skills in English Ways to Stand Out from the Crowd: Experience with containerized environments (Docker, Kubernetes) Familiarity with DevOps practices and CI/CD pipelines using Jenkins or GitLab Understanding and experience with Agile and Scrum methodologies A collaborative team player with a proactive and leadership-oriented minds

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we are seeking a Senior Account Manager who will bring technical and business insight to help grow the Networking business with Cloud Service Providers, leveraging NVIDIA’s fast-growing Datacenter Networking Business. What you'll be doing: You will be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to the Enterprise products group, the fastest growing and most dynamic segment at NVIDIA. Working with leading CSP to grow deployment of NVIDIA networking solutions Define and drive the discussions, strategy and tactics for achieving revenue growth Partner and collaborate with technical teams on roadmap updates, new designs, competition Representing the customer’s strategy & needs to internal stakeholders and vice versa Delivering a concise state of the business at any given time What we need to see: Bachelor’s degree or higher in related field (or equivalent experience). 12&#43; years of Technical Sales or Product Management with focus on Data Center Networking for CSPs An understanding of the business and technology landscape of CSP Data Center Networking <l

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the design and implementation of the world’s leading inference accelerator. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people around the globe. Their mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design Collaborate with architects, designers, and pre and post silicon verifi

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! The AI Infrastructure Product Design team creates software used by engineers and researchers to prepare data, run complex workflows, and understand results. This internship offers ownership of a defined product problem from early research through a tested design and implementation handoff. Designers on this team often move between Figma and working HTML prototypes, and may hand off HTML directly to engineering. This work calls for a high standard of visual and interaction design alongside technical fluency. The role is a good fit for someone who enjoys making technically complex systems easier to understand and who uses large language models and software agents thoughtfully as part of their design and prototyping process. What you will be doing: Own a focused design project for an internal AI infrastructure product, from understanding the problem through a validated design and implementation handoff. Interview engineers and researchers, map their workflows, and turn the findings into clear product requirements, user flows, and interaction models. Create precise, implementation-ready interface designs and interactive prototypes in Figma and HTML/CSS, with careful attention to typography, hierarchy, spacing, visual consistency, interactio

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation Research and implement techniques on frontier solutions of electronic design automation. Build and innovate agentic AI solution for VLSI design problem. Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: MS (or equivalent experience) with 3&#43; years’ experience or PhD with 1&#43; years’ experience in Electrical/Computer Engineering degree Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA Experience in Algorithms/Data Structures/

Work Flexibility: Onsite Schedule: Monday – Friday 6:00am - 2:30pm, OT as needed What you will do: In this role, you will support the Materials Manager in coordinating daily material operations on the production floor, ensuring accurate material flow, inventory integrity, and timely delivery of components to support production schedules and operational needs. This role focuses on maintaining efficient material movement, supporting quality standards, and enabling production teams to meet safety, delivery, and cost objectives. Coordinate material availability, staging, and delivery to support uninterrupted production and minimize production downtime. Promote inventory accuracy by supporting material movements, ERP transactions, and work order processes (backflushing, transfers, scrap, and completions). Assist in identifying and resolving inventory discrepancies through root cause analysis while supporting cycle counts, physical inventories, and audit activities. Leverage material usage trends and production demand insights to help optimize stocking strategies and align inventory levels with production plans. Reinforce proper material handling, storage practices, FIFO practices, and compliance with GMP, GDP, and traceability requirements. Serve as a cross-functional point of coordination between materials, production, planning, warehouse, and quality teams to ensure alignment and material readiness. Support the training and development of the Materials team, fostering accountability, accuracy, and continuous improvement. Contribute to process improvement and Lean initiatives to enhance material flow, reduce inventory levels, improve space utilization, and enhance line-side efficiency. What you need: Required Qualifications: High School Diploma

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: Inspect and judge reticles following standard operating procedures (SOP) or training knowledge, while leveraging AI-enabled tools to enhance inspection accuracy and decision consistency. Operate in the Fab and Photo area, maintaining strict adherence to safety and quality standards, and utilizing AI insights or digital systems to support real-time monitoring and issue identification. Successfully implement day and night shift rotations to support continuous production, using AI-assisted tools to optimize shift handover, summarize key issues, and track production status Collaborate with cross-functional teams to determine and resolve issues, applying AI as a thinking partner for troubleshooting, root cause analysis, and solution recommendations. Actively utilize AI tools (e.g., Copilot, GenieLLM) to generate summaries, draft communications, and organize work, improving efficiency and reducing manual workload. Proactively acquire and apply relevant knowledge, including AI capabilities, to continuously improve performance and support digital and AI transformation initiatives. Ensure responsible and secure use of AI tools by following company data protection, governance, and ethical guidelines. Qualifications & Skills: Proven ability to work effectively in a fast-paced, collaborative environment, wi

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable &#34;flight recorder&#34; for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as &#34;Hardware Fault,&#34; &#34;Software Bug,&#34; or &#34;Environment Issue.&#34; This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define &#34;signals of impending failure,&#34; enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6&#43; years in systems programming. Experience building automated

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior IT Auditor passionate about SOX and internal examination. The role supports the Senior Manager of IT SOX Compliance to strengthen NVIDIA’s internal control environment over financial reporting (ICFR). It involves collaborating with IT and accounting/finance groups to evaluate and build efficient business and IT controls that mitigate financial reporting risk. What you'll be doing: Plan, scope, and implement the end-to-end SOX 404 lifecycle, including walkthroughs, risk-control matrices, testing, deficiency evaluation, remediation, and reporting. Partner with process owners to assess risks in new and changing business processes,-identify the key IT controls, and build out narrative, flowchart and control description. Drive continuous improvement and automation by seeking opportunities to streamline, standardize, and automate controls, reducing operational friction while maintaining control effectiveness. Provide guidance and training to control owners to promote awareness and understanding of SOX compliance requirements. Serve as the primary point of contact for external auditors, and ensure a seamless, efficient audit process. Coach

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As the Distinguished Engineer for Security Architecture, within our Security Engineering organization, you will set the security design bar for an AI factory of hundreds of thousands of GPUs, and then build against it alongside the teams. This is the founding architecture seat in a new organization. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and this is the architecture function inside it. You will define the security design standard for DGX Cloud, a bar that sits above the company floor, and hold it from inside the teams doing the building. Security here is fleet horizontal and stack vertical, so your scope runs from the hardware root of trust and the hardened baseline, through tenancy and GPU workload isolation, to the services and APIs built on top, across every DGX Cloud engineering organization. A small team of Principal Engineers will report to you and hold the bar at domain depth. This is still a hands-on seat, and you stay in the design with them. You will also serve as DGX Cloud's technical interface into NVIDIA's central security organization. There is no architecture review board here and no approval queue; the bar holds because the strongest security engineers in the room helped set it and helped ship it. What You Will Be Doing: Set the DGX Cloud Security Bar: Own the security design standard across DGX Cloud (tenancy, GPU workloads, identity, supply chain, and isolation) and make it concrete. Reference architectures, golden paths, and requirements engineers can actually build against, not a policy library. Hold the Bar by Building: Embed with engineering teams on real work: join the design, learn the code, help ship the thing rather than grade it afterward.

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on platform power estimation and optimization Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments. What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience 8&#43; years of software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Understanding of the Linux power and thermal management features (schedule