Computer Generated Image Producer in United States

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 - Processes prior authorization requests received by phone, fax, or electronically and utilizes various computer resources, existing criteria, and medication guidelines to perform clinical research to support prior authorization reviews. - Proactively completes prior authorization approvals and denials that are due to expire and maintains complete, timely, and accurate documentation. - Reviews potential prior authorization denial language to ensure NCQA requirements are met. - Follows prior authorization workflow, policies, and procedures during the course of the workday. - Answers a potentially high volume of prior authorization inquiry calls from provider's offices, pharmacies, and internal partners and uses various computer resources to communicate prior authorization status or decisions. - Maintains a balance of productivity, quality and timeliness of work. - Participates in training and continuing education as required. - Participates in team/departmental meetings as required. - Excellent attendance is a must. - Successful pharmacy technicians will be proficient in drug name and diagnosis pronunciation, recognizing medical terminology, and navigating multiple computer resources to document conversations and prior authorization decisions. - Successful pharmacy technicians will possess good written and verbal communication

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 - Processes prior authorization requests received by phone, fax, or electronically and utilizes various computer resources, existing criteria, and medication guidelines to perform clinical research to support prior authorization reviews. - Proactively completes prior authorization approvals and denials that are due to expire and maintains complete, timely, and accurate documentation. - Reviews potential prior authorization denial language to ensure NCQA requirements are met. - Follows prior authorization workflow, policies, and procedures during the course of the workday. - Answers a potentially high volume of prior authorization inquiry calls from provider's offices, pharmacies, and internal partners and uses various computer resources to communicate prior authorization status or decisions. - Maintains a balance of productivity, quality and timeliness of work. - Participates in training and continuing education as required. - Participates in team/departmental meetings as required. - Excellent attendance is a must. - Successful pharmacy technicians will be proficient in drug name and diagnosis pronunciation, recognizing medical terminology, and navigating multiple computer resources to document conversations and prior authorization decisions. - Successful pharmacy technicians will possess good written and verbal communication

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 Field Service Technician provides on-site technical support to CVS Pharmacy locations, traveling between stores to maintain and repair computer systems, hardware, and store technology. This role supports point-of-sale (POS), pharmacy systems, networking equipment, and other in-store technologies. The technician diagnoses and resolves technical issues, performs preventative maintenance, and ensures minimal disruption to store operations. This position works closely with remote support teams such as network services, software engineering, and help desk personnel to restore service and identify root causes of issues. The Field Service Technician maintains accurate service records and ensures timely resolution of all assigned work while delivering excellent in-store customer support. What You Will Do Travel between assigned CVS Pharmacy locations to provide on-site technical support and maintenance. Deliver hands-on support for store systems, including POS systems, pharmacy systems, photo kiosks, and inventory management systems. Perform preventative maintenance, software updates, hardware upgrades, and equipment replacements to ensure optimal system performance with minimal supervision. Install and integrate new technology in stores, including setup and configuration of POS terminals, peripherals, and network connectivity. <

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. Micron is seeking motivated Process Technicians to support wafer manufacturing by monitoring operations, reviewing data, and working closely with engineering and production teams to enhance yield, quality, and efficiency. This role requires strong analytical thinking, attention to detail, and disciplined execution. Process Technicians must have the ability to recognize abnormal conditions and apply structured problem-solving to troubleshoot issues in a fast-paced manufacturing environment while adhering to established procedures. Ideal candidates are comfortable working with data, dashboards, and computer-based systems and are capable of extracting, analyzing, and interpreting trends and clearly communicating insights. Success depends on effective communication, strong organization and time management skills, the ability to work independently, and flexibility with responsibilities and shift schedules. As part of a fabrication team driving innovation for a global leader in memory and storage solutions, Process Technicians directly support manufacturing excellence while demonstrating reliability, engagement, and a growth mindset aligned with Micron’s core values: People, Innovation, Tenacity, Collaboration, and Customer Focus. Responsibilities: • Manage semiconductor equipment, perform technical evaluations, and partner with cross functional teams to monitor, stabilize, and improve wafer fabrication processes. • Work with engineering teams to enhance workstations and apply structured troubleshooting and escalati

NVIDIA Research is seeking extraordinary networking innovators to join our NVResearch team. As a research intern on this team, you will contribute to the development of future high-performance networking and computing systems. We are seeking a balanced background of research excellence in building systems and a deep understanding and broad perspective across the fields of computer architecture and communication systems for distributed computation. NVIDIA has pioneered programmable GPUs and the CUDA language, and this visionary Research team will take those technologies to the next level with its creative ideas and new inventions. This position offers you the opportunity to have a real impact while working with some of the most creative and forward-thinking people in the world who are here at this dynamic, technology-focused company. What you'll be doing: Develop algorithms and design hardware and software, extending the state of the art in computing, networking, and other technology areas surrounding NVIDIA's business. Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results include prototypes, patents, and publications. Contribute to research that informs NVIDIA's technology direction 5-10 years out. Work focuses on long-horizon problems rather than products currently shipping or in development, except as to how they can be extended and improved. Projects can include but are not limited to: optimizing communication stacks for AI training and inference, designing network protocols and congestion control, co-designing AI systems across software and hardware, developing circuits and microarchitecture for network controllers and switches, and architecting networks built on optical switching and silicon photonics. What we need to see: Pursuing a

NVIDIA is at the forefront of the AI and robotics revolution, and NVIDIA’s robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is uniquely positioned at the intersection of open academic research and real-world industry impact, pursuing fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, simulation, and robotics foundation models. This research aims to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and create new robotics markets for the world. The Seattle Robotics Lab has published over 500 research papers, including many influential works that have been presented at top robotics, AI, and computer vision conferences. These works include BayesSim , cuRobo , DeXtreme , DiSECT , Factory , GraspNet , IndustReal , ITPS , LAPA , <a href="h

Be at the forefront of innovation with NVIDIA! Our CUDA Libraries & Frameworks Product Marketing Manager role offers an outstanding opportunity to build the future of accelerated computing. This is your chance to join an elite team in Santa Clara, where your contributions will have a lasting impact on technology and society! We are looking for a technical, AI-first CUDA Product Marketing Manager. This is a hands-on PMM role for someone who uses AI coding agents and automation as part of daily execution, not as an occasional productivity aid. Come help craft the story for CUDA, core NVIDIA acceleration libraries like cuDNN, NCCL, NIXL, and AI frameworks like PyTorch, JAX, vLLM, and SGLang. What you'll be doing: Own positioning and messaging for CUDA as a developer platform, including the CUDA programming model, compilers, and core libraries. Make technical capabilities clear, credible, and useful for developers and technical decision-makers. Translate technical features for core libraries such as cuDNN, NCCL, CUTLASS, and TensorRT-LLM into data-driven developer narratives, release messages, proof points, ecosystem informed claims, and field-ready assets. Describe how NVIDIA speeds up AI frameworks and runtimes such as PyTorch, JAX, vLLM, and SGLang, linking low-level platform features to benefits for developers. Use AI coding agents daily to build PMM operating systems: competitive-intelligence agents, automated research pipelines, content auditing, reporting, and partner mapping. Turn documentation, performance benchmarks, GitHub issues, customer signals, and roadmap updates, into messaging assets. Lead go-to-market execution for CUDA launches and core library releases. What we need to see: Bachelor's degree in Computer Science or relevant field (or equivalent experience).

Work Flexibility: Field-based Associate Field Service Representative – Transport As an Associate Field Service Representative, you will play a key role in supporting a designated service territory along with repairing and delivering Stryker equipment with a focus on Transport solutions. You will work with a diverse range of products, including stretchers, transport chairs, bed frames, and temperature management systems. This position serves as an excellent opportunity to gain valuable experience and advance into a more senior ProCare role within Stryker. What you will do Possess basic electronic and mechanical aptitude. Perform all required quality control checks and preventative maintenance, global hold repairs, and wireless upgrades Utilize computer software to complete documentation, order parts, reference training materials, and more Present the highest level of customer etiquette in support of the sales team, and promote increased equipment and service usage by establishing and maintaining effective customer relationships Work mostly independently and engage in opportunities to support and collaborate with teammates across the business, including assisting on Field Service projects and initiatives Adhere to and maintain excellent Field Service metrics; not limited to but including hours and overtime accountability, inventory accuracy, cadence of documentation, etc. What you need Required: High School diploma. Must be at least 21 years of age to meet our driving requirements. Valid driver license in the state of residence with a good driving record as you will oper

The Inventory Specialist is responsible for both traditional medical/surgical supplies management and 2-Bin Kanban project supply chain systems. This role is responsible for the accurate and efficient counting, stocking, and auditing of consumable medical/surgical supplies, pharmaceuticals, surgical implants, instruments, and other hospital assets. This role may also be responsible for installing and maintaining 2-Bin Kanban project supply chain lines, including assembling and adjusting inventory storage racks. This is a temporary position that will require extensive travel. Essential Functions and Responsibilities: Accurately capture inventory count data in the HITS program, utilizing Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Perform inventory counts, ensuring all items are accounted for and reported according to established policies. Report discrepancies in inventory to the Team Leader. Maintain a high level of competency in using technology for inventory data capture, including the HITS application. Regularly communicate with the Team Leader regarding any issues with the HITS program and/or computer equipment. Assemble/disassemble and adjust inventory storage racks, carts, and shelving for supplies. Install carts to each par location. Organize and stock inventory shelving as directed by the supervisor and hospital staff teams. Read data for supplies description, item number, par, and unit of measurement (uom). Pick one (1) each of supplies for each par location and label with a temporary label. Bin and stage supplies on carts with appropriate bin size and label. Label bins and carts. Accurately capture inventory count data in the HITS program using Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Follow procedures and protocols outlined in job orientation and training. Follow company procedures, guidelines, and standards in customer service, equipment utilization, a

We are looking for a Senior Software Engineer to become part of our storage management plane team. The management plane is a web-based application crafted to provide our storage customers the capabilities to handle and supervise our distributed storage infrastructure. Our team is continually dedicated to acquiring and implementing ground breaking technologies to overcome obstacles and innovate solutions for improving our ability to handle large clusters of machines efficiently. What You Will Be Doing: Maintain and develop Kubernetes operators and our Container Storage Interface (CSI) plugin. Develop a web-based solution that manages, operates and monitors our distributed storage. Work closely with other teams to define and implement new APIs. What We Need to See: B.Sc., M.Sc. or Ph.D. in Computer Science, or related discipline, or equivalent experience. 8&#43; years of experience in web development ( both client and server ) Proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins. Experience scripting with Python, Bash or similar. Experience with nodejs is a must At least 5 years of experience working in a Linux OS environment You’re smart and a quick learner You do what it takes to get the job done Passionate about coding and big challenges Ways to stand out from the crowd: NodeJS for the server side: dominant modules are async & express . Kafka, MongoDB, K8s JavaScript frameworks: React, jQuery, c3j

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: Baseten Embeddings Inference: The fastest embeddings solution available The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure. Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and other libraries to debug ML performance issues. Apply and scale optimization techniques across a wide range of ML models, particularly large language models. Collaborate with a diverse team to design and implement innovative solutions. Own projects from idea to production. REQUIREMENTS Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. Experience with one

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in maths and computer science to join our growing Post-Training team at Baseten. Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often if involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. RECENT RESEARCH Dense, on-policy or both? Repeated kv cache for long-running agents Distillation without the dark – rep

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

About the team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval , SWE-bench Verified , MLE-bench , PaperBench , and SWE-Lancer . If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you'll: Create ambitious RL environments to push our models to their limits, and measure frontier

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, Connectors, you will teach models how to interface with the top professional software using code. You will help train agents to use code, APIs, tools, and structured integrations to operate across applications like Slack, Google Workspace, GitHub, Notion, Linear, Salesforce, and other core systems of work. You will help enable models to take useful actions across a user’s digital context: finding information, updating systems, coordinating work, generating artifacts, and completing multi-step workflows through the tools teams already use. You will train models to be supercharged by the world’s most important productivity and enterprise software, turning connected tools into a powerful action surface for our agents. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people.