Tools And Automation Engineer in United States

We anticipate the application window for this opening will close on - 3 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life As one of three comprehensive portfolios at Medtronic, Neuroscience is dedicated to improving the lives of people living with neurological disorders, spine conditions, and chronic pain. Guided by our Mission—to alleviate pain, restore health, and extend life—we develop technologies and therapies that help people regain function, reduce pain, and return to the activities that matter most. Our ENT operating unit provides innovative technologies for sinus, otology, neurotology, head & neck, skull base, and airway care. With advanced instruments, image-guided systems, and implants, we enhance precision, safety, and efficiency, supporting clinicians with education and clinical guidance to improve patient outcomes. Check us out on LinkedIn: Medtronic ENT Medtronic’s ENT Operating Unit is dedicated to advancing surgical care through innovative technologies that enhance precision, efficiency, and patient outcomes. With a comprehensive portfolio that includes the StealthStation™ ENT Navigation System, M4 & M5 Microdebriders, and NIM™ Nerve Monitoring Systems, we empower surgeons with cutting-edge tool

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Search is being rebuilt in real time. Millions of people now start with a question to ChatGPT, Claude, Gemini, or Perplexity, and the answer they get decides which products they try. When someone asks how to build an app, a website, or a tool for their business, Replit needs to be the answer. We're hiring an AEO/GEO/SEO Lead to own how Replit gets discovered, across AI-generated answers and traditional search. This is a zero-to-one role. You'll define the strategy, then execute it yourself with AI-leveraged production, agency partners, and cross-functional teams behind you. You'll work daily with our Web, Growth, Brand, Content, Product, Engineering, and Analytics teams. The fastest-growing AI-native companies have already turned AI answers into a primary acquisition channel. Your mandate is to do the same for Replit: grow AI referral traffic into one of our largest sources of new builders, keep our traditional search presence compounding, and make Replit the platform AI assistants recommend when anyone wants to build software. Replit moves fast. We ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We're looking for someone who thrives in that environment: part strategist, part operator, part scientist of a channel that changes every month. What You'll Do Own the AEO/GEO Strategy Define where Replit must show up across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, for which prompts and buyer intents, and build the playbook to win those answers. Set targets, sequence the roadmap, and defend the strategy with data. Win Citations Across the Open Web LLMs cite what they trust: Reddit threads, YouTube videos, high-authority publications, co

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. About the Role As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models. We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if: You love being on the cutting edge of RL and language model research. You’re a self-starter who takes initiative and ownership of ideas, driving them to completion. You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. You’re comfortable diving into a large ML codebase to debug and improve it. You have a deep understanding of machine learning and machine learning applications. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the ful

Job Details: Job Description: Join Intel's Advanced Packaging Technology Development - Substrate and Wafer Assembly (ATPD: SWA) team and help us fulfill our mission to be the supplier of choice for leading-edge, cost-effective substrate packaging. As a Manufacturing Equipment Technician, you will support critical manufacturing equipment and drive continuous improvement in a highly technical, cleanroom production environment. Shift 5: Shift 5: (days frontend) AM-PM Sun-Tues and alternating Wednesday days / Hours: 6:00 a.m.-6:00 p.m. Manufacturing Equipment Technicians in Advanced Packaging Technology Development: Substrate and Wafer Assembly are responsible for: Performing electrical and/or mechanical troubleshooting to diagnose issues with non-functioning electromechanical equipment used in semiconductor manufacturing. Dismantling, adjusting, repairing, and assembling equipment according to layout plans, blueprints, operating or repair manuals, rough sketches, or engineering drawings. Performing setup, calibration, and preventive maintenance on production equipment, with a focus on wet chemistry, plating, and dry high-vacuum toolsets. Documenting maintenance activities, repairs, parts usage, and findings in accordance with established procedures and systems. Collaborating with engineering, process, and support teams to improve tool performance, reduce equipment downtime, and enhance process capability and reliability. Leading or contributing to continuous improvement projects, including root cause analysis, yield and uptime improvement initiatives, and optimization of maintenance practices. Assignments are semi-routine in nature and performed within generally defined parameters. Employees normally receive general instructions on most work and are expected to exer

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users. In this role, you will: Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search. Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users. Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world You might thrive in this role if you: Have extensive prior experience building and maintaining production machine learning systems. Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases Have prior experience building and iterating on internet-scale search systems Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or de

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond. Develop tooling and metrics that provide deep observability into system performance. Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements. Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale. Lead investigations into high-impact performance regressions or scalability issues in production. Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: Have 7+ years of experience in software engineering with a strong tr

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Technical Package Lead and different design teams in the design and development of sophisticated, detailed layout of IC substrates for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment. Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite. Propose layout design trade-offs to the Technical Package Lead for resolution and implementation. Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance. Develop symbols and CAD library databases using Cadence APD design tools Develop methodologies to improve layout productivity What we need to see: Hold a B.S. Electrical Engineering or equivalent experience 5+ years experience in PCB Layout of graphics cards, motherboards, line cards or other related technology. Experience with HDI designs is a plus Proven experience in substrate layout of wire bond and flip chip packages, preferred Significant background with Cadence AP

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Full-Stack Software Engineers to design and implement safe services, systems and infrastructure that power our core products. In this role, you will: Architect, build, and improve frontend and backend systems. Work across the full stack to build products and systems from initial exploration through launch readiness. Participate in long-term architectural planning and technical design reviews. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You might thrive in this role if you: Have built and shipped full-stack apps or systems end-to-end — in fast-moving, startup-like environments. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Enjoy building resilient products and services that handle large scale and complexity. Are self-directed and enjoy figuring out the best way to solve a particular problem Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool t

About the Team The Personal AGI team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own and pursue a research agenda to improve model capability and performance. Collaborate closely with the other research and product teams, allowing customers to optimize their own models. Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. You might thrive in this role if you: Have a deep understanding of machine learning and machine learning applications. Have a working knowledge of relevant models, and building evaluations for model capability improvement. Are comfortable diving into a large ML codebase to debug. Thrive in a dynamic and technically complex environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and

The Branch Manager SAFE Act is a senior management professional responsible for providing full leadership and direction to a team of employees, grow sales and client base in coordination with the consumer sales team . The overall objective of this role is to lead a team grow sales, build customer loyalty and recommend the development of business strategies or initiatives and may include the management of activities by external organizations, and the direct management of individuals and sales teams. Responsibilities: Develop a sales plans and drive individual production goals, including building referral network and relationships with internal partners and external contacts Create an environment through activity-based coaching and performance development and implement/execute coaching plan to develop employee’s skill set to achieve personal/branch goals Develop and execute integrated sales, relationship, and credit strategies that are aligned with the Retail Bank's priorities, execute business plan to achieve expected goals in all business categories Support portfolio growth by identifying opportunities to deepen relationships and increase client acquisition and ensure clients receive optimal service and monitor/adhere to operational controls Collaborate with branch partners to successfully achieve goals, build customer relationship and deliver customer service Leverage workforce planning tool to optimize staffing in branches and set expectations for branch staff, fostering an environment in which team members work together to achieve all business goals Integrate segment partners, partner with Assistant Manager and partner with the Division Operational to drive sales and drive outbound sales activities including: representing Citi and building partnerships in the community Conduct daily proof processes to ensure adherence to operational requirements; investigate control

ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team owns the experiences that turn a single-player tool into a multiplayer habit: the loops that bring people back, help them find their work, and pull their colleagues into a mural. Mural's self-serve growth runs through these experiences, and engagement and retention are central to how the business grows. YOUR MISSION As Senior Product Manager, Growth & Engagement, you will own the end-to-end self-serve experience, from a user's first touch through activation, return usage, and conversion to paid. You will treat the full funnel as one system: acquisition, activation, engagement, retention, sharing, and monetization. You will run a high-tempo experimentation practice, partner deeply across Product, Engineering, Design, Data, Marketing, and Sales, and make the calls that turn occasional users into teams that rely on Mural every week. This is a role for someone who wants to own real growth outcomes, not just ship features. You will own the surfaces that decide whether Mural's self-serve engine grows. Engagement and retention here move the business directly, and you will own the full loop across growth and engagement rather than a narrow slice of it. You’ll have a rare end-to-end view of the funnel, from acquisition through in-product engagement. You will work alongside thoughtful product, design, and engineering partners who care about craft and impact. WHAT YOU'LL DO Own product strategy, roadmap, and execution for the self-serve growth and engagement experience, from first touch through activation and return usage Build and optimize the invite, sharing, and join experience Drive activation and retention by improving the moments that bring people back: home and dashboard, notifications, search, rooms and folders, comments, and more Partner closely with Marketing to connect acquisition and re-engagement with in-product activation across

ABOUT THE TEAM The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually. YOUR MISSION You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences. Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB. WHAT YOU'LL DO Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy Champion engineering excellence, men

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We translate real-world user and operational signals into timely decisions, practical interventions, and improvements to our products and systems. This role will take on new, ambiguous, or underdeveloped operational risks and help mature them into scalable capabilities. We work across USRO and partner closely with Product, Engineering, Data Science, Product Policy, Legal, Safety, Support, and external vendors or partnership stakeholders. About the Role We are seeking a Senior Operations Analyst to take on complex, ambiguous safety and risk problems and turn them into practical operational solutions that can scale. This is a senior individual-contributor role for a versatile operator who is comfortable moving between queues, investigation, analysis, workflow design, hands-on execution, and cross-functional leadership. Depending on team needs, the role may focus on emerging-risk incubation, cloud deployment partnerships, or other new operational areas. You will be expected to move quickly, work hands-on, and create structure without waiting for perfect requirements or a large support team. The work starts with the problem, not a prescribed process. You may investigate unstructured user signals, stand up a lightweight workflow, build an AI-assisted tool, improve an existing operation, or help a new launch become operationally ready. The goal is to produce durable systems that other people can run, not simply complete a series of individual tasks. The portfolio will change with company priorities and may span established harm areas, emerging-risk incubation, cloud deployments and partnerships, device safety, or new product launches. Some hires may focus primarily on cloud deployment operations, including launch readiness, partner coordination, safety workflows, and operational monitoring. You will ty

About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement robust and fault-tolerant systems for data ingestion and processing. Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you: Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering). Proficiency in at least one programming language commonl