At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past few years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We are now layering a product-led sales motion on top of our existing self-serve business to accelerate our ambitions further and bring the magic of Linear to even more and larger companies. As an Account Executive at Linear, you’ll contribute to the future of our product and help high-impact companies build better software. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Become a product expert and help customers use Linear effectively; assist prospects through the trial and evaluation phase Generate a strong pipeline and exceed quarterly targets Build relationships with key stakeholders within accounts Be the voice of the customer; advocate for customers by surfacing product or adoption blockers to our product team What we're looking for 5+ years in a quota-carrying sales role Experience selling to a technical audience; bonus if you have previous experience working with a collaboration or developer
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Tool Install Manager Jobs
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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 Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society, and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Oversight Research team aims to fundamentally advance our capabilities to maintain oversight over frontier AI models, and leverage these advances to ensure OpenAI’s deployed models are safe and beneficial. This requires a breadth of new ML research in the areas of human-AI collaboration, reasoning, robustness, and scalable oversight to keep pace with model capabilities. We invest heavily in developing novel model and system-level methods of identifying and mitigating AI misuse and misalignment. Our goal is to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with a passion for AI safety and experience in safety research. Your role will set directions for research to maintain effective oversight of safe AGI and work on research projects to identify and mitigate misuse and misalignment in our AI systems. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. Set research directions and strategies to make our AI systems safer, more aligned, and more robust. Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challen
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
About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. We aim to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities, how to make the model robust to adversaries, how to address privacy and security risks, and how to make the model trustworthy in safety-critical domains. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more. Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products. Set the research directions and strategies to make our AI systems safer, more aligned and more robust. Coordinate and collaborate with cross-functional teams, including T&S, legal,
URGENT HIRING ITI Fabricator Mechanical Fabrication Welder JP Nagar, Bangalore Recruitment Partner: IDEAL CAREER ZONE A reputed manufacturing company is urgently hiring ITI Fabricators and Mechanical Fabrication Welders for its production team at JP Nagar, Bangalore. Job Details • Position: ITI Fabricator / Mechanical Fabrication Welder • Industry: Manufacturing • Job Type: Full-Time • Location: JP Nagar, Bangalore • Vacancies: 5 • Gender: Male Candidates Only • Experience: 0 4 Years (Freshers can also apply) • Education: All Education Levels (ITI/Mechanical Trade Preferred) Salary & Benefits • Salary: 18,000 22,000 per month (In-hand) • Performance Incentives • Free Meal • Insurance Coverage • Day Shift • Long-term Career Growth Working Hours • Shift: Day Shift • Timing: 09:00 AM 06:00 PM • Working Days: 6 Days a Week Key Responsibilities • Perform structure fabrication and welding work • Operate and monitor manufacturing equipment • Assemble, inspect and pack products as per quality standards • Carry out preventive maintenance of machinery and tools • Maintain production records and tool inventory • Follow all safety and quality procedures • Support production and fabrication improvement activities Required Skills • Structure Fabrication • Arc/MIG Welding • Mechanical Fabrication • Machine Handling • Preventive Maintenance • Teamwork and Safety Awareness Eligibility • Freshers and experienced candidates (0 4 years) • ITI Fabrication, Welder, Fitter or Mechanical candidates preferred • Physically fit and willing to work in a manufacturing environment • Male candidates only Apply Now Office Address: 128/12A, Bidhan Sarani, Shyambazar Metro Gate No. 1, Inside Gandhi Market, Sajjy Dham, Kolkata 700004 You can also check updates on Google and social media: IDEAL CAREER ZONE Interested candidates can send their updated CV via WhatsApp: Contact (HR): 9231799122 Contact (HR): +91 8777211016 Contact (HR): +91 9331205133 Call Timing: 10:00 AM 8:00 PM Visit Timing: 12:00 PM
We're Hiring Senior AI Engineer (Generative AI Azure) Remote Immediate Joiners Preferred Salary: Up to 12 LPA We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices. Technical Summary • AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts • Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability • Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service • RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients • Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus • Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes • Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant) • Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring • Nice to Have: Microsoft Copilo
Entry Level Test and Evaluation Technical Services Specialist Company: The Boeing Company Boeing Defense, Space and Security (BDS), division of Space, Intelligence, and Weapons System (SI&WS) seeks an entry level Test and Evaluation Technical Services Specialist to join the Production, Test and Launch (PT&L) organization located in Heath, Ohio (35 minutes East of Columbus, Ohio). The selected candidate will be responsible for supporting the Test Equipment Maintenance team in performing calibrations, repairs and preventative maintenance on test stations. Position Responsibilities Include: Maintain bench stock inventory, validate accuracy and correct entry into property system, perform inventory audits. Parts research as necessary to assist supplier management in obtaining correct item. Manage all parts ordered through the purchase request tool. Ensure accurate and timely delivery of parts, test equipment, and materials that meet the needs of the test equipment maintenance team. Utilize multiple supplier management systems. Ensure compliance to Electrical, Electronic and Electromechanical (EEE) parts requirements. Assign correct commodity codes. Attend regular meetings as a resource for information on current parts and equipment orders. Provide status updates and estimated costs as well as shipping and delivery dates. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the listed location. This position requires the ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is
Auditing of Expense Reports Auditing of expense reports in Concur/Oversight/Appzen. Check for any policy non-compliance and highlight the same to employee. Processing of employee reimbursements as per the scheduled time. Corporate Card Administration Issuance of Corporate Credit cards basis approval. Processing increases in card limits after seeking necessary approvals. Closing of cards due to termination or non-compliance. Reporting & Helpdesk Preparation of monthly reporting for management review. Preparation of reports for internal stakeholders like spend reports. Managing the travel tool pertaining to travel booking. Providing helpdesk support to both external and internal clients. Supporting audit as per requirement. Should have worked in P2P process handling various activities like accurate invoice processing vendor payments query resolution month end accounting entries. Strong knowledge of accounting principles and practices. Should have experience of working in SAP Concur. Strong communication and interpersonal skills for effective collaboration with stakeholders. Should have ability to prioritize work and take quality decisions. Should be proficient in Microsoft Excel and other related applications. Address: IT4 Building, NESCO Center, 5th Floor, South Wing, Goregaon, Mumbai, Maharashtra 400063 Facility: SBS P2P Noram Qualification: Graduate Experience: 3 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP570902
This role is part of our Seobility team, one of our growing brands at saas.group. Seobility joined saas.group in 2022. The Seobility all-in-one SEO suite empowers businesses and marketers around the world to boost their website visibility with professional SEO tools. Starting in 2013 with a commitment to usability and actionable advice to make professional-grade SEO accessible, Seobility today has over 700,000 users and earned international awards along the way! Role Overview As the Head of Engineering at Seobility, you lead the technical heart of a mature, high-traffic SEO SaaS product. We've just completed a large relaunch of the platform last year — and are digging into the real work now: evolving what an SEO tool does as AI rewrites how people search and what they expect from software. In a rapidly changing market shaped by AI-driven search, you lead our organizational and technical evolution. Reporting directly to the CEO, you will bridge the gap between engineering challenges and business impact. You guide the team through a transformation toward greater autonomy and lead them towards outcome-focussed execution and AI-native engineering. We're a small, senior team — ambitious and driven, but we genuinely look out for each other. You'll find real scope to own and room to grow. Your Impact (First 3-6 Months) Build Trusting Partnerships: Establish deep working relationships with the engineering team and tech leads to foster our culture of psychological safety and high performance. Enable Distributed Ownership: Support the team in fostering ownership for outcomes. Guide the transition from functional (FE/BE) to end-to-end ownership. Optimize and Leverage: Partner with the team to resolve friction, bottlenecks and leverage AI potential. Implement a value-driven delivery flow with improved predictability and velocity. Strategic Roadmap: Start executing on a roadmap that balances the strategic transformation of our engineering (e.g. tech debt, AI-native engineering,
Work Flexibility: Hybrid What you will do: Work with product development team and help them with requirements management and system engineering. Assist in the deployment of tools such as JAMA etc. Work closely as administrator with functional leaders, organizational units, and subject matter experts on use case for projects and their processes. Train people, execute day-to-day configuration, support, maintenance and improvement of the tools, qualification of the tools and associated processes. Perform and own tasks including, but not limited to: User account maintenance, create filters and custom reports or dashboards for each project, as needed. Write script/ software to customize workflows and create configurations. Manage release cycles and validate the software tools and upgrade, backup, and baseline the project folders within each software tool. What you need: Required Qualifications: Bachelor’s degree in computer science, Computer Engineering or related field is preferred 2 – 7 years of experience Understanding of engineering lifecycle phases and design control processes and knowledge of Requirement Management and Test Management, Traceability. Experience with software and hardware defect tracking process and develop software using Python or any other scripting language & ability to understand and interpret electrical design and systems. Preferred Qualifications: Knowledge of JAMA workflows or similar tools like JI
Job Details: Job Description: We are seeking an experienced Analog Design and Infrastructure DA Manager to lead the development, deployment, and governance of analog/mixed-signal design environments and CAD infrastructure. This role owns EDA tool ecosystems, PDK integration, compute infrastructure, design data governance, and tapeout manifest management to ensure high productivity, reproducibility, and audit readiness across silicon programs..The ideal candidate combines deep analog/mixed-signal design flow and e-test structure development expertise with strong infrastructure leadership and disciplined configuration/data management practices. Key Responsibilities-1. Analog Design Environment and Flow Management-Own and maintain analog and mixed-signal design flows using platforms such as Virtuoso ,Develop and maintain schematic, layout, verification, and extraction flows (LVS, DRC).Support simulation environments including HSPICE, Corner analysis.Drive automation and methodology improvements to reduce turnaround time and increase design robustness. 2. Infrastructure and Compute Management Oversee Linux-based DA infrastructure including compute farms, storage systems, and license servers (FlexLM). Manage LSF/grid environments and job scheduling systems. Ensure scalability, system monitoring, high availability, and performance optimization. Partner with IT on hardware lifecycle planning, cloud integration, and disaster recovery. Maintain secure, access-controlled design environments aligned with IP protection policies. 3. Design Data, Manifest and Configuration Management Design Data Governance Manage large-scale analog design libraries, hierarchical database structures, and technology libraries. Define backup, archival, and retention policies for tapeout-critical data. Implement data integrity validation and corruption prevention controls. Oversee distributed stor
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. • Identify, diagnose and resolve assembly process related problems • Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step • Lead / participate in continuous yield improvement and cost reduction activities • Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction • Support SPC/FDC/RMS/APC • Support site to site portability • Manage / audit material suppliers to achieve quality, cost and risk management objectives • Support internal and external audits • Utilize AI assisted tool for problem solving About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more
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
Job Details: Job Description: As a Module Equipment Technician, you will play a vital role in ensuring the smooth operation of advanced manufacturing equipment used in semiconductor production. You will perform hands-on troubleshooting, maintenance, and calibration of electromechanical systems while supporting experiments and equipment modifications that drive cutting-edge advancements. Your work will directly contribute to enhancing equipment reliability and optimizing production efficiency, making an essential impact on Intel's manufacturing operations. Business Group Join Intel's Advanced Packaging Technology Development - Substrate and Wafer Assembly (ATPD: SWA) organization, a leader in delivering innovative and cost-effective substrate packaging solutions. This business group is focused on advancing Intel's capabilities in manufacturing technology to maintain competitive excellence across global markets. As part of this dynamic team, you will support critical equipment and collaborate on continuous improvement initiatives that align with Intel's broader mission of innovation and growth. Key Responsibilities Perform electrical and mechanical troubleshooting to diagnose issues with manufacturing equipment. Execute setup, calibration, corrective and preventative maintenance on production equipment, including wet chemistry, plating, and dry high-vacuum toolsets. Monitor tool performance and analyze data to identify and address equipment-related issues. Collaborate with engineering and support teams to improve equipment reliability and reduce downtime. Document maintenance activities, repair findings, and parts usage using established systems and procedures. Lead or contribute to continuous improvement projects, focusing on equipment optimization and yie
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