Tool Install Engineer Jobs

Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn't just possible—it's essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement, we're redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers. If you're driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. Role Overview As a Managed Service Manager , you will play a highly visible role partnering with business leaders, customers and carriers to ensure world class delivery across a diverse portfolio

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Technical Architect, Security at GitLab, you'll lead the design and implementation of secure enterprise solutions for Professional Services clients across AMER. You'll assess complex security architectures, guide security tool and CI/CD migrations, including legacy tools such as Jenkins, and implement GitLab security capabilities to help customers meet compliance frameworks such as NIST 800-53, ISO 27001, and SOC 2. This role requires depth in secure reference architecture design across cloud security, identity management, vulnerability management, and deployment choices

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role Enterprises hand Cohere their most sensitive data and put our models inside workflows they can't afford to get wrong. Securing that means working on problems the industry hasn't settled yet, what authorization means when an agent acts on a user's behalf, how to contain tools that consume untrusted input, and whether tenant boundaries hold when a model can be steered by the data it reads. The established playbooks only take you so far. We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation, testing what ships, and turning what you learn into defaults other teams inherit. This is a hands-on engineering role, not an advisory one. What you’ll do Lead security reviews. Review architecture, code, and security-sensitive changes. Identify both individual vulnerabilities and the recurring design patterns behind them. Secure AI-powered products. Evaluate risks such as prompt injection, unsafe tool use, identity and delegation failures, excessive agency, data exposure, tenant isolation, and san

Job Details: Job Description: This is a central requisition for all Ocotillo Technology Fabrication (OTF) functional areas. Successful candidates will be aligned to the areas that match best with factory needs. Join Intel and build a better tomorrow. Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. Our high-volume manufacturing facility in Chandler, Arizona is looking for amazing talent. Join and help us create the next generation of technologies that will shape the future for decades to come. The Ocotillo Technology Fabrication (OTF) Module Engineer role is multifaceted. The ideal candidate will have a passion for instrumentation and equipment with the goal of developing a robust manufacturable process module. This is a central requisition for all functional areas: Litho, Wet Etch, Dry Etch, Diffusion, Implant, Planar and Thin Films. Successful candidates will be aligned to the areas that match best with factory needs. As an OTF Module Engineer you will play an important role in the OTF engineering team. You will be responsible for owning all aspects of one or more of the factory's 300mm toolsets. Your sustaining responsibilities will include the safety and cleanliness of your area and ensuring Copy Exactly for your toolset. You will also be expected to review the relevant control charts and tool output daily and ensure your toolset and layers remain excursion free. You will be responsible for delivering Model of Record (MOR) availability and achieving 100 percent matching for all relevant operations. For new technology start-ups, you will be responsible for tool installations, conversions, and qualifications; and sustained matching performance. You will be expected to drive continuous improvement in the he

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role In an AI-native environment, the product shifts fast, new workflows emerge weekly, and customers and internal teams surface needs in real time. Someone has to meet those needs at the speed they arise. That's this role. As a lead learning experience designer, you'll own a fast-paced, high-volume learning design track focused on short, targeted, just-in-time courses — typically 15–45 minutes each, built in sprints of three weeks or less, shipping roughly 15+ courses per year. You'll build focused one-off courses that plug specific gaps: a new workflow, a role-specific skill, a tool that just shipped, an AI topic that can't wait for the next curriculum cycle. These courses are standalone, purpose-built, and often shorter-lived — responding to the moment. You'll work both proactively (scanning for emerging needs) and reactively (fielding requests from across the company and from customers). The pace is fast, the iteration cycles are tight, and the environment is dy

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. 概要 CMP/BONDING工程における装置エンジニアとしてご活躍いただくポジションです。 本ポジションでは、半導体業界でも先進的なBONDING技術の新規装置立ち上げに携わっていただきます。 CMP量産工程の維持・管理にとどまらず、最先端の半導体BONDING技術開発の最前線で、新たなプロセスや装置の導入・最適化を推進していただく重要な役割です。 確立された技術を運用するだけでなく、試行錯誤を重ねながら課題解決に取り組む機会が多くあります。 そのため、技術革新やイノベーションに興味があり、自ら考え行動しながら新たな価値を創出することにやりがいを感じる方に最適な環境です。 ルーティンワークよりも、変化の多い環境で挑戦を楽しみながら成長したい方のご応募をお待ちしております。 職務内容 CMP/BONDING process toolの立ち上げ 必要な安全教育をすべて完了し、Micronの安全方針に従ってすべての作業を実施する 新装置の設計、開発、特性評価を主導し、ハードウェアおよび手順上のギャップを特定・解消する 作業品質、コスト管理、プロジェクトスケジュールの遵守を確保しながら、装置のインストールとアップグレードを監督する 装置ベンダーと連携し、既存製品の改善とロードマップのニーズ実現に努める 装置の性能、運用手順、保守仕様、コスト指標をまとめた文書の作成・維持管理を行う 社内監査および社外監査への対応 AIを用いた業務工数改善、データのサマライズ 必須条件 半導体業界での経験、または生産現場における装置・設備エンジニアとしての経験をお持ちの方 データや事実に基づく問題解決能力をお持ちの方 チーム内外の関係者と円滑なコミュニケーションを図り、協働して業務を推進できる方 技術的な内容を理解し、説明・教育・開発に活用できる能力をお持ちの方 優れた時間管理能力およびマルチタスク遂行能力をお持ちの方 Microsoft Office（Excel、Word、PowerPoint）の実務経験をお持ちの方 クリーンルーム環境において継続的に業務を遂行できる方 日本語での円滑なコミュニケーション能力（JLPT N1相当） 英語による基本的なコミュニケーション能力（高校卒業レベル以上） ※海外拠点とのメールや会議、英語の技術資料を扱う機会がありますが、翻訳ツール等を活用しながら対応いただける環境です。現時点で高い英語力は必須ではありませんが、継続的に学習する意欲をお持ちの方を歓迎します 歓迎条件： Digital Skills（スクリプト作成、RPA、Tableau等）に関する基礎知識・実務経験 ビジネスレベル以上の英語力 Summary This position is for an Equipment

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities and Tasks Product Quality (PQ) Predictive Solutions: Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes. Agentic AI and LLM Development: Contribute to the design and implementation of multi-agent systems for PQ workflows, including code generation, automated troubleshooting, and process optimization. Work with retrieval-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM-based applications. Assist in implementing tool-using capabilities, function calling, and agent memory systems. Software Engineering and Productionalization: Develop maintainable code and analytical pipelines suitable for high-volume manufacturing environments. Optimize for performance, latency, and token efficiency. Collaborate with senior team members on testing, deployment, and monitoring. Communicate analytical insights, model behavior, and results clearly to technical and non-technical stakeholders Integ

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization . Our mission is to build the next generation of high-performance and intelligent inference systems . We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering , using AI not only as the workload we optimize, but also as a tool to accelerate system deve

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one . We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: Ability to apply your

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 Leverage AI-enabled tools and data-driven insights to optimize manufacturing planning, improve operational decision-making, enhance productivity, and drive continuous improvement across module manufacturing operations." Manage and monitor key performance indicators (KPIs) for the department. Ensure accuracy of weekly plans in the 0-13 weeks’ horizon to meet demand requirements /Business Plans, in particular, within the BE Pipeline Planning Commit window. Co-ordinate site responses to build plans, changes requests and ad-hoc scenarios in the tactical 0-26 week horizon. Interface with BE Central Planning, External Mfg, FE SIC, Supply Chain and Procurement to ensure optimal tactical response to customer/supply requirements including any pull-ins, support requests as well as cross-site processing. Effectively partner with IE, Site NPI team and PE Planning for required capacity and product mix adjustments, including of support execution of new product introduction and customer samples. Manage inventory daily both at starts and manufacturing line, in accordance to supply chain design and operational goals. Partner with Site operations team and Operations Improvement team to execute production commits and to drive continuous improvement in tool utilization, cost and cycle time. Collaborate with internal and external stakeholders to build and execute strategies that are aligned to corporate objective

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. Job Responsibilities Yield Loss Accounted For Account for HBM NPI builds across PWF, Assembly, and test through defect breakdown and PFA submission to understand fail mode Work closely with PI to identify defect that is coming from their area to brainstorm for CIP Learn NPI processes, phase gates, and yield best practices Assist in maintaining yield dashboards and trackers. Support PI/PE/RDA in identifying and transforming processing data to account/ breakdown a yield loss Yield Deviation Control Analyze and report on yield deviation issue and trigger action from PI, PE or RDA Support block run and partial conversion build yield analysis to early detect any impact on yield Work closely with PCS team to identify SPC or FDC charts to put into YLR dashboard for shift left monitoring Yield Improvement Opportunities Brainstorm with staff from other departments to brainstorm for improvement opportunities to propose to PI Utilize software tool like Auto-diagnostics to find yield improvement opportunities Integrating Artificial Intelligence Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements Contributes to a culture of continuous improvement by identifying, testing, and sha

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role The AI Outcomes Manager is DevRev's unified post-sales owner — bringing Customer Success and Customer Support together into a single role. Instead of handoffs between siloed teams, you own accounts end-to end: resolving issues, driving adoption, managing escalations, and making sure customers extract measurable value from what they bought. You manage each account by its health and needs — proactively spotting risk and opportunity — rather than by whether a given interaction is labelled "support" or "success." AI is your multiplier, not a tool you use on the side. Our AI agent handles first-line triage, ticket classification, routing, knowledge retrieval, and deflection — so you can focus on what AI can't do: complex judgment, strategic enablement, relationship building, and driving outcomes. You'll be measured not just by what you do directly, but by how well you leverage AI to scale across a full portfolio. What you'll own Your portfolio — a book of enterprise and growth accounts under single, accountable ownership. The model protects depth over volume. The customer relationship, end-to-end Own accounts from implementation and go-live through adoption, renewal health, and expansion. Be the customer's

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. We are part of Micron’s Technology Development organization, focused on building and scaling advanced wet process equipment that enables next-generation DRAM. We partner closely with vendors, process teams, and manufacturing to bring new tools from concept to high-volume production. Our work blends hands-on engineering with real impact on performance, cost, and sustainability—making this an exciting place to shape the future of memory! In this role, you will develop, optimize, and sustain liquid-phase processing equipment used in advanced semiconductor manufacturing. You will work across R&D and manufacturing environments, solve complex hardware challenges, and help drive tools to meet aggressive performance and reliability targets. This is a high-ownership role with strong multi-functional exposure and direct impact on tool development at scale. Responsibilities: Develop and optimize wet process equipment for advanced DRAM nodes Partner with vendors and internal teams to resolve hardware gaps Drive installation, qualification, and upgrades of new tools Apply data analysis to monitor tool performance and solve issues Support transfer of processes from development to manufacturing Minimum Qualifications: Bachelor’s degree in Mechanical Engineering, Chemical Engineering, or related field 3+ years of experience in semiconductor equipment or process engineering Knowledge of wet process equipment and semiconductor fabric

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

We're hiring an AI Support Engineer to work directly with the founder and build the systems that power customer support at Bolna. This isn't a traditional support role — you'll use AI to make support scale, and you'll partner closely with the business team on the customer conversations that matter most. What you'll do - Work directly with the founder to design and continuously improve how customer support runs at Bolna - Pull and collate data from Intercom to spot patterns, recurring issues, and gaps in how customers are being helped - Build AI-powered workflows that triage, answer, and resolve customer support queries with less manual effort - Design the systems and processes behind a streamlined, scalable support flow — from triage to escalation to resolution - Step in directly on critical customer support situations alongside the business team when it matters - Turn recurring support themes into feedback for product and engineering What we're looking for - 1–3 years of experience in a support, ops, or technical customer-facing role — ideally somewhere that rewarded building your own tools and process, not just following a playbook - Hands-on comfort with AI tools/workflows (prompting, automations, agent builders) — you don't need to be an ML engineer, but you should be someone who reaches for AI to solve a workflow problem - Experience with Intercom or a similar support/helpdesk tool - Sharp, structured communicator — equally comfortable writing to customers and to the founder - Comfortable with ambiguity — this role is being built as you build it Nice to have - Experience setting up support automations, chatbots, or AI agents in a real product company - Familiarity with SQL or basic scripting to pull/analyze support data - Startup experience, especially in a 0-to-1 function