Total Productive Management Equipment Engineer Jobs

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. At Micron in Boise, ID, we are investing $15 billion in semiconductor manufacturing, a historic initiative. As a global leader in memory and storage innovation, we drive information into intelligence that encourages the world to learn, communicate, and progress faster than before. We are looking for hardworking individuals to join our expansion team and contribute to growth and innovation in the semiconductor industry. As a High-Volume Manufacturing Shift Equipment Engineer, you will be a part of a world-class team supporting our critical high-volume manufacturing ramp. This hands-on role includes monitoring, maintaining, and upgrading equipment while collaborating with process team members and area engineers. You will be responsible for managing tool performance, performing preventative maintenance, and addressing mechanical, electronic, and software issues to guarantee flawless equipment functionality. This is a shift position rotating 3-4 days off a week. Responsibilities: Partner with Equipment Owners and Shift Engineers/Technicians to resolve yield loss, excursions, defects, tool restrictions, or output loss and drive root cause analysis to permanent prevention. Improve area/shift KPIs by driving Long Term Down (LTD) reductions, Manufacturing Availability (MA) improvements, and excursion prevention to optimize fab performance. Drive a culture of Total Productive Maintenance (TPM), including TPM metrics, workstation health reports, continuous improvement. Ana

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. As a Global Facilities Standardization Engineer at Micron, you will lead the implementation of systems and programs that improve performance and reliability for all Facilities operations. You will be the champion for fostering a continuous improvement culture that drives operational excellence. Your work will be crucial in ensuring that our operations run flawlessly, enabling Micron to compete at the highest levels. You will collaborate with cross-functional teams to drive projects and successfully put them into practice worldwide. Responsibilities: Implement Total Productive Maintenance (TPM) at your assigned site(s) by conducting training sessions and workshops. Track, assess, and communicate the progress of Standardization and TPM adherence for your assigned site(s). Analyze maintenance data and derive insights to improve operations performance, reliability, and cost. Standardize Preventative Maintenance Procedures throughout the Facilities network. Collaborate with Global Facilities Central Engineering to identify, develop, and implement Best Known Methods for operation and maintenance across the Facilities network. Conduct audits to verify compliance with Best Known Methods.</p

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 Lead Director of Value-Based Contracting is responsible for establishing and maintaining productive value-based relationships with key network providers. Responsible to develop and manage the Keystone Value-based Network as outlined below: Accountable for building strategic relationships with our provider partners to develop innovative value-based solutions to meet total cost and quality goals. Responsible for developing alternative payment models, identifying and planning new initiatives, and negotiating high value/risk contracts with the most complex arrangement structures, which requires: understanding providers’ volume and cost structure working cross functionally to identify the levers and critical negotiation points aligning negotiation strategies and tactics with network accessibility, quality, compliance and financial performance goals In charge of complete value-based contracting cycle from planning, creating documents, negotiation and loading of executed arrangements. Works with Performance team, Clinical Transformation team, VBS Analytics team and other key internal teams to develop a value-based strategic plan and oversee contract performance with targeted provider groups to ensure we meet objectives for value-based provider agreements. Evaluates, helps formulate, and implements network strategic plans

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. The Role We’re looking for a high-impact Revenue Enablement Manager to facilitate and continuously improve our new hire onboarding program for North America. This role will be responsible for managing an exceptional onboarding experience that equips new hires with the knowledge, skills, and confidence they need to ramp quickly and become productive members of the revenue organization. You’ll serve as a key facilitator and owner of the day-to-day onboarding experience, partnering closely with Sales Development, Sales, Customer Success, RevOps, Talent Acquisition, and the broader Enablement team to deliver a consistent, high-quality program that drives new hire readiness and performance. What You’ll Do Facilitate & Deliver New Hire Onboarding Own the day-to-day delivery and facilitation of our North America new hire onboarding program Facilitate engaging, high-quality live training sessions for new hires across Sales, Customer Success, and other customer-facing teams Create an exceptional learner experience that balances strong content, engaging facilitation, and practical application Prepare thoroughly for each onboarding cohort, ensuring content, materials, technology, and logistics are ready for delivery Ad

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the role As the Senior Analyst, Total Rewards (Data Insights & Modeling), you will be a strategic partner reporting directly to the SVP, Total Rewards. You will bridge the gap between complex data science and talent strategy, serving as a lead architect for our global compensation structures. You will go beyond traditional reporting to build and maintain the predictive models that forecast salary market movement, simulate compensation cycles, and drive pay equity outcomes. This position is pivotal in ensuring our compensation practices remain fair, equitable, and market-relevant, directly supporting our ability to attract and retain the world-class talent necessary to sustain The New York Times’s journalistic mission. Responsibilities Strategize design and maintenance of global compensation structures using advanced data science and predictive analytics. Develop sophisticated models for variable pay (AIP/LTI) and annual merit/bonus cycles under various business performance scenarios. Build predictive models to forecast salary market movement and internal budget requirements. Conduct statistically significant pay equity analyses to identify and remediate gaps across demographics. Build and maintain automated Total Rewards benchmarking tools and executive dashboards. Lead the advancement of data insight capabilities to support compensation analytics for the New York Times workforce. Manage participation in external compensation

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The People Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We're a small, high-impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we're not just replicating old dashboards — we're rethinking what self-service analytics looks like for a People team. That includes exploring ThoughtSpot's AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There's real greenfield work here, and we're looking for someone who wants to help define what AI-powered people analytics looks like at Lyft. We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards. This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities: Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting

Zoox’s Talent team is seeking an Executive Sourcer to join our Executive Recruiting function. In this pivotal role, you will act as a force multiplier for our Executive Recruiting team, partnering directly with the business to identify the visionary leaders who will drive our mission forward. This position requires a highly strategic mindset. You will develop recruitment strategies, create data-driven market maps, and uncover passive leadership talent for our most critical Director, VP, and C-Suite roles. You will serve as the first point of contact for industry leaders, acting as a brand ambassador to articulate the Zoox mission and value proposition. In this role, you will... Market Mapping: Conduct extensive research to map the talent landscape in relevant industries (e.g. robotics, AI, automotive, software, hardware, operations). Talent Strategy: Collaborate with the Executive Recruiting team and hiring partners to define search criteria and build top-of-funnel strategies for niche and hard-to-fill leadership roles. High-Touch Outreach: Craft bespoke, compelling outreach campaigns to engage passive executive candidates. You will move beyond standard InMails to find creative ways to connect with top-tier talent. Candidate Assessment: Own the top-of-funnel screening process—conducting initial high-level screens to assess qualifications, leadership capability, cultural fit, and genuine interest in the Zoox mission, and driving the evaluation that shapes which candidates advance. Long-Term Nurturing: Build and maintain a network of potential future leaders, keeping warm relationships with top talent for future opportunities as we scale. Qualifications: Experience: 6+ years of total sourcing experience, with at least 1 year of experience focused on executive search (Director+). Executive Sourcing & Talent Mapping: Demonstrated expertise in proactive candidate sourcing, including developing and main

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evalua

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evaluating models for classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). - Experience with a deep learning fra

About Us Blueshift is the Intelligent Customer Engagement Platform (CEP), headquartered in San Francisco, that empowers leading B2C brands to drive truly personalized, 1:1 marketing across every channel. Founded by repeat entrepreneurs who previously built Mertado (acquired by Groupon) and were part of the early team at Kosmix (acquired by Walmart), Blueshift leverages AI, including Predictive, Generative, and Agentic AI, to automate customer engagement for clients like ClearScore, LendingTree, Udacity, and U.S. News. Backed by top-tier VCs including Nexus Venture Partners, Storm Ventures, and SoftBank Venture Asia, the company has raised a total of $65 million in venture funding and is consistently recognized as a market leader and a Deloitte Technology Fast 500 award recipient. Blueshift is actively scaling its development center in Pune, India. As part of our team, you will drive innovation in cutting-edge technologies including machine learning, artificial intelligence, big data, and large-scale distributed data systems. This is an exciting career path for motivated individuals looking to build complex, impactful solutions that define the future of customer engagement. AI Solutions Engineer II As a Software Engineer in the AI Solutions team , you occupy a unique techno-functional position. You are not a researcher; you are an implementation specialist and problem-solver . You bridge the gap between our core AI infrastructure and real-world customer impact. You aren't just writing code; you are applying data engineering, analysis, and AI knowledge to help global brands realize the full potential of AI-driven marketing. Responsibilities End-to-End Solution Delivery: Lead the full lifecycle of custom AI projects—from initial customer design and technical architecture to testing and production implementation. Production Stewardship: Take ownership of the "last mile" of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and deb

Callaway Golf is a leader in total performance, premium golf equipment and active lifestyle products while also being a great place to work! We are passionate and push the limits of innovation. We dare to be great while acting with integrity and respect. We stay hungry, yet humble. All while having fun and making golf enjoyable for everyone! Our company is a blend of experience and diverse backgrounds, and our leaders have a strong history of building and selling successful initiatives. We are working to build a truly groundbreaking company, and we want top-notch people to join us in that mission. Callaway Golf Europe is excited to offer a fantastic opportunity to join our Manufacturing team as a Manufacturing Manager based in Swindon . Work Arrangement: This position is site based at our Manufacturing and Distribution Centre in South Marston Business Estate, Swindon (SN3). Monday – Friday, 07:30 – 16:00 (40 hours per week). The Manufacturing Manager will join us on a full time, permanent basis, and in return you will receive a competitive salary of up to £65,000.00 per annum depending on experience, alongside a great range of benefits, including: Health care maintenance cash plan Employee assistance programme Contributory pension scheme Private medical insurance Life insurance Generous holiday entitlement, plus an additional day off on your birthday Staff discounts Interest-free leisure and season ticket loans About the Role The Manufacturing Manager will play a key role leading the Custom Club, Logo and Embroidery production departments. As a member of the Site Leadership Team, you will drive operational excellence across safety, quality, delivery, productivity and cost, while developing high-per

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Position Summary We are hiring a Software Dev Engineer to design, build, test, and deploy AI-powered applications. You will work across the full application lifecycle — from architecture and implementation through automated testing, CI/CD deployment, and production monitoring — building features that put large language models and agentic tooling to work inside SonicWall's internal systems. This is a hands-on engineering role for someone with 6–8 years of professional software development experience who is comfortable owning services end to end: writing production-quality code, integrating LLM and agentic APIs, standing up reliable data and retrieval pipelines, and shipping through a disciplined test-and-release process. You will collaborate closely with senior engineers, product stakeholders, and platform teams to turn requirements into dependable, well-tested applications. Key Responsibilities Develop AI applications: Design and build features and services that use LLM and agentic capabilities — prompting, tool/function calling, retrieval-augmented generation (RAG), and orchestration — to solve real internal business problems. Write production code: Implement clean, mai

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. Location: Remote (US East Coast/Central) As our team and customer base grow, we need to make sure our security efforts scale accordingly. For that, we are looking to expand the Synthesia Infosec team by onboarding an additional Security Engineer (L6)! You will report to the Head of Security and work within the Security Operations team. Key Responsibilities: Build and own deeply technical security improvements across our Cloud Infrastructure(s) and associated territory (AWS/GCP, Kubernetes, CI/CD), including shipping production changes yourself when needed. Design, implement, and iterate on detection and response capabilities (SIEM, EDR/MDR, cloud-native detections, CNAPP) with an engineer’s bias for automation, reliability, and measurable outcomes. Hunt, investigate, and respond to security alerts and suspicious activity end-to-end (triage → containment → eradication → recovery → learnings), including writing tooling and detection logic to prevent recurrence. Build internal security tooling and automations (IaC, scripts, integrations) that reduce toil and raise the security bar by default. Experience & Qualifications: You’re a deeply technical security engineer with a builder/hacker mindset, able to go from

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig