Engineering Maintenance Lead in United States

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! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting t

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Security Governance, Risk, and Compliance (GRC) team is part of Plaid’s security organization, focused on enabling the business by proactively managing information security risks and maintaining effective controls. Our mission is to reduce the likelihood and impact of security risks while operating a robust assurance program that builds trust with our customers, consumers, and data partners. We own Plaid’s security compliance frameworks, run our audits and risk programs, and partner across the company to keep Plaid’s platform secure, resilient, and aligned with industry and regulatory expectations. GRC Engineering is how we make all of that scale — turning compliance into code, evidence into telemetry, and audits into a continuous, automated capability. The Role: You will own GRC Engineering at Plaid — a foundational, high-ownership role defining an emerging discipline from the ground up. Today most of our compliance work is manual and point-in-time; you will turn it into an engineered system that is continuous, data-driven, and scalable, and set the technical direction for the field. You will: Define the discipline and the architecture — how GRC Engineering works at Plaid, not just execute with

The product operations team enables product excellence at scale at Datadog. With over thirty standalone products on a single platform, product operations drives consistency, efficiency, and quality across the organization. As a Product Operations Manager, you will help the product organization do its best work. You'll build and scale the processes, frameworks, and cross-functional workflows that enable PMs and their partners to ship effectively. This includes touchpoints with inbound, delivery, outbound workstreams in product development. This is a role for someone who thrives in the space between teams: driving alignment, removing friction, and ensuring that the operational foundations of the product org can keep pace with Datadog's growth. At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own and improve the full Product Development Life Cycle . Own and drive operational excellence for product launches. This includes coordinating across Product, Engineering, Marketing, Sales, Customer Success, and Support to ensure we are ready to bring quality products and support to our customers. Build AI-powered workflows and agents that automate and accelerate operational work. From customer feedback triage to launch tracking to cross-functional reporting, you'll experiment with and deploy AI tools and custom agents to help the product org move faster and smarter. Build and maintain a single source of truth for launches giving cross-functional partners real-time visibility into what's shipping, when, and what's needed from each team. Drive centralized product knowledge and enablement , ensuring PMs and stakeholders have the tools, resources, templates, and context they need to succeed and making it easily discoverable. Analyze and quantify product signals. Query pro

Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. Hiring : Assis

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering 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 building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do Own core observability infrastructure, including distributed logging, time series, and trace storage Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. Contribute to UI experiences like dashboards, notebooking, or interactive debugging Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Have full-stack chops or product sensibilities—you're excited to build real tools people use. Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). Bonus : built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team We’re b

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

About the Role The Engineering Acceleration team builds and operates the foundational systems that engineers use to build, test, and ship ChatGPT, the API, and OpenAI's infrastructure. We are looking for an engineer to help evolve OpenAI's build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, and software quality. You will work on the systems that determine how quickly and confidently engineers can move: Bazel-based builds, Buildkite pipelines, test selection, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to make OpenAI one of the most productive engineering organizations in the world while preserving a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping useful systems instead of fighting infrastructure. In This Role, You Will Own and evolve Bazel-based build and test workflows across a large, polyglot monorepo. Design and maintain Starlark rules, macros, toolchains, and integrations that make builds reproducible, hermetic, and easy for product teams to adopt. Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, test sharding, retry behavior, and flake isolation. Build systems that reduce unnecessary CI work through affected-target detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling. Improve local development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly without learning every detail of the build stack. Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/exec

About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration. In This Role, You Will Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. Technologies commonly used in this environment include: Kubernetes for large-scale container orchestration and runtime infrastructure Python and FastAPI for internal services Terraform for infrastructure as code GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems) Buildkite for CI orchestration You may be a strong fit if you: Have worked with Kubernetes-based deployment systems at scale Have experience building or operating continuous deployment platforms Are familiar with GitOps tooling such as

The Performance Research Engineer will play a critical role in advancing TaylorMade's leadership in golf equipment performance. This role bridges physical testing, player testing, Tour-level data collection, and advanced analytics to deliver actionable insights that influence product design, product validation, and performance optimization. The ideal candidate is a hands-on engineer with strong mechanical aptitude, advanced data skills, deep golf intuition, and the ability to translate player feedback into clear engineering direction. Essential Functions and Key Responsibilities: Lead the design and execution of advanced performance testing protocols for golf clubs and balls, including lab, player, field, and Tour-based testing environments. Serve as a category-focused Performance Engineering owner for one or more product areas, with potential emphasis across Woods, Irons, Putter/Wedge, or cross-category initiatives. Support PGA/LPGA Tour and elite-athlete testing by collecting clean, repeatable, decision-ready data while operating professionally and respectfully in player-facing environments. Analyze large datasets from lab, player, and field testing to extract insights on ball speed, launch, spin, consistency, delivery, impact location, dispersion, and performance tradeoffs. Translate Tour and player-test observations into clear engineering recommendations, product questions, validation plans, and follow-up experiments. Develop and maintain automated data pipelines, dashboards, and reporting tools for performance tracking, project communication, and cross-functional decision-making. Collaborate with R&D, Product Development, Tour, Fitting, Consumer Insights, and Analytics teams to integrate player feedback and real-world data into product design.

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing The Senior Industrial Engineer plays a vital role in advancing manufacturing and distribution excellence by driving efficiency, innovation, and continuous improvement across operations. This position applies industrial engineering principles to optimize production processes, facility layouts, material handling systems, and labor utilization while supporting East Coast manufacturing and distribution teams. The role leads projects involving equipment installation, relocation, and workflow redesign; develops labor and capacity models for global golf ball manufacturing; and identifies opportunities for cost reduction, productivity gains, and operational improvements. Through data-driven analysis, reporting, and cross-functional collaboration, the Senior Industrial Engineer helps ensure safe, efficient, and scalable operations that support long-term business growth. What You Bring Bachelor’s degree in Industrial Engineering or a related Engineering discipline required Minimum of 5 years of Industrial Engineering experience Proficient in the use of computers and engineering software Ability to sit, stand, walk, crawl, and climb for extended periods as needed Proficiency with AutoCAD and Microsoft Office applications Experience with facility layout design and optimization Strong knowledge of capacity planning and capacity analysis Experience with Lean manufacturing, process simp

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing: Titleist is seeking a passionate and driven Associate Research Engineer to help shape the future of golf club performance through innovation, engineering, and data-driven design. In this role, you will apply engineering principles, scientific methods, and advanced computational tools to explore emerging technologies, analyze golf club designs and biomechanical swing dynamics, and validate concepts that contribute to next-generation Titleist products. Working alongside world-class researchers, engineers, and product designers, you will leverage modeling, simulation, and testing techniques to solve complex design challenges and uncover new opportunities for performance advancement. You'll collaborate across Research, Design, Product Development, Testing, Manufacturing, Sales, and Marketing to evaluate concepts, support product innovation, and translate technical findings into meaningful product improvements. This is a unique opportunity to deepen your expertise in golf club research and development, contribute to patentable technologies, and play a direct role in creating the high-performance products trusted by golfers around the world. What You Bring: Bachelor’s degree in Mechanical Engineering, Engineering, Computer Science, or a related field required. Strong foundation in engineering analysis, problem-solving, and product development. Experience with MATLAB and/or Python required. Exposure

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing Help shape the future of golf innovation as a CAD/CAM Programmer and Prototype Engineer . In this highly hands-on role, you will partner closely with R&D and engineering teams to transform new product concepts into functional prototypes that support next-generation golf equipment development. Using CAD/CAM software and advanced CNC machining technologies, you will design, program, machine, and refine prototype club heads, components, and precision fixtures. You will play a key role in bringing ideas from concept to physical reality by developing machining strategies, optimizing designs for manufacturability, and solving complex manufacturing challenges throughout the product development process. This role combines CAD/CAM programming, prototype machining, fabrication, and product development collaboration. Successful candidates enjoy working both at the computer and on the shop floor, building and improving prototypes while contributing to innovative product solutions. What You Bring Bachelor's degree in Mechanical Engineering or a related field, or equivalent professional experience in CAD/CAM programming, CNC machining, and prototype development. 3&#43; years of CAD/CAM programming experience, preferably with Siemens NX, Mastercam, Fusion 360, or similar CAD/CAM platforms. Experience with other advanced CAM systems will also be considered. <

Job Details: Job Description: Do Something Wonderful At Intel, we put silicon at the center of the world’s most meaningful innovations. From personal computing and AI to cloud-scale data centers and edge platforms, our processors power technologies that touch billions of lives. If you’re passionate about building world-class silicon at massive scale, we want to build the future with you. The Team You’ll join Intel’s All Cores Engineering (ACE) organization, the team responsible for designing and delivering Intel’s industry‑leading CPU cores. Within ACE, the Atom group focuses on high‑efficiency, performance‑per‑watt optimized cores that enable everything from client platforms to emerging edge and scalable solutions. This is a hands‑on senior engineering role with direct impact on next‑generation CPU silicon. What You’ll Do As a Senior CPU Design Verification Engineer you will play a critical role in ensuring architectural correctness, functional robustness, and power‑efficient performance of Intel’s Atom CPU designs before first silicon. Key responsibilities include but not limited to the following: Lead pre‑silicon functional verification of complex CPU and SoC logic to ensure full compliance with architectural and microarchitectural specifications. Develop and execute verification plans, testbenches, and SystemVerilog/UVM environments, ensuring comprehensive functional and coverage closure. Define, run, and analyze system‑level simulations to uncover functional, performance, power, and corner‑case issues. Debug and root‑cause complex RTL, microarchitecture, and integration issues; drive issues to resolution with design teams. Collaborate cross‑functionally with CPU architects, RTL de

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. The US Construction Engineering department is responsible for the design and construction efforts for high-tech, large-scale projects for Micron in the US. Current high-profile projects include the design and construction of two high-volume manufacturing fabs in Boise, ID1 and ID2, and a third fab in Clay, New York. We are seeking an experienced Chemical Systems Engineer to oversee the third-party design of chemical delivery and handling systems for high-tech large-scale construction projects. The Chemical Systems Engineer will manage external design firms, ensuring that chemical systems meet stringent project specifications, safety standards, and regulatory requirements. This role requires deep technical expertise in chemical systems, strong project management skills, and effective collaboration with multidisciplinary teams to deliver safe, efficient, and compliant systems for semiconductor manufacturing. Job Responsibilities: Manage third-party design firms in developing chemical delivery and handling systems, including storage, distribution, and hazardous waste management. Coordinate with external and internal stakeholders—including contractors, vendors, procurement, finance, construction and design teams—to ensure alignment with facility needs and project schedules. Ensure seamless integration of third-party designs with facility systems using Building Information Modeling (BIM) tools like Revit and Navisworks. Review capacity plan

Job Details: Job Description: The Role and Impact As a Manufacturing Quality and Reliability Engineer, you will be instrumental in ensuring high-volume manufacturing ramps meet Intel's rigorous quality and reliability standards. On a day-to-day basis, you will evaluate materials, processes, and techniques used in production, conduct quality audits, and develop systems for early detection and containment of potential issues. Your work will directly enhance Intel's ability to deliver high-performing products while fostering a culture of continuous improvement across manufacturing operations. Business Group You will be joining Intel Foundry, a world-class manufacturing organization dedicated to driving innovation and excellence across Intel's operations. This team focuses on ensuring quality and reliability in product engineering, manufacturing, and supplier collaborations, contributing to Intel's broader mission of delivering cutting-edge technology solutions. By leveraging data-driven insights and advanced methodologies, the group plays a critical role in supporting Intel's leadership in semiconductor technology. Key Responsibilities - Drive manufacturing ramp qualifications to ensure processes and products meet quality and reliability standards. - Specify inspection and testing mechanisms to monitor product and production equipment compliance. - Conduct in-depth quality assessments and audits to identify improvement opportunities. - Lead initiatives to optimize cost, ramp, and production volume efforts while maintaining quality. - Collaborate with product engineering forums to recommend design or process improvements for enhanced reliability. - Develop proactive systems and capabilities for early detection and containment of discrepancies. - Manage ma