Production Line Management Engineer Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Creative Director Roblox is looking for an experienced Creative Director to shape industry-leading creative for our immersive gaming and creation platform. This hands-on role requires as much creative judgment as it does craft—we’re looking for someone who can evaluate whether an idea is worth making, hold a through-line across a campaign or platform moment, and push the work from well-executed to genuinely compelling. You'll direct creatives across multiple touchpoints, bring curiosity about how emerging tools and AI can improve the way the team works, and build the systems, culture, and talent that keep work moving efficiently from brief to delivery. You Will: Lead end-to-end concept development with a strong point of view on creative strategy, storytelling, and brand expression across digital and on-platform content Drive projects through the full production lifecycle — from concepting and art direction through delivery Experiment with and integrate AI tools to accelerate ideation, streamline production, and open up new ways of working without sacrificing craft Build and scale creative workflows, review cadences, and operational systems that allow the team to move quickly Mentor and deve

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

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Manager, Engineering - R&D Needham, MA (Onsite) We build products people genuinely love. As R&D Manager on the Ninja team in Needham, MA, you'll lead a small group of engineers through the full arc of product development — from first principles to production-ready hardware — while helping each person on your team grow into their best work. What you'll do Lead, hire, and develop a team of engineers across design studies, CAD execution, prototyping, and design verification Own designs end-to-end: drive fast iteration, apply sound engineering judgment, and hold the bar on quality, cost, and manufacturability Optimize designs continuously for DFM, materials, cost efficiency, and consumer value Collaborate with Product Development teams in the UK and China and cross-functional partners to get great ideas across the finish line What you bring B.S. or M.S. in Mechanical Engineeri

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: Strategize and lead productivity, yield, quality, cost improvement engagement with global sites and network team via process optimization, new/FOAK chemistry & technology qualification, CIP development collaboration with suppliers. Collaborate with cross functional team for breakthrough in defects reduction and particle removal efficiency enhancements. Develop roadmap for process and hardware CIP implementation Drive process & hardware improvement development with an emphasis on safety, defect reduction, cost efficiency, scale, quality, and sustainability in Wet Process (SWC, Bench, Scrub, Backside, Bevel, etc.). Collaborate with suppliers to establish equipment start-up acceptance criteria and tool service requirements, and work with global facilities to address new tool requirements. Improve tool efficiency and utilization across all Micron sites through benchmarking and innovative pathfinding solutions. Set up IoT sensors for defense line strengthening in Wet tools and develop new solutions for excursion prevention. Establish and improve process conditions and technology, upgrade process capability, and reduce production costs. Enable new solutions for energy savings, water conservation and waste reductions. Integrates AI-assisted tools and insights into daily work to improve efficiency, q

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor fie

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book. You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs. This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You w

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. Where Data Does More. Join the Snowflake team. Snowflake is seeking an entrepreneurial and visionary engineering leader to build and scale our new AI Solutions team. As the Director of Engineering for AI Enterprise , you will be at the forefront of the generative AI revolution, leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud. This is a critical, high-impact leadership role where you will partner with the world's largest companies to solve their most complex challenges and unlock transformative business value using Snowflake's powerful Cortex AI Platform. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence. Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals. Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML. Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments. Act as the senior engineering authority in cu

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Work directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. This role is offered as a hybrid in Brno, the Czech Republic . We are only able to accept applications for those based in the Czech Republic or who have sponsorship to live and work in the Czech Republic . What you'll do at Jamf : At Jamf, we empower people to be their best selves and do their best work. As a Software Engineer II on a new team enabling secure, governed adoption of autonomous and agentic workflows, you'll help build production systems where AI agents do real work on real code - authoring changes inside deterministic gates, with independent verification and a full audit trail. This is a greenfield build inside a mature platform, starting with Security. What you can expect to do in this role: Build the production systems where AI agents do real work on real code – authoring changes that run inside deterministic gates, with independent verification and a full audit trail behind every one. Take customer and platform problems, break them into workable pieces with your agile team, and own most of them end to end. Draw the line on autonomy: design the trust boundaries, blast radius, and least-privilege model for the automation itself, which holds elevated access to production. Build the evaluation and observability that keeps non-deterministic systems honest – measuring accuracy and catching silent degradation before anyone else

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. This role is offered as a remote in Poland . We are only able to accept applications for those based in Poland or who have sponsorship to live and work in Poland . You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. What you'll do at Jamf : At Jamf, we empower people to be their best selves and do their best work. As a Software Engineer II on a new team enabling secure, governed adoption of autonomous and agentic workflows, you'll help build production systems where AI agents do real work on real code - authoring changes inside deterministic gates, with independent verification and a full audit trail. This is a greenfield build inside a mature platform, starting with Security. What you can expect to do in this role: Build the production systems where AI agents do real work on real code – authoring changes that run inside deterministic gates, with independent verification and a full audit trail behind every one. Take customer and platform problems, break them into workable pieces with your agile team, and own most of them end to end. Draw the line on autonomy: design the trust boundaries, blast radius, and least-privilege model for the automation itself, which holds elevated access to production. Build the evaluation and observability

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? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line. As a Data Engineer, you will: Work directly on new customer experiences built on one of the most advanced AI systems in the world Collaborate daily with researchers and engineers who are some of the best in the world at what they do Run implementations end-to-end and see initiatives through to real outcomes Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy You may be a good fit if you have: 5+ years of experience working on production-grade data processing systems Strong command of Python and SQL Experience with distributed data processing frameworks such as Apache Beam, Spark, or

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. Your responsibilities will include, but are not limited to, the following: Primarily focus on wafer matching including lot pairing and execution. Configure the bonding UI and continuously track development lots, including interpreting wafer matching outputs, executing wafer shuffling within the bonding UI, and monitoring subsequent wafer build and pairing. Apply AI-enabled ways of working to improve efficiency in wafer matching operations, lot tracking, data summarization, exception monitoring, and routine reporting where applicable. Assist Process Integration (PI) Engineers to coordinate and trouble shoot daily line issues such as disposition of line deviations and engineering job submissions for analysis. Assist in inline inspection and coordinate non-routine metro/RDA inspection on R&D experiments. Support process flow setup activities for production and the short loop flow. Extract, analyze, and summarize data from SWR and Conversion experiments in a report format and make recommendations to engineering based on the data. Manage wafer shipment logistics between fabs (swap lots and fab-to-fab offloads) for technology transfer and yield learning. Monitor key inline/probe/final parametric indices for any deviation an

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are hiring a Staff Software Engineer to join our data platform (AAP) team in Dublin. The AAP team owns the foundational data infrastructure that powers Toast's analytics products and AI/ML capabilities: real-time streaming pipelines, a cloud-native data lakehouse, feature serving for ML-driven product experiences, and the infrastructure that enables product teams across Toast to build intelligent, data-driven experiences for our 170,000+ restaurant customers. We are in the middle of a significant platform evolution: migrating to Apache Iceberg, standing up a new Feature Store, conducting Databricks evaluations, and scaling our streaming infrastructure to meet the demands of a rapidly growing business. As a Staff Software Engineer, you'll be the technical lead for major parts of this evolution. You'll design and lead the delivery of platform capabilities that several teams depend on, doing deep hands-on work and making design calls that account for streaming, storage, serving, and the teams consuming them. You'll be the go-to expert in your area of the platform, working with product and engineering partners inside and outside our line of business. You'll make the engineers around you better through mentorship, design reviews, and the example you set. Success looks like other engineering teams moving faster because of the platform you help build. A day in the life (Responsibilities) Lead the delivery of significant data platform capabilities, from early design through production rollout, across the AAP team and the teams that depend on it Work hands-on with Kotlin/Java, Spark, Iceberg, and our streaming infrastructure, diagnosing performance, reasoning through trade-offs, and writing the code that sets the pattern for others Anticipate how requirements will change and design

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do: Own end-to-end pricing experimentation, from test design through analysis and recommendation Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship Synthesize complex findings into clear, actionable recommendations and present them to senior leadership Required Skills and Experience: 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field) 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and

We’re seeking an experienced engineer to lead bump interconnect development for advanced semiconductor devices (2.5D/3D/chiplet/fan-out). This role spans ubump and C4 bump metallurgy, RDL design and plating, chip-side and interposer capture pad design rules, OSAT engagement, reliability, failure analysis, and cross-functional support through package and system productization. Core Responsibilities Own end-to-end bump interconnect development for both ubump (micro-bump) and C4 processes, including bump formation, and reflow for use with mass reflow, TCB, and LAB chip attach for high-performance semiconductor packages. Define and own bump metallurgy stacks for ubump (e.g., Cu pillar/SnAg) and C4 (e.g., SAC alloys) interconnects, including UBM selection and pad finish specifications for both chip-side and interposer capture pads. Develop and own design rules for bump interconnects including pitch, bump diameter, standoff height, keep-outs, and land pad geometry for both the chip side and interposer or substrate capture pads. Lead RDL (redistribution layer) process development including electroplating of Cu RDL traces, via fills, and pad finishes; define RDL design rules for line/space, via diameter, and layer stack-up to meet electrical and reliability requirements. Collaborate with OSATs and bumping foundries to qualify ubump and C4 bumping processes, drive design rule alignment, and manage process transfers into production. Evaluate and mitigate bump interconnect assembly risks including non-wet opens, voiding, head- in-pillow, intermetallic growth, and joint fatigue failures across both ubump and C4 interconnect types. Perform root cause analysis of assembly and reliability failures using cross-sectioning, SEM, CSAM, and other failure analysis techniques. Support reliability qualification including thermal cycling, drop, mechanical shock, and power cycling. Work cross-functionally with design, reliability, thermal, and manu