Field Implementation Manager 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. Micron’s Design Engineering organization is dedicated to creating world‑class memory and storage solutions through sophisticated digital and analog circuit innovation. Our teams span the globe and collaborate across technology development, product design, systems architecture, and validation to deliver industry‑leading semiconductor products. The Principal Design Engineer plays a key role in developing, analyzing, and optimizing circuit designs that power Micron’s next‑generation memory technologies. This role partners closely with diverse teams—including Product Engineering, Test, Probe, Process Integration, Assembly, and Marketing—to ensure best‑in‑class performance, quality, cost efficiency, and time‑to‑market. Responsibilities: Design and optimize memory circuits from gate‑level to full chip implementations. Lead development of schematic blocks such as memory arrays, control logic, address decode, datapath, and internal test logic. Perform advanced circuit simulations using industry tools (e.g., SPICE, VERILOG) to validate performance. Drive architectural decisions related to power, speed, die area, and overall circuit performance. Collaborate with technology development and business units to define design rules, device requirements, and validation strategies. Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related technical field (or equivalent practical experience). Experience in se

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. Architect and deliver AI-enabled PLM solutions using MCP, GenAI, AI agents, and enterprise integration patterns. Drive automation, knowledge discovery, data insights, and workflow optimization while ensuring secure, scalable, and governed AI adoption. Responsibilities: Work with the PLM and Enterprise Product solution leadership team, to define strategy and roadmaps. Define software standards across the Teamcenter PLM solutions, and develop close partnership and collaboration with business team members. Work alongside external IT teams and come up with solution architecture collaboration/alignment across several project teams. Deliver designs, mock-ups, and software solutions based on the Siemens PLM Teamcenter (Tc) application. Design, implement, and support PLM solutions involving multiple Bill of Materials (BOM) types (e.g., BOI, BOP, BOE), ensuring alignment with complex business and manufacturing requirements. Lead and support data migration, system cutover, and launch activities for large Teamcenter implementations, coordinating closely with multi-functional IT and business teams. Minimum Qualifications: We require a Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field. Applicants must have 5+ years of experience as an IT Solution Architect passionate about PLM solutions. Hands-on experience delivering at least three medium to large Siemens Teamcenter implementations, with res

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team… We’re a high-impact, collaborative Order to Cash Revenue team that sits at the intersection of key teams within GoDaddy (Finance, Accounting, and Technology). Our mission is to ensure accurate, timely, and compliant revenue recognition while optimizing the end-to-end Order-to-Cash process to support GoDaddy’s global financial operations and enable informed business decisions. We support innovation by bridging the gap between technical capabilities and accounting requirements, enabling our teams to make data-driven decisions with confidence. Join us to make an impact! What you’ll get to do… Contribute to month-end close by preparing journal entries, account reconciliations, and account analysis in a timely manner. Support global billing for corporate customers, and perform research on billing discrepancies. Identify and actively provide solutions for automation and process improvement while ensuring daily responsibilities are completed with detail, accuracy, and timeliness. Support audit activities by maintaining and improving SOX compliance for accounting functions and participating in SOX documentation and testing. Partner with Accounting, Engineering, and Finance stakeholders across the globe to support system implementations and improvements across ERP, billing and revenue systems. Your experience should include… 3-5 years of relevant accounting experience. Bachelor’s degree or equivalent experience in Accounting, Finance, or a related field. Foundational understanding of accounting theory, knowledge of US GAAP and willingnes

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Life at Intel We developed the Intel microprocessors, a foundational technology that powers a diverse range of devices-from entry-level PCs to high-end gaming desktops and laptops, as well as data center solutions and many other applications. As part of our team, you will help design the next generation of high-performance microprocessors. We are looking for a skilled individual who is hands-on with RTL implementation for integer, floating point and reservation station logic and can provide technical leadership to deliver world-class products. As a CPU RTL Logic Design Engineer your responsibilities will include but are not limited to: • Collaborates, drives and develops logic design, register transfer level (RTL) coding, and simulation for a CPU required to generate cell libraries, functional units, and the CPU IP block for integration in full chip designs. • Participates actively in the definition of architecture and microarchitecture features of the CPU being designed. • Applies various strategies, tools, and methods to write RTL and optimize logic to qualify the design to meet power, performance, area, and timing goals as well as design integrity for physical implementation. • Reviews the verification plan an

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 the Facilities SmartFac & Control Engineer, you are required to lead engineering and maintenance works in the fields of SMART Fac and Control systems on site, with the necessary guidance and direction from Facilities organization, to achieve facilities department, site, facilities corporate and company goals. Job Responsibilities: Lead on site Smart System transformation and on implementation of Smart fac projects with AI-enabled detection and analytics in collaboration with other Micron Departments. Lead on Sustainability and Environmental Control system deployment with early detection and predictions, utilizing Industry 4.0 system. Lead on labor productivity automation projects with innovative idea to improve facilities team efficiency. Plan, design and lead Control Automation engineering projects includes new construction, system upgrading and quality improvement. Lead troubleshooting and attend to abnormalities in support of Operations in a timely manner on system under Smart FAC & Control section w

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. RESPONSIBILITIES Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms. Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics. Primary support of deployed internal fabrics in our AI Datacenters. Direct escalation for Hardware, Link and, Performance issues on network fabrics. Escalation support for customer network fabrics (aligned to reference arch.) Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters. REQUIREMENTS Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field. 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters. Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN. Versed in High-Bandwidth networ

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict , PropensityBench , and Professional Reasoning Benchmark . Why join the HFC HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team. Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions. Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more. Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who should apply Background : PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field. Skills : Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlo

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict , PropensityBench , and Professional Reasoning Benchmark . Why join the HFC HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team. Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions. Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more. Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who should apply Background : PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field. Skills : Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlo

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict , PropensityBench , and Professional Reasoning Benchmark . Why join the HFC HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team. Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions. Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more. Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who should apply Background : PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field. Skills : Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlo

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Intel's Foundry Automation (IFA) team is hiring a Software Application Development Engineer. As part of our team, you will partner with end users in Fab Manufacturing and Engineering to deliver innovative solutions specially crafted for the ever-changing needs of our highly automated factories. To integrate these solutions, you will work closely with our Software Development teams and execute testing, implementation, troubleshooting and documentation of business processes. You will work at the intersection of software engineering and advanced manufacturing, collaborating with cross-functional teams to analyze business processes, gather requirements, implement software releases, and drive continuous improvement. This is a unique opportunity to make a direct and meaningful impact on Intel's 24/7 manufacturing capabilities while growing your technical expertise in a dynamic, fast-paced environment. Key Responsibilities: Collaborate with internal customers and partners to identify emerging data and business needs, and translate those needs into effective software solutions Analyze existing manufacturing processes and procedures to identify opportunities for optimization and improvement Gather and document business and technical requirements from stakeholders across Fab Manufacturing and Engineering Execute the im

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical and AI methods to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Develop dashboards, reports, and/or forecasts Ensure the quality of our tracking and data collection Help preserve our culture of fact-based decision making as we scale You have... Pursuing an undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Spring/Summer 2027 Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes Previous experience analyzing large datasets and communicating results Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data Excellent presentation and communication skills Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture Able to relocate to Pittsburgh, PA or New York, NY Exceptional candidates will have... Ex

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. Participate in architecture discussions, API design, technical proposals, and code reviews. Build reliable, scalable infrastructure software for next-generation AI workloads. Write clear technical documentation and design proposals. What we need to see B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. Deep understanding of Kubernetes and the cloud-native ecosystem. Experience extending, building, or contributing to Kuberne

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 building innovative physical design capabilities that help bring advanced semiconductor products from concept to silicon. Our team collaborates across design, verification, and manufacturing disciplines to deliver high-quality solutions using leading-edge technologies. We value technical excellence, continuous learning, and a culture of teamwork and innovation. As a Physical Design Engineer, you will play a key role in driving semicustom physical implementation from netlist handoff through tapeout. You will work closely with cross-functional engineering teams to optimize design quality, achieve physical signoff, and support successful product delivery in advanced technology nodes. Responsibilities: Execute the semi-custom physical design flow from netlist handoff through physical verification and tapeout Develop and maintain floorplans, placement, routing, power distribution networks (PDN), and physical design constraints Perform DRC, LVS, parasitic extraction, and physical signoff activities Analyze and resolve timing, signal integrity, electromigration, IR drop, reliability, and manufacturability issues Partner with cross-functional teams to drive design closure, debug issues, and support tapeout readiness Minimum Qualifications: Bachelor's or Master's degree in Electrical Engineering or a related field Experience in VLSI physical design, semiconductor lay

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. Micron’s High Bandwidth Memory Design Architecture team develops memory solutions for AI accelerators, high-performance computing, and data centers. We bring architecture and physical implementation together to shape products that are efficient, manufacturable, and ready for demanding applications! As a Custom Layout Architecture Engineer , you will use physical layout expertise to inform HBM architecture and implementation decisions from concept through tapeout. You will work with design, architecture, process, verification, and product engineering teams to balance performance, power, area, routability, and manufacturability. This role supports the design and deployment of AI-enabled solutions that improve efficiency and decision-making. Responsibilities: Assess HBM architecture choices through layout feasibility, floorplanning, and performance, power, and area analysis Lead custom layout and full-chip integration for analog, mixed-signal, digital, and memory blocks Resolve antenna, latch-up, ESD, electromigration, IR drop, routability, and power-delivery constraints Complete DRC/LVS, parasitic extraction, post-layout validation, and tapeout support using industry-standard EDA tools Build scripts and automation that improve layout quality, verification, and design-cycle time Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Electronics Engineering, or a related technical field 4+ years of semiconductor physical layout experience with a

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 building innovative physical design capabilities that help bring advanced semiconductor products from concept to silicon. Our team collaborates across design, verification, and manufacturing disciplines to deliver high-quality solutions using leading-edge technologies. We value technical excellence, continuous learning, and a culture of teamwork and innovation. As a Physical Design Engineer, you will play a key role in driving semicustom physical implementation from netlist handoff through tapeout. You will work closely with cross-functional engineering teams to optimize design quality, achieve physical signoff, and support successful product delivery in advanced technology nodes. Responsibilities: Execute the semi-custom physical design flow from netlist handoff through physical verification and tapeout Develop and maintain floorplans, placement, routing, power distribution networks (PDN), and physical design constraints Perform DRC, LVS, parasitic extraction, and physical signoff activities Analyze and resolve timing, signal integrity, electromigration, IR drop, reliability, and manufacturability issues Partner with cross-functional teams to drive design closure, debug issues, and support tapeout readiness Minimum Qualifications: Bachelor's or Master's degree in Electrical Engineering or a related field Experience in VLSI physical design, semiconductor lay