Ai Application Packaging Engineer in United States

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. About Fab 4 Wet Process Operations Fab 4 Wet Process Operations supports the safe, efficient, and high-quality movement of wafers through the Wet Process area. Our team works closely with peer manufacturing areas, Process teams, Equipment teams, and many other organizations to supervise fab performance, manage production risks, optimize cycle time, and drive execution against move targets. Through real-time decision making and continuous improvement, we help ensure the fab meets customer and business commitments. Position Summary The Shift Manufacturing Engineer (ME) is responsible for driving daily fab performance within the assigned area. This role partners closely with Manufacturing Technicians, Shift Lead Engineers, Process Engineers, and Operations teams to achieve wafer move targets, optimize cycle time, respond to quality concerns, and maintain efficient workflow through the manufacturing line. Working on a 12-hour compressed workweek schedule, this position provides real-time operational leadership by identifying manufacturing constraints, supervising material flow, supporting production decisions, and driving actions needed to meet weekly wafer movement and wafer-on-hand objectives. Responsibilities: Supervise wafer movement performance by DID, process step, and operational targets. Identify manufacturing gaps, WIP imbalances, bottlenecks, and workflow disruptions. Develop and implement plans to close gaps and achieve weekly move and wafer-on-hand commitments.</l

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 Corporate Financial Planning & Analysis (FP&A) team is seeking a highly motivated Financial Analyst to support a variety of planning, reporting, analysis, and process improvement initiatives. This role offers broad exposure to corporate finance, executive reporting, budgeting, forecasting, financial systems, and business analytics. The successful candidate will partner with finance professionals across the company to deliver insights that support strategic decision-making and operational excellence. Key Responsibilities Support financial planning, budgeting, forecasting, and month-end reporting activities Assist in preparation of executive-level financial reviews and presentations Analyze financial and operational performance to identify trends, risks, opportunities, and key business drivers Build and maintain reporting, dashboards, and analytical tools that support decision making Partner with stakeholders across finance and business functions to deliver actionable insights Contribute to finance transformation, automation, and improvement in execution initiatives Support financial systems, data governance, and projects focused on reporting improvement <span st

Solution Architect Program Manager Description - Job Summary The Solution Architect Program Manager is responsible for driving advanced technology solutions from early concept through architecture definition, proof of concept, productization planning, system integration, validation, and launch readiness. This role combines deep technical capability with disciplined program execution to ensure that innovative concepts are translated into clear scope, committed deliverables, product milestones, and launch timelines. This position requires strong solution architecture judgment, structured planning, and cross-functional leadership across engineering, product, hardware, firmware, software, validation, security, operations, and external partners. The role owns the bridge between concept feasibility and production execution by defining requirements, aligning stakeholders, managing schedules, resolving technical dependencies, tracking risks, and maintaining readiness documentation required to deliver solutions on product milestones and market launch commitments. Responsibilities Drive end-to-end solution programs from concept exploration, business and technical feasibility, architecture definition, POC execution, productization planning, system integration, validation, and launch readiness. Translate ambiguous innovation concepts into clear solution scope, use cases, requirements, architecture assumptions, success criteria, milestones, resource needs, and execution plans. Own integrated schedules that align engineering deliverables with product development checkpoints, POR decisions, validation gates, manufacturing readiness, and launch timeline commitments. Partner closely with product management, system architecture, hardware, firmware, software, security, validation, operations, and external suppliers to manage dependenci

Sr. Project Manager Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description • Problem solving on different client situations taking a data driven approach to shape best of breed solution

NVIDIA Research is seeking extraordinary networking innovators to join our NVResearch team. As a research intern on this team, you will contribute to the development of future high-performance networking and computing systems. We are seeking a balanced background of research excellence in building systems and a deep understanding and broad perspective across the fields of computer architecture and communication systems for distributed computation. NVIDIA has pioneered programmable GPUs and the CUDA language, and this visionary Research team will take those technologies to the next level with its creative ideas and new inventions. This position offers you the opportunity to have a real impact while working with some of the most creative and forward-thinking people in the world who are here at this dynamic, technology-focused company. What you'll be doing: Develop algorithms and design hardware and software, extending the state of the art in computing, networking, and other technology areas surrounding NVIDIA's business. Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results include prototypes, patents, and publications. Contribute to research that informs NVIDIA's technology direction 5-10 years out. Work focuses on long-horizon problems rather than products currently shipping or in development, except as to how they can be extended and improved. Projects can include but are not limited to: optimizing communication stacks for AI training and inference, designing network protocols and congestion control, co-designing AI systems across software and hardware, developing circuits and microarchitecture for network controllers and switches, and architecting networks built on optical switching and silicon photonics. What we need to see: Pursuing a

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in our San Francisco HQ and we offer generous relocation support for new hires. In this role, you will: Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in our San Francisco HQ and we offer generous relocation support for new hires. In this role, you will: Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. About the Role As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. In this role, you will: Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, p

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

About the Team The Real Estate & Workplace (REW) team creates and operates the workplaces and services that help OpenAI employees do their best work. Within Workplace Experience, Transportation connects our global office network through programs designed around employee needs, local conditions, and operational excellence. About the Role As Global Transportation Program Sr. Manager, you will own the strategy, expansion, and day-to-day performance of OpenAI’s employee transportation programs. You will make it easier for employees to get to and between our workplaces through reliable, accessible, and cost-effective commuting options. We’re looking for a builder who has launched and scaled employee transportation programs across countries in a fast-growing organization. You will translate our global workplace expansion plans into a transportation roadmap, establishing the systems, vendor partnerships, and operating practices needed to support new markets and growing offices. You’ll balance global consistency with local needs, creating repeatable approaches that enable local teams to deliver reliable service as the company scales. Location and work model : San Francisco, CA based, with required travel up to 10% to our global offices. This role will be in office Monday - Wednesday, with the option to work from home Thursdays and Fridays. In this role, you will: Own a global transportation expansion roadmap aligned with office openings, headcount growth, and changing commute demand. Prioritize investments, forecast capacity and costs, and lead launches from market assessment through operational readiness and ongoing service delivery. Manage the global employee transportation portfolio across shuttles, parking, micromobility, transit and commuter benefits, and EV charging. Determine the right service mix for each market based on employee needs, local infrastructure, accessibility, and cost. Build a scalable operating model across regions, including repeatable launch pla

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We are seeking an experienced attorney to serve as the commercial legal lead for Marketing. Based in San Francisco, you will be a primary legal partner to OpenAI’s rapidly growing global Marketing organization, supporting high-impact campaigns, creative production, talent and creator relationships, sponsorships, events, and the agreements and rights that make that work possible. You will work closely with Marketing, Communications, Partnerships, Procurement, Finance, Product, and colleagues across Legal, including Product, Privacy, Regulatory, and IP/Brand, to deliver practical advice at the pace of the business. This is a unique opportunity to help shape OpenAI’s Marketing efforts, negotiate sophisticated transactions, and build scalable legal frameworks for responsible global growth. We operate on a hybrid work model of three days per week in the office and offer relocation support for new employees. In this role, you will: Serve as the commercial legal lead for Marketing, partnering closely with Brand, Creative, Product Marketing, Design, Film and Photo, Performance Marketing, Partner Marketing, Communications, and regional teams from concept through launch. Draft and negotiate a wide range of marketing and entertainment agreements, including agency, production, talent and creator, sponsorship, event, media, content-licensing, marketing-technology, and vendor agreements. Structure and clear the rights needed for campaigns and content, including talent and appearance releases, publicity and

About the Role As Head of Finance - Data Centers, you will be the finance leader for OpenAI’s self-built data center efforts. You will partner with teams across infrastructure, real estate, energy, construction, procurement, and finance to turn proposed sites into sound investment decisions and funded projects. This role spans the full development lifecycle: evaluating opportunities, building investment cases, forecasting capital needs, managing construction budgets, and helping determine how projects should be financed. You will give leadership a clear view of project economics, funding requirements, and risks as we build data center capacity at scale. In this role, you will: Lead financial evaluation of proposed data center and related power infrastructure projects, including site economics, development costs, capacity phasing, lifecycle costs, and key risks. Build and own project-level models and capital expenditure forecasts that connect construction schedules, power delivery, equipment procurement, contingencies, and funding needs. Establish capital budgets and financial controls for active builds. Track commitments, actual spending, change orders, and forecasts to completion; identify cost or schedule risks early. Partner with development, engineering, energy, construction, and procurement leaders on decisions that affect cost, timing, and long-term performance. Work with Treasury, Corporate Finance, Tax, and Legal to evaluate financing options, including project or construction debt, leases, joint ventures, and other partnership structures where appropriate. Prepare investment recommendations and capital approval materials for senior leadership, translating complex project details into clear choices and tradeoffs. Build a consistent portfolio view of project costs, cash requirements, milestones, and financial performance. Partner with Accounting and operations teams through project completion and handoff. You might thrive in this role if you have: Prior exper

About the Team The Enterprise Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI. Within Enterprise Marketing, the Field Marketing team is responsible for translating business priorities into high-impact customer engagement motions across industries, regions, and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers. About the Role As an Enterprise Field Marketer, you will be a growth partner to Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts. Your focus will attach to the business’s most important needs at any given time, whether that means an industry motion, a regional priority, a strategic account, an executive engagement, or a new company-wide growth opportunity. You will own the full program lifecycle: translating sales priorities into field plans, identifying the right accounts and moments, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can move from territory strategy to tactical execution quickly, with strong commercial judgment and high accountability for outcomes. This role is based in San Francisco, CA or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Travel is expected for customer events, executive programs, industry conferences, and internal planning moments. In this role, you will: Build and execute field marketing plans aligned to priority seller gro