Advanced Engineering And Manufacturing Internship Jobs

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing & quality engineer, who will be responsible for driving technical initiatives related to the manufacturing, quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to coordinate with functional SMEs and work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. 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: Own the integrated manufacturing and quality readiness for a product across L6, L10, and L11, with clear gates, milestones, deliverables, owners, and closure criteria. Lead readiness of process flows, tooling, fixtures, assembly operations, test interfaces, and production controls. Review and contribute to work instructions. Translate product requirements into qualification plans, process controls, test requirements and acceptance criteria with design engineering and Area SMEs Coordinate and drive execution of product and process qualification, reliability testing, and validation with the relevant SMEs. Maintain traceable evidence that assigned products and processes meet agreed performance, reliability,

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. 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: In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions Provide hands-on product manufacturing analysis during desi

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life A career at Medtronic is like no other. We’re purposeful. We’re committed. And we’re driven by our Mission to alleviate pain, restore health and extend life for millions of people worldwide. The Sr. Manufacturing Engineer is responsible for leading and supporting manufacturing process development, optimization, and continuous improvement efforts to ensure safe, efficient, and high-quality production. This role provides technical expertise for process design, equipment implementation, troubleshooting, and validation while partnering cross-functionally with Operations, Quality, Supply Chain, and R&D to drive manufacturing excellence. The Sr. Manufacturing Engineer serves as a subject matter expert and technical leader, helping to improve productivity, reduce cost, enhance product quality, and support new product introductions and manufacturing scale-up. The role also evaluates and implements process improvements, advanced technologies, and engineering solutions that strengthen operational performance and compliance. Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient a

About the job Turn complex engineering changes into controlled, traceable actions that keep advanced AI hardware moving forward. As an Engineering Change Analyst, you’ll coordinate product and manufacturing changes across complex hardware. You’ll bring structure and momentum to every change. You’ll help ensure changes are complete, reviewed and implemented correctly. Your work will improve visibility and maintain accurate product records. You’ll coordinate ECRs, ECOs and Deviations throughout their lifecycle. You’ll also support impact assessments, change reviews and clear communication across teams. This role puts you at the centre of engineering, manufacturing, quality and supply chain. You’ll see how decisions become controlled product changes. The team and culture You’ll join Configuration Management within Manufacturing Operations. The team owns product configuration, engineering change control, product data governance and PLM processes. Day to day, you’ll work across technical teams and manufacturing partners. You’ll track actions, surface blockers and keep changes progressing. Good decisions depend on accurate information and clear ownership. You’ll help teams understand impacts, document decisions and resolve issues before changes move forward. What we’re looking for Essential Experience in engineering change control, product lifecycle management, or manufacturing operations. Experience using PLM, ERP, or engineering data management systems, with a solid understanding of bills of materials (BOMs), part numbering, revision control, and engineering documentation. Strong organisational skills and attention to detail, with the ability to coordinate multiple changes, track actions to completion, and escalate issues appropriately. Strong written and verbal communication skills, with the confidence to collaborate across Engineering, Manufacturing, Quality, and Supply Chain teams. Desirable Experience in electronics, semiconductors, computing, or complex hardware pr

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

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. 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. As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. You will collaborate with cross-functional teams across Product Engineering, Design Engineering , System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that imp

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning

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. Job Summary: Join the Product Engineering team to develop and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions that transform semiconductor manufacturing and engineering workflows. This role is responsible for building predictive analytics models, developing agentic AI solutions, enabling intelligent automation, and driving data-driven decision-making to improve yield, quality, cycle time, reliability, and cost efficiency. The successful candidate will leverage advanced machine learning techniques, large-scale semiconductor datasets, and AI technologies to solve complex engineering challenges. In addition, this role will mentor and enable Citizen Data Scientists (CDS) by providing technical guidance, training, and best practices in machine learning, analytics, and AI adoption. Strong technical expertise, innovation, collaboration, and communication skills are essential for success. Main Responsibilities: Machine Learning Development Develop, validate, and deploy machine learning models for yield prediction, test time optimization, reliability analysis, and manufacturing process improvement. Apply advanced analytics and machine learning techniques to large-scale structured and semiconductor manufactur

About the job Own the manufacturing excellence work that turns complex hardware into reliable, scalable production. As Manufacturing Operational Excellence Manager, you will improve quality, reliability and performance across Graphcore’s hardware lifecycle. You will connect manufacturing insight with engineering, quality and supply chain decisions. Your work will help products move from new product introduction into sustained production with stronger controls. You will use data to identify risks, understand failure mechanisms and drive measurable improvements. You will lead investigations, shape control plans and help teams act on manufacturing and reliability evidence. This role suits someone who can turn complex technical signals into clear action. The team and culture You will sit in the Quality team within Manufacturing Operations, working across silicon, board and system development. The team turns manufacturing and reliability insight into practical changes that improve products and processes. Work happens across boundaries, with manufacturing partners, engineering specialists and operations teams. You will bring structure, pace and evidence to complex decisions. This is an individual contributor role with real ownership. You will be expected to speak up, act quickly and lead through influence. What we're looking for · Strong technical grounding in manufacturing, quality or reliability engineering within semiconductor, advanced electronics or complex hardware environments. · Ability to apply structured problem-solving and data analysis to complex manufacturing or product quality issues. · Experience using statistical, process capability or reliability data to support engineering and operational decisions. · Understanding of new product introduction, production ramp and sustained volume manufacturing. · Confidence leading cross-functional investigations across manufacturing, engineering, quality and supply chain teams. · Ability to work with outsourced manufact

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 Wet Process Equipment Engineering organization supports advanced semiconductor manufacturing by ensuring critical equipment delivers the reliability, capability, and performance needed for leading-edge memory technologies. We work closely across Manufacturing, Process Engineering, Technology Development, Facilities, Industrial Engineering, Quality, Procurement, suppliers, and global engineering teams to improve factory performance and enable future technology transitions. As Sr. Manager, Wet Process Equipment Engineering, you will lead an engineering organization responsible for wet process equipment strategy, reliability, and manufacturing performance. You will develop engineering leaders and technical talent while driving improvements in equipment availability, output, yield, quality, cost, and technology readiness across a high-volume manufacturing environment. Responsibilities: Lead and develop engineering leaders, equipment engineers, and technical experts through coaching, succession planning, and clear organizational priorities Own equipment engineering strategy for wet clean, wet etch, batch and single-wafer processing, surface preparation, chemical management systems, and supporting infrastructure Improve equipment reliability, availability, throughput, defectivity, contamination control, process stability, cost of ownership, and preventive and predictive maintenance performance Partner across Manufacturing, Process Engineering, Process Integration, Technology Development, Facilities, In

Kincellis Advanced Therapies is a U.S.-based contract development and manufacturing organization supporting advanced-therapy developers from early-stage CMC, process and analytical development through clinical supply, pivotal-stage programs and commercial supply. With facilities in Gainesville, Florida; Research Triangle Park, North Carolina; and The Woodlands, Texas, Kincellis combines broad technical expertise with flexible, scalable GMP infrastructure across autologous and allogeneic therapies, including but not limited to CAR-T, Tregs, CAR-NK, MSCs, dendritic cell vaccines, exosomes, iPSCs & synthetic mRNA. For more information, visit our website at www.kincellis.com. Kincell is seeking a highly motivated Senior Technician who will be a key contributor to a dynamic and collaborative Facilities and Engineering team. The Senior Technician will be responsible for general maintenance of the facilities, preventive and corrective maintenance of the supporting infrastructure and equipment at the Kincell Bio facilities in Durham, NC. The role will require day-to-day activities to ensure the site remains active and in good repair. Essential Duties and Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. This list contains the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform role-related duties other than those contained in this document. The senior technician will assist in providing a clean, controlled environment for production. Perform and document preventative and corrective maintenance for manufacturing, lab, and facility equipment. Perform and document preventative and corrective maintenance for infrastructure and supporting equipment. Perform and document calibrations for manufacturing, lab and facilities equipment. Perform accurate, relevant documentation of all work performe

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 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

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. Job Description Summary As a MFG Senior Manager, you will be responsible for the strategic and tactical planning, leadership, and execution required to meet business objectives within budget. This includes, but is not limited to, short- and medium-term capacity planning, automation and AI enablement, equipment performance improvement, operational excellence, organizational development, talent management, and leadership development. The role is expected to leverage advanced analytics, artificial intelligence, and digital manufacturing solutions to improve productivity, quality, cycle time, and workforce effectiveness while building a high-performing and engaged organization. Responsibilities and Tasks Work with Equipment team to drive equipment performance continual improvements. Work with the Process Engineering and IE to assess and audit the capacity of each workstation in the strategic and tactical timeframe, identify increased throughput opportunities as well as risks to meet Cycle Time and Business Plan goals. Develop action plans to enhance opportunities and mitigate risks. Work with PIE and SIC team on new technology node and new part types line readiness matrix. Work with HVM/ADTT PEE and EE on area constraint management/improvements (dynamic constraints) . Work with OI team on area MAS scheduling, automation, line management systems and successfully roll out to the shift team. Work with Engineering team on tool qualification, release and install requirements, and maintenance